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Robinhood
Actively Hiring108 open positions matching criteria
Staff Machine Learning Engineer, AI R&D
ENG Data and AI Platform Division
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. ABOUT THE TEAM + ROLE We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The AI R&D team is at the core of Robinhood's product intelligence. Our mission is to build and scale high-impact models that power personalization, search, social feeds, fraud detection, and risk management for millions of Robinhood users. We operate as a cross-functional partner to growth, product, and data engineering—translating complex financial data into intelligent systems that make Robinhood smarter for every customer. We move fast, raise the bar, and care deeply about building things that matter. If you've ever wanted to solve personalization problems no one else has cracked—in one of the most data-rich, regulated industries on the planet—this is the team for you! As a Staff Machine Learning Engineer on the AI R&D team, you will own the design and delivery of sophisticated personalization and recommendation systems that directly shape what millions of users see and do on the Robinhood platform. You'll be a technical anchor on a growing, high-caliber team — collaborating with product, data engineering, and fellow ML engineers to take ambitious ideas from zero to one and into production at scale. You'll help define the team's technical direction, mentor engineers, and push the frontier of what's possible when you apply modern ML — including agentic workflows and LLM fine-tuning — to real financial data. This role offers a rare combination of technical depth, product impact, and the satisfaction of building systems that genuinely don't exist anywhere else. This role is based in our Menlo Park, CA and Bellevue, WA offices, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. WHAT YOU'LL DO Design, build, and ship end-to-end personalization, ranking, and recommendation systems that power core Robinhood products including growth, social feeds, and search — handling the full ML lifecycle from feature engineering through model deployment and monitoring. Partner closely with product, data engineering, and platform teams to define technical strategy, scope complex projects, and drive execution across multiple workstreams simultaneously. Lead zero-to-one development of new ML capabilities — prototyping, iterating, and scaling models in a high-stakes fintech environment where data quality and regulatory constraints are first-class concerns. Evaluate, experiment with, and integrate modern AI paradigms including agentic workflows and LLM fine-tuning into existing ML systems, pushing the team's technical capabilities forward. Set the technical bar through architecture reviews, code reviews, and mentorship — helping to elevate the craft and velocity of the broader AI R&D team. WHAT YOU BRING 10+ years of experience as a Machine Learning Engineer, with a strong foundation in ML fundamentals (ranking, recommendation systems, deep learning, optimization) and a track record of shipping models to production at scale. Demonstrated expertise in personalization and recommendation systems — specifically, experience owning these systems end-to-end in a high-traffic, data-rich environment (fintech, e-commerce, social, or equivalent). Proven ability to deliver projects from zero to one: you've taken ambiguous, high-impact problems and built production-grade solutions with measurable results. Exposure to or hands-on experience with agentic systems, LLM fine-tuning, or other modern AI paradigms — and the technical judgment to know when (and when not) to apply them. A Master's degree in Computer Science, Statistics, or a related technical field, or equivalent professional experience; strong coding skills in Python and familiarity with ML infrastructure tooling. WHAT WE OFFER Challenging, high-impact work to grow your career Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more Employer-paid life & disability insurance, fertility benefits, and mental health benefits Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $255,000 — $300,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $225,000 — $264,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $199,000 — $234,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
View more...Staff Software Engineer, DevX (Developer Infrastructure)
ENG Data and AI Platform Division
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The DevX team's mission is to build and operate the core developer infrastructure at Robinhood. Our team owns and scales the systems that thousands of engineers rely on daily, partnering with software developers across the company to make development fast, reliable, and cost-efficient. We are a team that takes pride in technical excellence, platform reliability, and building tools that have an outsized impact on engineering velocity across the entire organization! As a Staff Software Engineer on the DevX team, you will serve as a technical leader for our build and developer infrastructure, driving the strategy and execution of the systems thousands of engineers depend on every day. Your work will span our build systems, CI pipelines, and remote development environments, ensuring engineers can code, test, and build with speed, safety, and reliability at scale. You will collaborate with engineering teams across Robinhood to eliminate developer friction, raise the bar for engineering productivity, and shape the long-term direction of our developer ecosystem. This is a high-visibility opportunity to set new standards of engineering efficiency and mentor the next generation of infrastructure engineers. This role is based in our New York City, NY office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Architect the long-term technical strategy and roadmap for core developer infrastructure, including CI, SCM, and development environments, ensuring systems scale reliably as engineering teams grow Build and maintain robust, scalable infrastructure capable of handling increasing operational loads with a relentless focus on speed, safety, and reliability Lead the strategy for developer onboarding and remote development environments, reducing time-to-first-commit and making it effortless for engineers to be productive from day one Collaborate with engineering teams to standardize build and CI patterns, eliminate developer friction, and champion high engineering standards across the organization Provide technical mentorship to engineers across the team, conducting rigorous design reviews and establishing best-practice operational guidelines What you bring Extensive experience designing, scaling, and operating critical developer infrastructure or high-volume build and CI systems in production environments Deep expertise in modern build systems such as Bazel and distributed or remote build execution, with a strong understanding of CI/CD at scale Strong programming proficiency in Go or Python, with a track record of building reliable, maintainable system software Proven ability to guide complex technical initiatives from conception to completion, aligning technical execution with company-wide objectives Strong communication and collaboration skills to advocate for build and CI tooling adoption, drive onboarding improvements, and mentor other engineers What we offer Challenging, high-impact work to grow your career. Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching. Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents. Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more. Employer-paid life & disability insurance, fertility benefits, and mental health benefits. Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $230,000 — $270,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $203,000 — $238,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $180,000 — $211,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
View more...Senior Software Engineer, Cloud Networking
ENG Infrastructure
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Cloud Networking team’s mission is to build scalable, secure, and reliable networking infrastructure that powers communication across all Robinhood services. We enable our engineering teams to build and operate microservices seamlessly by providing foundational networking capabilities that are resilient and transparent. We’re looking for a Senior Software Engineer to design, build, and evolve our foundational platform for large-scale services—focusing on AWS, Kubernetes (K8s) on Amazon EKS, modern networking, and a robust Istio service mesh to deliver secure, reliable, and performant systems. This role is part of the Network Service Discovery and Communication (SDC) team, responsible for service discovery, traffic management, and resilient service-to-service communication across our platform. This role is based in our Bellevue office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Lead technical strategy and execution for platform networking, traffic management, and service-to-service communication across multi-tenant/multi-cluster EKS environments. Design and operate resilient service mesh topologies with Istio, including mTLS, traffic policies, ingress/egress, rate limiting, and observability, with Envoy-based extensions where appropriate. Define and implement platform standards for HTTP/REST and gRPC APIs, including versioning, contract governance, and performance/SLO baselines. Build automation, tooling, and paved roads in Python and Go (Golang) to improve developer productivity, operational safety, and release velocity. Create and maintain Terraform-based Infrastructure as Code (IaC) modules, pipelines, and guardrails for secure, auditable, and scalable infrastructure changes. Partner with security, networking, and application teams to drive end-to-end solutions for identity, encryption, zero-downtime migrations, and incident readiness. Provide technical leadership: drive roadmaps, set success metrics, de-risk complex projects, communicate tradeoffs, and mentor senior engineers. What you bring Experience with AWS network communication fundamentals (VPCs, subnets, routing, security groups, NLB/ALB, PrivateLink, NAT, DNS). Strong understanding of Kubernetes (K8s) and AWS EKS operations at scale (cluster lifecycle, node pools, autoscaling, admission control, CRDs). Strong understanding of HTTP/REST and gRPC protocol fundamentals, including performance, reliability, and backward compatibility. Strong understanding of Istio service mesh; Envoy experience is a strong plus. Exceptional traffic communication troubleshooting skills across L3–L7, including packet capture/analysis, Envoy/Istio telemetry, and debugging DNS/TLS/MTLS and routing policies. Strong scripting/programming skills in Python and Golang. Experience with Terraform and Infrastructure as Code (IaC) best practices. Strong leadership skills to lead projects end-to-end: planning, execution, stakeholder alignment, and presentation/communication. What we offer Challenging, high-impact work to grow your career Performance driven compensation with multipliers for outsized impact, bonus programs, and equity ownership Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs Lifestyle wallet - a highly flexible employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more. Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. Monthly commuter stipend to help offset in-office commuting costs In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $196,000 — $230,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
View more...Staff Data Scientist (People Analytics & Insights)
ENG Data Science
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Talent Management & Analytics team is scaling to its next major milestone—integrating advanced predictive insights and tactical AI into our workforce systems. Our mission is to build the data solutions that help the entire company recruit exceptional talent, design high-performing team structures, and put active organizational insights directly into the hands of everyone making team decisions. Operating at the intersection of data science, product development, and organizational psychology, we are transforming how Robinhood uses data to empower our workforce and anticipate organizational needs. As a Staff Data Scientist, you will serve as the team's technical and strategic anchor, owning the vision, design, and delivery of the high-impact data products that our executives, people partners, and line managers rely on every day. Your focus will be entirely on solving meaningful organizational problems: understanding what enables exceptional talent to thrive, accelerating team performance, and designing proactive strategies that support long-term retention across Robinhood. This is a unique opportunity to apply state-of-the-art language models and predictive analytics to solve critical talent problems! This role is based in our Menlo Park, CA, Chicago, IL, and New York, NY offices, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Spearhead the next phase of talent intelligence: Take the team beyond descriptive reporting and build the predictive frameworks that show not just what is happening in our workforce, but what will happen next. Architect a unified workforce data model: Pipeline data across disparate recruiting systems, performance cycles, surveys, and internal tools into a single, cohesive data model that maps the entire employee lifecycle; use AI-native workflows aggressively to parse unstructured text like exit notes and survey feedback at scale. Define the metrics dictionary and semantic layer: Standardize how metrics like headcount, attrition, and workforce trends are measured across the company; build the semantic layers that keep this data consistent and trustworthy at scale. Drive data access control and governance: Build the frameworks for role-based access controls and data masking so HR, Finance, and line managers have exactly the access they need without risking sensitive personnel data. Redesign employee sentiment architecture: Replace traditional annual survey cycles with a continuous, always-on listening framework that captures real-time organizational health and highlights leading risk indicators. Own product delivery: Act as the technical product owner for internal data interfaces—collaborating directly with Enterprise Engineering to ensure exceptional user utility, predictive accuracy, and data reliability. Enforce rigorous statistical standards: Apply experimental design, A/B testing, and psychometric methodologies to ensure our predictive workforce models and survey frameworks are scientifically backed and statistically valid. What you bring 7+ years of data science experience, with advanced skills in Python, SQL, and direct experience with modern data infrastructure like Snowflake, BigQuery, or dbt. Strong product focus and experience defining user requirements, collaborating with engineers, and taking internal data tools from conception to launch. Deep understanding of statistics, experimental design, and psychometrics or survey methodology to design research-backed questions. Direct experience integrating language models into data pipelines to automate text processing and summarization at scale. What we offer Challenging, high-impact work to grow your career. Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching. Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents. Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more. Employer-paid life & disability insurance, fertility benefits, and mental health benefits. Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $217,000 — $255,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $191,000 — $224,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $170,000 — $199,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
View more...Staff Data Scientist (People Analytics & Insights)
ENG Data Science
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Talent Management & Analytics team is scaling to its next major milestone—integrating advanced predictive insights and tactical AI into our workforce systems. Our mission is to build the data solutions that help the entire company recruit exceptional talent, design high-performing team structures, and put active organizational insights directly into the hands of everyone making team decisions. Operating at the intersection of data science, product development, and organizational psychology, we are transforming how Robinhood uses data to empower our workforce and anticipate organizational needs. As a Staff Data Scientist, you will serve as the team's technical and strategic anchor, owning the vision, design, and delivery of the high-impact data products that our executives, people partners, and line managers rely on every day. Your focus will be entirely on solving meaningful organizational problems: understanding what enables exceptional talent to thrive, accelerating team performance, and designing proactive strategies that support long-term retention across Robinhood. This is a unique opportunity to apply state-of-the-art language models and predictive analytics to solve critical talent problems! This role is based in our Menlo Park, CA, Chicago, IL, and New York, NY offices, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Spearhead the next phase of talent intelligence: Take the team beyond descriptive reporting and build the predictive frameworks that show not just what is happening in our workforce, but what will happen next. Architect a unified workforce data model: Pipeline data across disparate recruiting systems, performance cycles, surveys, and internal tools into a single, cohesive data model that maps the entire employee lifecycle; use AI-native workflows aggressively to parse unstructured text like exit notes and survey feedback at scale. Define the metrics dictionary and semantic layer: Standardize how metrics like headcount, attrition, and workforce trends are measured across the company; build the semantic layers that keep this data consistent and trustworthy at scale. Drive data access control and governance: Build the frameworks for role-based access controls and data masking so HR, Finance, and line managers have exactly the access they need without risking sensitive personnel data. Redesign employee sentiment architecture: Replace traditional annual survey cycles with a continuous, always-on listening framework that captures real-time organizational health and highlights leading risk indicators. Own product delivery: Act as the technical product owner for internal data interfaces—collaborating directly with Enterprise Engineering to ensure exceptional user utility, predictive accuracy, and data reliability. Enforce rigorous statistical standards: Apply experimental design, A/B testing, and psychometric methodologies to ensure our predictive workforce models and survey frameworks are scientifically backed and statistically valid. What you bring 7+ years of data science experience, with advanced skills in Python, SQL, and direct experience with modern data infrastructure like Snowflake, BigQuery, or dbt. Strong product focus and experience defining user requirements, collaborating with engineers, and taking internal data tools from conception to launch. Deep understanding of statistics, experimental design, and psychometrics or survey methodology to design research-backed questions. Direct experience integrating language models into data pipelines to automate text processing and summarization at scale. What we offer Challenging, high-impact work to grow your career. Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching. Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents. Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more. Employer-paid life & disability insurance, fertility benefits, and mental health benefits. Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $217,000 — $255,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $191,000 — $224,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $170,000 — $199,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
View more...Staff Data Scientist (People Analytics & Insights)
ENG Data Science
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Talent Management & Analytics team is scaling to its next major milestone—integrating advanced predictive insights and tactical AI into our workforce systems. Our mission is to build the data solutions that help the entire company recruit exceptional talent, design high-performing team structures, and put active organizational insights directly into the hands of everyone making team decisions. Operating at the intersection of data science, product development, and organizational psychology, we are transforming how Robinhood uses data to empower our workforce and anticipate organizational needs. As a Staff Data Scientist, you will serve as the team's technical and strategic anchor, owning the vision, design, and delivery of the high-impact data products that our executives, people partners, and line managers rely on every day. Your focus will be entirely on solving meaningful organizational problems: understanding what enables exceptional talent to thrive, accelerating team performance, and designing proactive strategies that support long-term retention across Robinhood. This is a unique opportunity to apply state-of-the-art language models and predictive analytics to solve critical talent problems! This role is based in our Menlo Park, CA, Chicago, IL, and New York, NY offices, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Spearhead the next phase of talent intelligence: Take the team beyond descriptive reporting and build the predictive frameworks that show not just what is happening in our workforce, but what will happen next. Architect a unified workforce data model: Pipeline data across disparate recruiting systems, performance cycles, surveys, and internal tools into a single, cohesive data model that maps the entire employee lifecycle; use AI-native workflows aggressively to parse unstructured text like exit notes and survey feedback at scale. Define the metrics dictionary and semantic layer: Standardize how metrics like headcount, attrition, and workforce trends are measured across the company; build the semantic layers that keep this data consistent and trustworthy at scale. Drive data access control and governance: Build the frameworks for role-based access controls and data masking so HR, Finance, and line managers have exactly the access they need without risking sensitive personnel data. Redesign employee sentiment architecture: Replace traditional annual survey cycles with a continuous, always-on listening framework that captures real-time organizational health and highlights leading risk indicators. Own product delivery: Act as the technical product owner for internal data interfaces—collaborating directly with Enterprise Engineering to ensure exceptional user utility, predictive accuracy, and data reliability. Enforce rigorous statistical standards: Apply experimental design, A/B testing, and psychometric methodologies to ensure our predictive workforce models and survey frameworks are scientifically backed and statistically valid. What you bring 7+ years of data science experience, with advanced skills in Python, SQL, and direct experience with modern data infrastructure like Snowflake, BigQuery, or dbt. Strong product focus and experience defining user requirements, collaborating with engineers, and taking internal data tools from conception to launch. Deep understanding of statistics, experimental design, and psychometrics or survey methodology to design research-backed questions. Direct experience integrating language models into data pipelines to automate text processing and summarization at scale. What we offer Challenging, high-impact work to grow your career. Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching. Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents. Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more. Employer-paid life & disability insurance, fertility benefits, and mental health benefits. Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $217,000 — $255,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $191,000 — $224,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $170,000 — $199,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
View more...Senior Android Engineer, iRAD
Brokerage Engineering
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Android team’s mission is to redefine how millions of users engage with their finances. We're focused on delivering intuitive, scalable, and inclusive mobile experiences that empower our customers to build better financial futures. We collaborate closely with Product, Design, and Backend Engineering to ensure every interaction on Android reflects quality, performance, and care. Robinhood’s iRAD team builds and scales investing experiences across areas like Retirement, Advisory, Recurring Investments, and Recommendations. The team works across both foundational and customer-facing surfaces, including onboarding flows, settings, deeplinks, and other shared product experiences. As a Senior Android Engineer on iRAD , you would build and evolve high-impact mobile experiences across these investing journeys, helping shape how customers discover, open, manage, and grow their accounts on Robinhood. You would lead complex Android work end to end across shared product surfaces and onboarding flows, partner closely with product, design, and backend teams, and make thoughtful technical decisions in areas where safety, scalability, and cross-team compatibility matter. This role is based in our New York City, NY or Menlo Park, CA office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Build intuitive, elegant, and stable mobile experiences using Kotlin, Jetpack Compose, and modern Android APIs Lead the full lifecycle of product features — from ideation and technical design to implementation, testing, and release Collaborate closely with Product Managers, Designers, Backend Engineers, and Data Scientists to create impactful solutions Champion engineering best practices that ensure code quality, scalability, and maintainability Mentor junior developers and help elevate team standards and collaboration What you bring 5+ years of professional experience developing Android applications Proficiency with Kotlin and/or Java, and a strong grasp of Android SDK and architecture patterns like MVVM Experience using Jetpack Compose, Coroutines & Flow or RxJava, and libraries such as Retrofit and Room Strong collaboration and communication skills with a product-focused mindset Demonstrated ability to mentor peers, lead complex projects, and influence architecture decisions Bachelor’s degree in Computer Science or equivalent experience What we offer Challenging, high-impact work to grow your career Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching Best-in-class benefits including 100% paid health insurance for employees with 90% coverage for dependents Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more Employer-paid life & disability insurance, fertility benefits, and mental health support Generous time off including company holidays, PTO, sick time, and parental leave Exceptional office experience with catered meals, stocked kitchens, and commuter benefits In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $196,000 — $230,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $172,000 — $202,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $153,000 — $179,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
View more...Senior Android Engineer, iRAD
Brokerage Engineering
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Android team’s mission is to redefine how millions of users engage with their finances. We're focused on delivering intuitive, scalable, and inclusive mobile experiences that empower our customers to build better financial futures. We collaborate closely with Product, Design, and Backend Engineering to ensure every interaction on Android reflects quality, performance, and care. Robinhood’s iRAD team builds and scales investing experiences across areas like Retirement, Advisory, Recurring Investments, and Recommendations. The team works across both foundational and customer-facing surfaces, including onboarding flows, settings, deeplinks, and other shared product experiences. As a Senior Android Engineer on iRAD , you would build and evolve high-impact mobile experiences across these investing journeys, helping shape how customers discover, open, manage, and grow their accounts on Robinhood. You would lead complex Android work end to end across shared product surfaces and onboarding flows, partner closely with product, design, and backend teams, and make thoughtful technical decisions in areas where safety, scalability, and cross-team compatibility matter. This role is based in our New York City, NY or Menlo Park, CA office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Build intuitive, elegant, and stable mobile experiences using Kotlin, Jetpack Compose, and modern Android APIs Lead the full lifecycle of product features — from ideation and technical design to implementation, testing, and release Collaborate closely with Product Managers, Designers, Backend Engineers, and Data Scientists to create impactful solutions Champion engineering best practices that ensure code quality, scalability, and maintainability Mentor junior developers and help elevate team standards and collaboration What you bring 5+ years of professional experience developing Android applications Proficiency with Kotlin and/or Java, and a strong grasp of Android SDK and architecture patterns like MVVM Experience using Jetpack Compose, Coroutines & Flow or RxJava, and libraries such as Retrofit and Room Strong collaboration and communication skills with a product-focused mindset Demonstrated ability to mentor peers, lead complex projects, and influence architecture decisions Bachelor’s degree in Computer Science or equivalent experience What we offer Challenging, high-impact work to grow your career Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching Best-in-class benefits including 100% paid health insurance for employees with 90% coverage for dependents Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more Employer-paid life & disability insurance, fertility benefits, and mental health support Generous time off including company holidays, PTO, sick time, and parental leave Exceptional office experience with catered meals, stocked kitchens, and commuter benefits In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $196,000 — $230,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $172,000 — $202,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $153,000 — $179,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
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