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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 Advertiser Optimization team is the decision-making engine of Instacart's $1B+ ads business. We own the systems responsible for Bidding, Pacing, Budgeting, Targeting and advertiser-facing recommendations - converting stated advertiser goals into real-time auction actions. Our mission is to maximize realized Advertiser Value by deciding when to participate, how much to bid, and how fast to spend, all while carefully balancing User Experience and Platform Revenue. We are looking for a Software Engineer II with a strong quantitative background to join our Toronto-based team. In this role, you will apply your expertise in mathematics, statistics, economics, or a related field to help build and refine the algorithmic systems that power how Instacart's advertising marketplace operates. You'll work alongside a talented team of scientists and engineers, contributing to production systems that have real, measurable impact on a scaled ads platform. If you're excited by the intersection of rigorous quantitative thinking and large-scale engineering, this is the role for you. About the Job Develop and evaluate models and algorithms for ads bidding, pacing, and budgeting, applying your training in mathematics, statistics, economics, or a related quantitative discipline to solve complex marketplace problems at scale. Collaborate closely with senior scientists, engineers and product managers to translate well-defined marketplace questions into mathematical formulations, implement analyses and prototypes, design experiments, and interpret results using large-scale data. Contribute to production systems through algorithm implementation, validation, and monitoring, progressively taking ownership of well-scoped projects from initial hypothesis through measurable impact. Operate in a fast-paced, constantly evolving environment where the ads marketplace shifts quickly — you'll need to balance rigor with speed, and thrive when priorities change and new challenges emerge. Communicate assumptions, findings, and limitations clearly to both technical and cross-functional partners, helping the team make better decisions through transparency and analytical clarity. About You Minimum Qualifications PhD in mathematics, statistics, economics, operations research, or a related quantitative discipline, with a strong foundation in at least one of the following areas: optimization, probability, statistical modeling, econometrics, or control theory. Proficiency in Python and SQL, with demonstrated ability to translate quantitative concepts into analyses, algorithm implementations, and experiments. Strong analytical and communication skills, including the ability to explain assumptions, methodologies, results, and limitations to both technical and cross-functional audiences. Preferred Qualifications 2+ years of software engineering experience, particularly in applying quantitative methods to production systems. Familiarity with ads systems, auction theory, or related marketplace optimization problems. Experience working with large-scale data pipelines and real-time decision systems. Familiarity with machine learning techniques and applying machine learning in production systems. #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 The Fulfillment Services team at Instacart is at the heart of building the picking technology platform that powers the fulfillment needs of the world's largest retailers and millions of customers. Our work directly shapes how shoppers experience their day-to-day work and how customers receive the quality orders they expect — and we're just getting started. We are looking for a Senior Engineering Manager to lead the Core Picking engineering team. As a Senior Engineering Manager for the Core Picking team at Instacart, you will lead the engineering team responsible for our core shopper picking experiences, supporting our mission to build the picking technology platform required to meet the fulfillment needs of the world's largest retailers and millions of customers. You will provide leadership in driving the stability, scalability, and extensibility of engineering systems that advance the shopper app’s picking experience. You will interface with engineering and product leaders across the company, as well as retailer leadership, to collaborate on facilitating new and innovative grocery picking solutions. As the leader of this team, you will develop Instacart's picking technology and provide shoppers with tools to work more efficiently in delivering quality orders for our customers. This is a high-impact leadership role where you will own the technical direction for a team of 10+ engineers, set the bar for enterprise-grade engineering quality, and help shape the future of how the world's largest retailers fulfill grocery orders. If you thrive in a fast-moving environment where the problems are complex, the stakes are high, and the opportunity to make a real difference is enormous, this role is for you. About the Job Define, communicate, and drive the technical vision and strategy for the team that supports the product strategy and key bets for the company, including new technical investments. Drive high-quality execution of key business outcomes of the team by overseeing the roadmap and enabling technical and product decisions. Create best practices for production services, ensuring an exemplary enterprise-grade experience for retailers. Lead, coach, and develop a team of 10+ engineers building the best in-class picking experience for retailers and shoppers. Lead the recruitment and hiring processes to build a high-performing team. About You Minimum Qualifications Proven track record as a hands-on technical leader, preferably at a Staff+ level in a similar industry. 10+ years of professional software engineering experience, including 4+ years managing engineers, with a track record leading teams of 15+ and delivering complex consumer or enterprise facing products. Ability to craft and execute strategic engineering roadmaps that align with business objectives. Highly structured and proactive communication capabilities. Experience in staffing, mentoring, and leading engineering teams to success. Effective cross-functional leadership. Experience working with product managers, EM peers, and senior ICs. Preferred Qualifications Experience leading multiple teams or managing managers, including scaling a team from early stages to 10+ engineers. Prior experience in managing engineering teams that oversee mission critical business systems. Experience building enterprise-grade software systems. Technical depth with Ruby on Rails, Go, Swift and/or Kotlin #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 — $241,500 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 Fulfillment Services team at Instacart is at the heart of building the picking technology platform that powers the fulfillment needs of the world's largest retailers and millions of customers. Our work directly shapes how shoppers experience their day-to-day work and how customers receive the quality orders they expect — and we're just getting started. We are looking for a Senior Engineering Manager to lead the Core Picking engineering team. As a Senior Engineering Manager for the Core Picking team at Instacart, you will lead the engineering team responsible for our core shopper picking experiences, supporting our mission to build the picking technology platform required to meet the fulfillment needs of the world's largest retailers and millions of customers. You will provide leadership in driving the stability, scalability, and extensibility of engineering systems that advance the shopper app’s picking experience. You will interface with engineering and product leaders across the company, as well as retailer leadership, to collaborate on facilitating new and innovative grocery picking solutions. As the leader of this team, you will develop Instacart's picking technology and provide shoppers with tools to work more efficiently in delivering quality orders for our customers. This is a high-impact leadership role where you will own the technical direction for a team of 10+ engineers, set the bar for enterprise-grade engineering quality, and help shape the future of how the world's largest retailers fulfill grocery orders. If you thrive in a fast-moving environment where the problems are complex, the stakes are high, and the opportunity to make a real difference is enormous, this role is for you. About the Job Define, communicate, and drive the technical vision and strategy for the team that supports the product strategy and key bets for the company, including new technical investments. Drive high-quality execution of key business outcomes of the team by overseeing the roadmap and enabling technical and product decisions. Create best practices for production services, ensuring an exemplary enterprise-grade experience for retailers. Lead, coach, and develop a team of 10+ engineers building the best in-class picking experience for retailers and shoppers. Lead the recruitment and hiring processes to build a high-performing team. About You Minimum Qualifications Proven track record as a hands-on technical leader, preferably at a Staff+ level in a similar industry. 10+ years of professional software engineering experience, including 4+ years managing engineers, with a track record leading teams of 15+ and delivering complex consumer or enterprise facing products. Ability to craft and execute strategic engineering roadmaps that align with business objectives. Highly structured and proactive communication capabilities. Experience in staffing, mentoring, and leading engineering teams to success. Effective cross-functional leadership. Experience working with product managers, EM peers, and senior ICs. Preferred Qualifications Experience leading multiple teams or managing managers, including scaling a team from early stages to 10+ engineers. Prior experience in managing engineering teams that oversee mission critical business systems. Experience building enterprise-grade software systems. Technical depth with Ruby on Rails, Go, Swift and/or Kotlin #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 — $241,500 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 Fulfillment Services team at Instacart is at the heart of building the picking technology platform that powers the fulfillment needs of the world's largest retailers and millions of customers. Our work directly shapes how shoppers experience their day-to-day work and how customers receive the quality orders they expect — and we're just getting started. We are looking for a Senior Engineering Manager to lead the Core Picking engineering team. As a Senior Engineering Manager for the Core Picking team at Instacart, you will lead the engineering team responsible for our core shopper picking experiences, supporting our mission to build the picking technology platform required to meet the fulfillment needs of the world's largest retailers and millions of customers. You will provide leadership in driving the stability, scalability, and extensibility of engineering systems that advance the shopper app’s picking experience. You will interface with engineering and product leaders across the company, as well as retailer leadership, to collaborate on facilitating new and innovative grocery picking solutions. As the leader of this team, you will develop Instacart's picking technology and provide shoppers with tools to work more efficiently in delivering quality orders for our customers. This is a high-impact leadership role where you will own the technical direction for a team of 10+ engineers, set the bar for enterprise-grade engineering quality, and help shape the future of how the world's largest retailers fulfill grocery orders. If you thrive in a fast-moving environment where the problems are complex, the stakes are high, and the opportunity to make a real difference is enormous, this role is for you. About the Job Define, communicate, and drive the technical vision and strategy for the team that supports the product strategy and key bets for the company, including new technical investments. Drive high-quality execution of key business outcomes of the team by overseeing the roadmap and enabling technical and product decisions. Create best practices for production services, ensuring an exemplary enterprise-grade experience for retailers. Lead, coach, and develop a team of 10+ engineers building the best in-class picking experience for retailers and shoppers. Lead the recruitment and hiring processes to build a high-performing team. About You Minimum Qualifications Proven track record as a hands-on technical leader, preferably at a Staff+ level in a similar industry. 10+ years of professional software engineering experience, including 4+ years managing engineers, with a track record leading teams of 15+ and delivering complex consumer or enterprise facing products. Ability to craft and execute strategic engineering roadmaps that align with business objectives. Highly structured and proactive communication capabilities. Experience in staffing, mentoring, and leading engineering teams to success. Effective cross-functional leadership. Experience working with product managers, EM peers, and senior ICs. Preferred Qualifications Experience leading multiple teams or managing managers, including scaling a team from early stages to 10+ engineers. Prior experience in managing engineering teams that oversee mission critical business systems. Experience building enterprise-grade software systems. Technical depth with Ruby on Rails, Go, Swift and/or Kotlin #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 $265,000 — $279,500 USD WA $254,000 — $268,000 USD OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI $243,000 — $256,500 USD All other states $221,000 — $233,000 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 Instacart is the North American leader in online grocery, and behind every seamless customer experience is a world-class engineering organization building the systems that make it all possible. The Developer Experience team sits at the heart of that engineering organization, focused on empowering engineers across Instacart to do their best work — faster, more reliably, and with less friction. As a Senior Software Engineer II on the Developer Experience team, you will play a critical role in shaping the internal tooling, infrastructure, and platforms that Instacart engineers depend on every day. This is a high-impact, high-ownership role for an engineer who is energized by building for other builders — someone who understands that improving developer productivity at scale can have an outsized effect on what the entire company is able to ship. About the Job Design, build, and maintain internal developer tooling, platforms, and infrastructure that improve the productivity, reliability, and experience of engineering teams across Instacart. Own complex technical initiatives end-to-end, from scoping and architecture through implementation, rollout, and iteration — operating with a high degree of autonomy and accountability. Identify friction points in the developer experience through data, feedback, and direct collaboration with engineering teams, and drive solutions that meaningfully reduce toil and improve velocity at scale. Contribute to the technical direction of the team, participating in design reviews, code reviews, and architectural discussions that shape how Instacart builds and scales its internal platforms. Thrive in a fast-moving, ambiguous environment where priorities can shift and where your ability to adapt quickly and make sound technical decisions under uncertainty is a genuine asset. About You Minimum Qualifications 8+ years of professional software engineering experience, with a strong track record of delivering complex technical systems in production environments. Proficiency in one or more backend languages commonly used in platform or infrastructure contexts (e.g., Go, Ruby, Python, Java, or similar). Golang, Python, or Typescript language experience Experience building or contributing to developer tooling, internal platforms, CI/CD systems, or developer productivity infrastructure. Demonstrated ability to lead technical projects independently, including scoping, designing, and delivering solutions with cross-functional impact. Strong communication skills with the ability to collaborate effectively across engineering teams and articulate technical trade-offs clearly. Preferred Qualifications Experience working on a Developer Experience, Platform Engineering, or Infrastructure team with a focus on improving engineering workflows at scale. Familiarity with observability tooling, build systems, or developer environment management (e.g., Bazel, Docker, Kubernetes, or similar). Experience in a high-growth technology company where the pace of change is fast and the scope of technical challenges is broad. A track record of influencing engineering culture or best practices beyond your immediate team. #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 behind every seamless customer experience is a world-class engineering organization building the systems that make it all possible. The Developer Experience team sits at the heart of that engineering organization, focused on empowering engineers across Instacart to do their best work — faster, more reliably, and with less friction. As a Senior Software Engineer II on the Developer Experience team, you will play a critical role in shaping the internal tooling, infrastructure, and platforms that Instacart engineers depend on every day. This is a high-impact, high-ownership role for an engineer who is energized by building for other builders — someone who understands that improving developer productivity at scale can have an outsized effect on what the entire company is able to ship. About the Job Design, build, and maintain internal developer tooling, platforms, and infrastructure that improve the productivity, reliability, and experience of engineering teams across Instacart. Own complex technical initiatives end-to-end, from scoping and architecture through implementation, rollout, and iteration — operating with a high degree of autonomy and accountability. Identify friction points in the developer experience through data, feedback, and direct collaboration with engineering teams, and drive solutions that meaningfully reduce toil and improve velocity at scale. Contribute to the technical direction of the team, participating in design reviews, code reviews, and architectural discussions that shape how Instacart builds and scales its internal platforms. Thrive in a fast-moving, ambiguous environment where priorities can shift and where your ability to adapt quickly and make sound technical decisions under uncertainty is a genuine asset. About You Minimum Qualifications 8+ years of professional software engineering experience, with a strong track record of delivering complex technical systems in production environments. Proficiency in one or more backend languages commonly used in platform or infrastructure contexts (e.g., Go, Ruby, Python, Java, or similar). Golang, Python, or Typescript language experience Experience building or contributing to developer tooling, internal platforms, CI/CD systems, or developer productivity infrastructure. Demonstrated ability to lead technical projects independently, including scoping, designing, and delivering solutions with cross-functional impact. Strong communication skills with the ability to collaborate effectively across engineering teams and articulate technical trade-offs clearly. Preferred Qualifications Experience working on a Developer Experience, Platform Engineering, or Infrastructure team with a focus on improving engineering workflows at scale. Familiarity with observability tooling, build systems, or developer environment management (e.g., Bazel, Docker, Kubernetes, or similar). Experience in a high-growth technology company where the pace of change is fast and the scope of technical challenges is broad. A track record of influencing engineering culture or best practices beyond your immediate team. #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 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 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