Careers at Instacart

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview As a Senior Machine Learning Engineer on the Ads Response Prediction team, you will own and execute the development of ML models that power Instacart's ads ecosystem. This is a research-leaning role focused on theoretical problem formulation, training methodology, and model quality rather than infrastructure or full-stack engineering. You will work on meaningful challenges in pCTR modeling such as mitigating selection bias, position bias, and optimizer's curse in training data, improving model calibration across surfaces and domains, and advancing our multi-task learning and sequence modeling capabilities. You will contribute to our foundation model approach for ads ranking and work on cutting-edge retrieval systems like TIGER (Transformer Index for Generative Recommenders), Semantic ID and domain language models. The Ads Response Prediction team owns all systems, algorithms and ML models to ensure a relevant and engaging Ads experience to customers of all the platforms powered by Instacart. This includes search and exploration retrieval systems, sequential modeling and generative retrieval systems for next interaction recommendations, LLM integrations, relevance models, pCTR models, bidding models and incrementality models. The team optimizes for an efficient marketplace to ensure delightful customer shopping experience, desirable advertiser business outcome and Instacart Ads revenue. The team has strong ML infrastructure and MLOps support, including Delta/DBT-Spark data pipelines, Ray-based distributed training, and automated model deployment. This means you can focus your energy on advancing modeling science rather than building infrastructure. About the Job Own and execute research and development of pCTR and conversion prediction models, with a focus on improving calibration, reducing training data biases (selection bias, position bias, optimizer's curse), and advancing model accuracy across Instacart's ads surfaces. Design and implement debiasing techniques such as Mixed Negative Sampling (MNS), Inverse Propensity Weighting (IPW), counterfactual risk minimization, and calibration methods (Platt scaling, isotonic regression) to address systematic prediction biases. Contribute to the next-generation Multi-Domain Multi-Task (MDMT) model architecture, incorporating innovations like Mixture-of-Experts (MoE), Transformer layers for sequential user behavior, and LoRA adapters for scalable domain fine-tuning. Contribute to sequence modeling initiatives including the TIGER generative retrieval system and Semantic ID representation learning, expanding their application across ads surfaces such as Product Details, Search and other placements. Collaborate with the broader ML community in the company on the path toward Foundation Models using autoregressive user behavior prediction. Formulate and scope ambiguous modeling problems within your project scope from first principles. Translate business observations (e.g., overcalibration patterns, cold-start underperformance) into well-defined ML research directions with clear evaluation criteria. Publish and present findings internally. Contribute to the team's culture of technical rigor through design reviews, paper sharing, and experiment retrospectives. About You Minimum Qualifications Master's or PhD in machine learning, statistics, computer science, information retrieval, or a closely related quantitative field; or equivalent experience. 3+ years of combined academic and industry experience (including PhD research) applying ML to ranking, recommendation, or prediction problems at scale. Deep understanding of CTR/conversion prediction modeling, including familiarity with architectures such as Deep & Wide, DeepFM, DCN, and multi-task learning formulations. Strong foundation in causal inference, counterfactual reasoning, and training data bias mitigation. Ability to reason about selection bias, position bias, and propensity-based correction methods. Proficiency in Python and deep learning frameworks (PyTorch, Tensorflow, JAX). Fluency in data manipulation tools (SQL, Spark, Pandas). Track record of formulating ambiguous problems into well-scoped ML research directions and delivering results through rigorous experimentation. Strong written and verbal communication skills. Ability to explain complex modeling decisions to cross-functional stakeholders including product managers and data scientists. Preferred Qualifications Experience in ads ranking or auction-based systems (pCTR, bid optimization, ROAS feedback loops, marketplace dynamics). Hands-on experience with autoregressive sequence models for user behavior prediction, generative retrieval, or transformer-based ranking architectures. Familiarity with learned representations such as Semantic IDs, product embeddings, or other approaches to reducing feature cardinality and cold-start challenges. Experience with transfer learning or domain adaptation techniques (e.g., LoRA, adapter-based fine-tuning) applied to recommendation or ranking models. Publication record in top-tier venues (KDD, WWW, RecSys, NeurIPS, ICML, SIGIR, or similar). Familiarity with LLM-driven approaches to recommendation, including prompt-based personalization and AI-assisted model development (AutoML). #LI-Remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here . Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here . For Canadian based candidates, the base pay ranges for a successful candidate are listed below. CAN $180,000 — $190,000 CAD

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview As a Senior Machine Learning Engineer II on the Ads Response Prediction team, you will lead the design and development of core ML models that power Instacart’s ads ecosystem. This is a research-leaning role focused on theoretical problem formulation, training methodology, and model quality rather than infrastructure or full-stack engineering. You will tackle fundamental challenges in pCTR modeling such as mitigating selection bias, position bias, and optimizer’s curse in training data, improving model calibration across surfaces and domains, and advancing our multi-task learning and sequence modeling capabilities. You will also have the opportunity to shape our next-generation foundation model approach for ads ranking and contribute to cutting-edge retrieval systems like TIGER (Transformer Index for Generative Recommenders), Semantic ID and domain language models. The Ads Response Prediction team owns all systems, algorithms and ML models to ensure a relevant and engaging Ads experience to customers of all the platforms powered by Instacart. This includes search and exploration retrieval systems, sequential modeling and generative retrieval systems for next interaction recommendations, LLM integrations, relevance models, pCTR models, bidding models and incrementality models. The team optimizes for an efficient marketplace to ensure delightful customer shopping experience, desirable advertiser business outcome and Instacart Ads revenue. The team has strong ML infrastructure and MLOps support, including Delta/DBT-Spark data pipelines, Ray-based distributed training, and automated model deployment. This means you can focus your energy on advancing modeling science rather than building infrastructure. About the Job Lead research and development of pCTR and conversion prediction models, with a focus on improving calibration, reducing training data biases (selection bias, position bias, optimizer’s curse), and advancing model accuracy across Instacart’s ads surfaces. Design and implement debiasing techniques such as Mixed Negative Sampling (MNS), Inverse Propensity Weighting (IPW), counterfactual risk minimization, and calibration methods (Platt scaling, isotonic regression) to address systematic prediction biases. Contribute to the next-generation Multi-Domain Multi-Task (MDMT) model architecture, incorporating innovations like Mixture-of-Experts (MoE), Transformer layers for sequential user behavior, and LoRA adaptors for scalable domain fine-tuning. Drive sequence modeling initiatives including the TIGER generative retrieval system and Semantic ID representation learning, expanding their application across ads surfaces such as Product Details, Search and other placements. Collaborate with the broader ML community in the company on the path toward Foundation Models using autoregressive user behavior prediction. Formulate and scope ambiguous modeling problems from first principles. Translate business observations (e.g., overcalibration patterns, cold-start underperformance) into well-defined ML research directions with clear evaluation criteria. Publish and present findings internally. Contribute to the team’s culture of technical rigor through design reviews, paper sharing, and experiment retrospectives. Graduate degree (Masters or PhD) in machine learning, statistics, computer science, information retrieval, or a closely related field. About You Minimum Qualifications PhD/Master in machine learning, statistics, computer science, information retrieval, or a closely related quantitative field. 6+ years of combined academic and industry experience (including PhD research) applying ML to ranking, recommendation, or prediction problems at scale. Deep understanding of CTR/conversion prediction modeling, including familiarity with architectures such as Deep & Wide, DeepFM, DCN, and multi-task learning formulations. Strong foundation in causal inference, counterfactual reasoning, and training data bias mitigation. Ability to reason about selection bias, position bias, and propensity-based correction methods. Proficiency in Python and deep learning frameworks (PyTorch, Tensorflow, JAX). Fluency in data manipulation tools (SQL, Spark, Pandas). Track record of formulating ambiguous problems into well-scoped ML research directions and delivering results through rigorous experimentation. Strong written and verbal communication skills. Ability to explain complex modeling decisions to cross-functional stakeholders including product managers and data scientists. Preferred Qualifications Experience in ads ranking or auction-based systems (pCTR, bid optimization, ROAS feedback loops, marketplace dynamics). Hands-on experience with autoregressive sequence models for user behavior prediction, generative retrieval, or transformer-based ranking architectures. Familiarity with learned representations such as Semantic IDs, product embeddings, or other approaches to reducing feature cardinality and cold-start challenges. Experience with transfer learning or domain adaptation techniques (e.g., LoRA, adapter-based fine-tuning) applied to recommendation or ranking models. Publication record in top-tier venues (KDD, WWW, RecSys, NeurIPS, ICML, SIGIR, or similar). Experience mentoring junior engineers or shaping technical direction for a modeling team. Familiarity with LLM-driven approaches to recommendation, including prompt-based personalization and AI-assisted model development (AutoML). #LI-Remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here . Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please rea d more about our benefits offerings here . For US based candidates, the base pay ranges for a successful candidate are listed below. CA, NY, CT, NJ $240,000 — $253,500 USD WA $230,000 — $243,000 USD OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI $221,000 — $233,000 USD All other states $201,000 — $212,000 USD

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. OVERVIEW The Developer Experience team at Instacart is the force multiplier for our 1000+ engineers. We define and build the platforms, tools, and practices that enable Instacart engineers to ship high-quality software faster — from AI-powered code review to build infrastructure, developer onboarding, and local development environments. Our success is measured in developer velocity: how quickly an engineer can take an idea from concept to production. As a Staff Software Engineer on Developer Experience, you will lead the technical direction for the developer infrastructure that every Instacart engineer relies on. That spans local and remote development environments, CI pipelines and the feedback loop on every commit, pre-production environments that engineers and AI agents can trust, version-control infrastructure, and the AI-powered developer tooling woven through all of it. This is a hands-on technical leadership role. You'll write code, set architectural direction, and partner across the org to move engineering-wide metrics on developer velocity, CI reliability, and the time it takes to get a change safely into production. About the Job Lead the technical direction for Instacart's local and remote development environments, including ephemeral environments, image-based provisioning, health checks, and the developer-facing ergonomics of the inner development loop. Lead the technical direction for our CI pipeline infrastructure and the commit-to-feedback loop, CI reliability, failure diagnostics, flaky-test reduction, and shift-left validation. Own the architecture and evolution of our pre-production environments, including staging stability, service-owner accountability models, and environments that let engineers and AI agents validate changes end-to-end in parallel. Drive the reliability and resilience of our git infrastructure, git operations at monorepo scale, and implement disaster recovery plans. Advance AI-powered developer tooling across the workflow, AI-assisted code review, agentic development workflows, and the platforms that let engineers run many AI sessions in parallel with humans on the loop. Design and drive multi-quarter initiatives that measurably improve developer velocity, CI reliability, pre-production health, and the local development loop. Own the developer experience metrics for the systems you lead: define what "good" looks like, instrument it, and use the data to prioritize investment. Partner with infrastructure, platform, and product engineering teams to roll out platform changes with minimal disruption Set the technical bar for the systems you own on reliability, performance, upgrade cadence, and developer ergonomics. Mentor engineers in the team and the broader engineering org; grow the community of developer infrastructure experts at Instacart. Represent the team in cross-org technical discussions on local development experience, CI/CD, pre-production, and AI-augmented development. About You A hands-on technical leader who is equally comfortable in a CI pipeline definition, a design doc, a vision document, and a cross-org migration plan. Metrics-driven. You use build times, CI failure rates, pre-production pass rates, feedback-loop latency, and developer feedback to guide where to invest. A multiplier. You make the engineers around you more effective through mentorship, clear technical writing, and pragmatic guidance. Comfortable driving cross-team change. You can build consensus for a migration or a platform shift and see it through to adoption. Minimum Qualifications 10+ years of software development experience. Deep, hands-on experience operating CI/CD systems at scale (e.g., Buildkite, GitHub Actions, Jenkins, CircleCI), including pipeline design, reliability, and performance tuning for large engineering organizations. Experience building or operating local/remote development environments or developer platforms (e.g., ephemeral environments, dev containers, internal PaaS), with a point of view on the inner development loop. Track record of leading cross-team technical initiatives with measurable impact on developer velocity, CI reliability, pre-production stability, or feedback-loop time. Experience with cloud infrastructure (AWS preferred), containerization (Docker), and orchestration (ECS/Kubernetes or equivalent). Experience with large monorepos and the git infrastructure challenges that come with them. Strong technical leadership: driving direction, mentoring engineers, and influencing without direct authority. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Computer Engineering, or equivalent experience. Experience owning or evolving a developer environment platform used by a large engineering org. Experience stabilizing pre-production / staging environments at scale, including establishing service-owner accountability and SLAs. Experience with AI-powered developer tooling — AI code review, agentic coding workflows, or platforms that run async agentic work for engineers. Experience defining and instrumenting developer productivity metrics (CI failure rate, feedback-loop time, pre-production pass rate, local dev loop). Experience at high-growth companies operating developer infrastructure for large engineering organizations. #LI-Remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here . Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here . For Canadian based candidates, the base pay ranges for a successful candidate are listed below. CAN $229,000 — $241,000 CAD

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. OVERVIEW The Developer Experience team at Instacart is the force multiplier for our 1000+ engineers. We define and build the platforms, tools, and practices that enable Instacart engineers to ship high-quality software faster — from AI-powered code review to build infrastructure, developer onboarding, and local development environments. Our success is measured in developer velocity: how quickly an engineer can take an idea from concept to production. As a Staff Software Engineer on Developer Experience, you will lead the technical direction for the developer infrastructure that every Instacart engineer relies on. That spans local and remote development environments, CI pipelines and the feedback loop on every commit, pre-production environments that engineers and AI agents can trust, version-control infrastructure, and the AI-powered developer tooling woven through all of it. This is a hands-on technical leadership role. You'll write code, set architectural direction, and partner across the org to move engineering-wide metrics on developer velocity, CI reliability, and the time it takes to get a change safely into production. About the Job Lead the technical direction for Instacart's local and remote development environments, including ephemeral environments, image-based provisioning, health checks, and the developer-facing ergonomics of the inner development loop. Lead the technical direction for our CI pipeline infrastructure and the commit-to-feedback loop, CI reliability, failure diagnostics, flaky-test reduction, and shift-left validation. Own the architecture and evolution of our pre-production environments, including staging stability, service-owner accountability models, and environments that let engineers and AI agents validate changes end-to-end in parallel. Drive the reliability and resilience of our git infrastructure, git operations at monorepo scale, and implement disaster recovery plans. Advance AI-powered developer tooling across the workflow, AI-assisted code review, agentic development workflows, and the platforms that let engineers run many AI sessions in parallel with humans on the loop. Design and drive multi-quarter initiatives that measurably improve developer velocity, CI reliability, pre-production health, and the local development loop. Own the developer experience metrics for the systems you lead: define what "good" looks like, instrument it, and use the data to prioritize investment. Partner with infrastructure, platform, and product engineering teams to roll out platform changes with minimal disruption Set the technical bar for the systems you own on reliability, performance, upgrade cadence, and developer ergonomics. Mentor engineers in the team and the broader engineering org; grow the community of developer infrastructure experts at Instacart. Represent the team in cross-org technical discussions on local development experience, CI/CD, pre-production, and AI-augmented development. About You A hands-on technical leader who is equally comfortable in a CI pipeline definition, a design doc, a vision document, and a cross-org migration plan. Metrics-driven. You use build times, CI failure rates, pre-production pass rates, feedback-loop latency, and developer feedback to guide where to invest. A multiplier. You make the engineers around you more effective through mentorship, clear technical writing, and pragmatic guidance. Comfortable driving cross-team change. You can build consensus for a migration or a platform shift and see it through to adoption. Minimum Qualifications 10+ years of software development experience. Deep, hands-on experience operating CI/CD systems at scale (e.g., Buildkite, GitHub Actions, Jenkins, CircleCI), including pipeline design, reliability, and performance tuning for large engineering organizations. Experience building or operating local/remote development environments or developer platforms (e.g., ephemeral environments, dev containers, internal PaaS), with a point of view on the inner development loop. Track record of leading cross-team technical initiatives with measurable impact on developer velocity, CI reliability, pre-production stability, or feedback-loop time. Experience with cloud infrastructure (AWS preferred), containerization (Docker), and orchestration (ECS/Kubernetes or equivalent). Experience with large monorepos and the git infrastructure challenges that come with them. Strong technical leadership: driving direction, mentoring engineers, and influencing without direct authority. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Computer Engineering, or equivalent experience. Experience owning or evolving a developer environment platform used by a large engineering org. Experience stabilizing pre-production / staging environments at scale, including establishing service-owner accountability and SLAs. Experience with AI-powered developer tooling — AI code review, agentic coding workflows, or platforms that run async agentic work for engineers. Experience defining and instrumenting developer productivity metrics (CI failure rate, feedback-loop time, pre-production pass rate, local dev loop). Experience at high-growth companies operating developer infrastructure for large engineering organizations. #LI-Remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here . Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here . For Canadian based candidates, the base pay ranges for a successful candidate are listed below. CAN $229,000 — $241,000 CAD

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacart is the North American leader in online grocery, and we’re building the operating system for the grocery industry so people can access the food they love and more time to enjoy it together. We’re looking for an Engineering Manager to lead our Catalog Enrichment team. This team builds the AI-native platform and pipelines that create, enrich, and maintain product attributes across a catalog of tens of millions of products from more than 100,000 retailer locations. Catalog data is the foundation of our marketplace: when attributes are complete and accurate, search returns the right results, recommendations feel personal, and advertisers can target with confidence. In this role, you’ll lead a team of engineers building systems that blend large language models, classical inference, workflow orchestration, and human review into configurable pipelines that non-engineers can run. You’ll also own the ML-facing interfaces to catalog data, including policies that govern how attributes are sourced, shared, and licensed across downstream models and customer surfaces. You will partner closely with ML, product, operations, search, ads, and retailer teams to drive measurable impact across Instacart’s ecosystem. About the Job This is a fast-paced, highly cross-functional environment. You’ll thrive if you enjoy building platforms at scale, turning ambiguity into clarity, and mentoring engineers while rolling up your sleeves on hard technical problems. Lead, mentor, and grow a team of engineers who build the platform, pipelines, and interfaces that power catalog enrichment and ML access to catalog data. Define and execute the technical roadmap, balancing new platform investments with reliability, observability, and developer experience for a growing user base. Build and operate an AI-native enrichment platform that blends LLMs, classical ML, rules, workflow orchestration, and human review into pipelines non-engineers can configure and run. Drive the evolution toward autonomous pipeline construction, where users express goals in plain language and the system assembles, evaluates, and optimizes workflows. Own the ML-facing catalog data layer, including canonical product metadata and the policy controls that separate internal model inputs from customer-facing use cases. Partner with ML, search, ads, commerce, and retailer teams to streamline data flows end to end and remove integration friction. Advocate for clear, human-readable controls for source prioritization, rights management, licensing, and compliance to ensure auditable governance. Boost developer and operator productivity via AI-assisted integration testing, investigation tooling, and on-call automation; set and meet SLAs on core attributes and model usage. Contribute hands-on to architecture discussions, design reviews, and code reviews, especially in new or exploratory areas. About You Minimum Qualifications 7+ years of software engineering experience, including 2+ years managing engineers as a people leader. Experience leading teams that build and operate production data or ML platforms, including both batch and streaming components. Strong foundation in distributed systems, data pipelines, and workflow orchestration, with demonstrated build/buy/partner decision-making. Ownership of data quality, coverage, or compliance commitments, with examples of frameworks and processes used to meet them. Excellent written and verbal communication skills, including the ability to translate complex technical work for diverse audiences. Preferred Qualifications Experience with catalog, commerce, or product data platforms operating at large scale. Hands-on experience with workflow orchestration systems (e.g., Temporal, Airflow, Flink) and running them in production. Experience shipping applied AI/ML features in production and understanding trade-offs across LLMs, classical ML, deterministic rules, and human review. Proven success partnering across ML, product, and operations to deliver outcomes that require alignment and shared goals. Familiarity with data governance, rights management, and licensing controls in multi-stakeholder environments. Experience building pipeline builders, low-code/no-code tooling, or internal platforms used by non-engineers. Background in developer productivity tooling, including AI-assisted testing and investigation workflows. Success operating in fast-growing environments where both the platform and team are evolving. #LI-Remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here . Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here . For Canadian based candidates, the base pay ranges for a successful candidate are listed below. CAN $196,000 — $207,000 CAD

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacart is the North American leader in online grocery, and we’re building the operating system for the grocery industry so people can access the food they love and more time to enjoy it together. We’re looking for an Engineering Manager to lead our Catalog Enrichment team. This team builds the AI-native platform and pipelines that create, enrich, and maintain product attributes across a catalog of tens of millions of products from more than 100,000 retailer locations. Catalog data is the foundation of our marketplace: when attributes are complete and accurate, search returns the right results, recommendations feel personal, and advertisers can target with confidence. In this role, you’ll lead a team of engineers building systems that blend large language models, classical inference, workflow orchestration, and human review into configurable pipelines that non-engineers can run. You’ll also own the ML-facing interfaces to catalog data, including policies that govern how attributes are sourced, shared, and licensed across downstream models and customer surfaces. You will partner closely with ML, product, operations, search, ads, and retailer teams to drive measurable impact across Instacart’s ecosystem. About the Job This is a fast-paced, highly cross-functional environment. You’ll thrive if you enjoy building platforms at scale, turning ambiguity into clarity, and mentoring engineers while rolling up your sleeves on hard technical problems. Lead, mentor, and grow a team of engineers who build the platform, pipelines, and interfaces that power catalog enrichment and ML access to catalog data. Define and execute the technical roadmap, balancing new platform investments with reliability, observability, and developer experience for a growing user base. Build and operate an AI-native enrichment platform that blends LLMs, classical ML, rules, workflow orchestration, and human review into pipelines non-engineers can configure and run. Drive the evolution toward autonomous pipeline construction, where users express goals in plain language and the system assembles, evaluates, and optimizes workflows. Own the ML-facing catalog data layer, including canonical product metadata and the policy controls that separate internal model inputs from customer-facing use cases. Partner with ML, search, ads, commerce, and retailer teams to streamline data flows end to end and remove integration friction. Advocate for clear, human-readable controls for source prioritization, rights management, licensing, and compliance to ensure auditable governance. Boost developer and operator productivity via AI-assisted integration testing, investigation tooling, and on-call automation; set and meet SLAs on core attributes and model usage. Contribute hands-on to architecture discussions, design reviews, and code reviews, especially in new or exploratory areas. About You Minimum Qualifications 7+ years of software engineering experience, including 2+ years managing engineers as a people leader. Experience leading teams that build and operate production data or ML platforms, including both batch and streaming components. Strong foundation in distributed systems, data pipelines, and workflow orchestration, with demonstrated build/buy/partner decision-making. Ownership of data quality, coverage, or compliance commitments, with examples of frameworks and processes used to meet them. Excellent written and verbal communication skills, including the ability to translate complex technical work for diverse audiences. Preferred Qualifications Experience with catalog, commerce, or product data platforms operating at large scale. Hands-on experience with workflow orchestration systems (e.g., Temporal, Airflow, Flink) and running them in production. Experience shipping applied AI/ML features in production and understanding trade-offs across LLMs, classical ML, deterministic rules, and human review. Proven success partnering across ML, product, and operations to deliver outcomes that require alignment and shared goals. Familiarity with data governance, rights management, and licensing controls in multi-stakeholder environments. Experience building pipeline builders, low-code/no-code tooling, or internal platforms used by non-engineers. Background in developer productivity tooling, including AI-assisted testing and investigation workflows. Success operating in fast-growing environments where both the platform and team are evolving. #LI-Remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here . Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here . For Canadian based candidates, the base pay ranges for a successful candidate are listed below. CAN $196,000 — $207,000 CAD

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Carrot Ads is Instacart's publisher advertising platform and one of its fastest-growing businesses. We power ads for enterprise retail partners like Uber Eats, Hy-Vee, and Thrive Market on their own storefronts, spanning Storefront, Storefront Pro, and the Connect / Carrot Ads API. As the first vertical team inside a historically horizontal Ads org, our scope is unusually broad: we own the publisher customer end to end while building on top of shared serving, measurement, and quality systems. Retail media is consolidating, and Instacart is positioned to win on cross-retailer reach. Our goal is to become the premier grocery ads ecosystem for partners and advertisers — and getting there means turning an early externalization into an enterprise-grade platform that the world's most sophisticated retailers trust with their own storefronts. That is the problem you will help solve. As a Software Engineer II on Carrot Ads, you will independently build and ship features across the publisher-facing stack: the Connect / Carrot Ads API, publisher serving inputs, reporting, and the tooling partners use to run their ad businesses. You will write efficient, observable, well-tested code, own what you ship through production and on-call, and work as an away team into shared systems when a feature needs changes there. This is a high-visibility role inside one of Instacart's top growth areas, with real opportunity to own meaningful surfaces early in your career here. About the Job Build and ship publisher-facing features end to end across Storefront, Storefront Pro, and API partners — including API endpoints, serving inputs, reporting views, and configuration tooling that partners depend on daily. Extend the Connect / Carrot Ads API with clear contracts, robust event handling and dead-letter recovery, integration tests, and self-serve documentation that makes partner onboarding faster and more reliable. Build the retailer control surface: relevance and quality-score inputs, reserve pricing, ad-load controls, and the trade-off signals retailers use to tune performance on their own sites. Strengthen reporting and data integrity across partner systems — including attribution, catalog and product-ID mapping, reconciliation, and automated health checks that keep partner data trustworthy. Raise reliability by helping define and meet partner SLAs, improving observability, reducing incident frequency and time to recovery, and contributing to a unified partner-health monitoring layer. Debug partner-facing serving and reporting issues, tracing root causes across shared serving, measurement, and quality systems. Collaborate across Product, Enterprise Solutions, and the horizontal Ads teams — including Serving, Measurement, Ads Quality, and Ads Manager — to land work that spans multiple stacks. Use AI-assisted developer tools to move faster without lowering the bar on quality or security. About You You work well in ambiguity, like owning features end to end, and want the surface area of a fast-growing business alongside the depth of hard systems problems. Minimum Qualifications 3+ years of experience building and operating production backend services. Strong API design and distributed-systems fundamentals, with fluency in a backend language such as Go, Ruby, or Python. Demonstrated track record of shipping features end to end with solid testing, observability, and operational ownership. Experience debugging across service boundaries and collaborating across cross-functional teams. Bachelor's degree in Computer Science or a related field, or equivalent practical experience. Preferred Qualifications Experience in ad tech, retail media, or other publisher- or partner-facing platforms. Familiarity with event streaming and reliability patterns at scale (e.g., Kafka, dead-letter queues, idempotent processing). Cloud infrastructure experience with AWS or GCP, including data or measurement-adjacent systems. Experience with data reconciliation, attribution, or catalog and entity mapping. Experience building partner- or customer-facing APIs, including documentation, error contracts, and integration test coverage. #LI-Remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here . Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here . For Canadian based candidates, the base pay ranges for a successful candidate are listed below. CAN $145,000 — $153,000 CAD

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Carrot Ads is Instacart's publisher advertising platform and one of its fastest-growing businesses. We power ads for enterprise retail partners like Uber Eats, Hy-Vee, and Thrive Market on their own storefronts, spanning Storefront, Storefront Pro, and the Connect / Carrot Ads API. As the first vertical team inside a historically horizontal Ads org, our scope is unusually broad: we own the publisher customer end to end while building on top of shared serving, measurement, and quality systems. Retail media is consolidating, and Instacart is positioned to win on cross-retailer reach. Our goal is to become the premier grocery ads ecosystem for partners and advertisers — and getting there means turning an early externalization into an enterprise-grade platform that the world's most sophisticated retailers trust with their own storefronts. That is the problem you will help solve. As a Software Engineer II on Carrot Ads, you will independently build and ship features across the publisher-facing stack: the Connect / Carrot Ads API, publisher serving inputs, reporting, and the tooling partners use to run their ad businesses. You will write efficient, observable, well-tested code, own what you ship through production and on-call, and work as an away team into shared systems when a feature needs changes there. This is a high-visibility role inside one of Instacart's top growth areas, with real opportunity to own meaningful surfaces early in your career here. About the Job Build and ship publisher-facing features end to end across Storefront, Storefront Pro, and API partners — including API endpoints, serving inputs, reporting views, and configuration tooling that partners depend on daily. Extend the Connect / Carrot Ads API with clear contracts, robust event handling and dead-letter recovery, integration tests, and self-serve documentation that makes partner onboarding faster and more reliable. Build the retailer control surface: relevance and quality-score inputs, reserve pricing, ad-load controls, and the trade-off signals retailers use to tune performance on their own sites. Strengthen reporting and data integrity across partner systems — including attribution, catalog and product-ID mapping, reconciliation, and automated health checks that keep partner data trustworthy. Raise reliability by helping define and meet partner SLAs, improving observability, reducing incident frequency and time to recovery, and contributing to a unified partner-health monitoring layer. Debug partner-facing serving and reporting issues, tracing root causes across shared serving, measurement, and quality systems. Collaborate across Product, Enterprise Solutions, and the horizontal Ads teams — including Serving, Measurement, Ads Quality, and Ads Manager — to land work that spans multiple stacks. Use AI-assisted developer tools to move faster without lowering the bar on quality or security. About You You work well in ambiguity, like owning features end to end, and want the surface area of a fast-growing business alongside the depth of hard systems problems. Minimum Qualifications 3+ years of experience building and operating production backend services. Strong API design and distributed-systems fundamentals, with fluency in a backend language such as Go, Ruby, or Python. Demonstrated track record of shipping features end to end with solid testing, observability, and operational ownership. Experience debugging across service boundaries and collaborating across cross-functional teams. Bachelor's degree in Computer Science or a related field, or equivalent practical experience. Preferred Qualifications Experience in ad tech, retail media, or other publisher- or partner-facing platforms. Familiarity with event streaming and reliability patterns at scale (e.g., Kafka, dead-letter queues, idempotent processing). Cloud infrastructure experience with AWS or GCP, including data or measurement-adjacent systems. Experience with data reconciliation, attribution, or catalog and entity mapping. Experience building partner- or customer-facing APIs, including documentation, error contracts, and integration test coverage. #LI-Remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here . Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here . For Canadian based candidates, the base pay ranges for a successful candidate are listed below. CAN $145,000 — $153,000 CAD

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Join Instacart's mission to transform grocery shopping through frontier AI. As a Senior Software Engineer on AI Labs & Foundations, you will design, build, and operate the high-scale production systems that power our most ambitious AI experiences—from Cart Assistant, our conversational shopping agent, to voice AI interactions and beyond. This is a high-impact opportunity to work at the intersection of robust software engineering and cutting-edge production AI/ML, directly shaping products used by millions of customers every day. We are hiring a Senior Software Engineer who will participate in the design and delivery of production AI systems, identify high-leverage technical opportunities, and contribute hands-on to AI-native products across Instacart's platform. We value bottom-up ideas, high engineering quality, and close partnership with Product, Data Science, ML, and Infrastructure teams. If you enjoy inventing, navigating ambiguity, prototyping fast, and turning wild ideas into real, scalable products, this is the team for you. AI Labs & Foundations sits at the intersection of frontier AI research and production engineering. Our portfolio spans the full stack of AI innovation at Instacart, including building and launching Cart Assistant, pioneering voice AI interactions, and constructing the foundational systems that power these cutting-edge experiences. We are a fast-moving, collaborative team that thrives on 0-to-1 thinking, shares learnings openly, and ships with urgency by prototyping fast and testing rigorously. About the Job Design, build, and operate production AI-powered systems and agentic experiences (including Cart Assistant and voice AI) that directly impact how millions of customers shop. Build foundational systems for cutting-edge AI experiences, ranging from embedding infrastructure and voice AI pipelines, to client facing components and integrations, by prototyping bold ideas and productizing what works. Integrate foundation models via APIs and open-source frameworks; apply techniques like retrieval-augmented generation and vector search where appropriate. Own projects end-to-end: requirements, technical design, implementation, testing, deployment, observability, and iterative improvement focused on reliability, latency, and cost efficiency. Collaborate with cross-functional partners in product, design, data science, and infrastructure to ship AI features end-to-end. Drive engineering excellence, including thoughtful system design, rigorous code review, and technical leadership that includes defining and promoting best practices for AI/ML production engineering across the team. About You Minimum Qualifications: Proven senior software engineer who has built, shipped, and operated production systems at scale. You make architectural calls, own what you build, and deliver through ambiguity. Hands-on experience with AI or ML in production. You've shipped LLM-powered features or integrated foundation model APIs into a live product, demonstrating the necessary expertise at the intersection of robust software engineering and deep production ML. Experience owning services end-to-end, including CI/CD, automated testing, observability (logging, metrics, tracing), and on-call participation. Strong communicator who partners well across disciplines - you want to get to the right answer, not just defend the first one. Golang, Python, or Typescript language experience Excitement and ability to leverage cutting-edge development tools, including AI assistance (e.g., Copilot, Cursor, Claude), to maximize velocity. Preferred Qualifications: 5 to 8+ years of industry experience. A track record of 0-to-1 work taking unconventional ideas from prototype through rapid iteration to production. Experience building conversational agents, multi-turn dialogue systems, or agentic LLM applications. Experience with STT/TTS or natural language interfaces, LLM fine tuning, ML transfer learning, model training and the vocabulary of measurement of model performance. Experience with embedding systems, vector search, or retrieval-augmented generation (RAG) with vector databases (e.g., Pinecone, Weaviate, FAISS, or Elasticsearch). Experience with cloud platforms (AWS or GCP), containers (Docker), and orchestration (Kubernetes). Experience with event-driven or distributed systems (e.g., Kafka). Demonstrated mentorship and technical leadership within cross-functional teams. #LI-Remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here . Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please rea d more about our benefits offerings here . For US based candidates, the base pay ranges for a successful candidate are listed below. CA, NY, CT, NJ $230,000 — $242,500 USD WA $220,000 — $232,000 USD OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI $211,000 — $222,500 USD All other states $192,000 — $202,500 USD

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview The Marketing Enablement & Technology (MET) team sits within Instacart's Marketing organization, building the systems, APIs, and data pipelines powering Instacart's Paid Marketing channels—one of our most substantial growth levers. Operating at the intersection of Marketing, Product, and Engineering, we own the platforms behind campaign feeds, audience targeting, event pipelines, and QA automation. We're seeking a Senior Software Engineer to provide technical leadership for the Paid MarTech pod—driving the team's technical roadmap, making key architectural decisions for reusability and scalability, and enhancing team productivity through process evolution and tooling improvements. You'll lead cross-team initiatives, partner directly with senior Product and Marketing leaders on strategic decisions, and serve as a domain expert for marketing technology across the organization. About the Job Drive the team's technical roadmap and architectural decisions, balancing short and long-term investments to build reusable, scalable systems that serve current and future marketing needs. Enhance developer productivity by evolving processes, tools, and abstractions that improve team efficiency, system extensibility, and code quality across the codebase. Lead team-wide initiatives and propose strategic work on behalf of engineering management, partnering directly with senior Product and Marketing leaders on product design and technical decisions. Champion advanced observability, resilience (including chaos engineering and disaster recovery), cost optimization, and security-by-design principles across all team projects. Mentor engineers up to L5, act as a force multiplier through well-documented processes, and proactively resolve conflicts that block execution across teams. About You Minimum Qualifications 8–12 years of software engineering experience with demonstrated expertise leading technical roadmaps and making architectural decisions that impact team-level systems. Expert-level proficiency in Python with proven ability to design and implement reusable abstractions, frameworks, and patterns adopted across multiple projects. Deep technical knowledge of building scalable, high-throughput systems with comprehensive observability, cost efficiency, and security considerations. Demonstrated ability to partner with senior Product and Marketing leaders, significantly influencing product roadmap through identification of strategic technical opportunities. Proven track record of enhancing team productivity through process improvements, tooling development, and mentorship of senior engineers. Excellent communication and influence skills with ability to drive execution of cross-team and cross-functional initiatives while navigating organizational context and dependencies. Preferred Qualifications Experience defining and establishing infrastructure, tooling, and best practices for AI-assisted development across engineering teams. Deep expertise in ad tech platforms and marketing technology ecosystems, recognized as a domain expert within the organization. Track record of leading large-scale legacy system modernization efforts and strategically managing technical debt at team level. Experience establishing coding standards, architectural patterns, and technical review processes that elevate team quality. Demonstrated ability to proactively contribute during crises outside core technical expertise, serving as technical consultant for sub-pillar level initiatives. Experience collaborating with external teams on cross-pillar partnerships and acting as point of contact for technical collaboration. #LI-Remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here . Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here . For Canadian based candidates, the base pay ranges for a successful candidate are listed below. CAN $196,000 — $207,000 CAD