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 team builds models and systems that power intelligent, reliable customer experiences across Robinhood products. The team focuses on accuracy, reliability and impact of ML models and while doing so enables other teams to build, evaluate, and improve their own products. You will contribute to a culture grounded in first-principles thinking, high performance, and strong focus on customer outcomes!

As a Senior Staff Machine Learning Engineer, you will define and uphold the quality bar for ML systems across the organization. You will design evaluation frameworks, guide model selection, and partner with product, data science, and engineering teams to ensure systems meet clear standards for correctness, safety, latency, and user satisfaction. Your work will shape how ML models are built, evaluated, and improved across Robinhood!

This role is based in our Bellevue, WA 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 and evaluate self-built, frontier and fine-tuned models across quality, latency, cost, and edge cases to determine appropriate use cases
● Partner with product managers, data scientists, and engineers to translate evaluation results into clear launch criteria for AI systems
● Analyze production issues, identify root causes, and prioritize improvements to increase system reliability and performance
● Build visibility into model performance through metrics, monitoring, and reporting that inform roadmap decisions

What you bring

● You have experience building complex and impactful production ML models and systems, including understanding tradeoffs in performance, cost, and latency. Experience with traditional ML models, and also deep learning models; LLMs and Transformer models is a definite plus. 
● You have deep experience defining and measuring quality for machine learning systems using evaluation frameworks, datasets, and scorecards
● You have demonstrated ability to analyze production issues and lead initiatives that improve system quality across multiple teams
● You are comfortable working with engineers, data scientists, and product partners to deliver measurable improvements in system performance
● You have experience building or operating systems in regulated environments or working with AI evaluation and observability tools (nice to have)

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

About The Team + Role

The AI Research & Development team is at the forefront of transforming Robinhood into a personalized, AI-native financial platform. We build and scale the applied machine learning systems that power Robinhood’s core product surfaces to ensure every user discovers the most relevant tools for their financial journey. Our work is mission-critical; we develop the foundation models that protect our users through advanced risk modeling and drive the company’s top priority of hyper-personalization.

As the Senior Engineering Manager, AI R&D, you will lead a highly technical organization responsible for the full lifecycle of applied machine learning across a variety of business applications. This is a high-impact applied ML leadership role where you will lead a team responsible for personalization and risk models that directly affect millions of users’ financial outcomes. You will oversee the development of advanced modeling frameworks, foundation models, and transformer-based architecture designed to capture complex signals and drive intelligent predictions at scale. The work sits at the intersection of large-scale systems and high-stakes decisioning, where model quality directly translates to user trust and financial impact. This role requires an exceptional leader with a deep background in machine learning and a track record of guiding teams through the development of sophisticated architectures to deliver measurable product impact while maintaining the high standards of performance and security required for a large scale financial platform.

This role is based in our Menlo Park, CA or Bellevue, WA office, with in-person attendance expected 5 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community.

What You'll Do

• Lead, mentor, and scale a high-performing organization of engineers, managers, and applied ML specialists, providing technical guidance, regular feedback, and support for career growth.
• Guide model development and evaluation, ensuring AI applications are highly performant, secure, and ready to serve millions of customers.
• Partner cross-functionally with product, design, infrastructure, and other executive leaders to ensure AI platforms meet the complex needs of Robinhood’s diverse business lines.
• Establish clear engineering processes to ensure reliable delivery, code quality, and system scalability across multiple teams.

What You Bring

• Proven engineering leadership experience, with a track record of supporting performance, hiring top talent, managing managers, and driving organizational development.
• Hands-on experience in Applied Machine Learning, specifically with productionizing applications that leverage LLMs and advanced models to build real-world products.
• Deep understanding of ML infrastructure, platforms, and the complexities of deploying AI safely and securely across an enterprise.
• An execution-focused mindset capable of translating complex business and product goals into clear technical milestones and organizational strategy.

Leadership Expectations

Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here's what we expect from them:

• Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech.
• Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly.
• Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity.

About The Team + Role

The Agentic AI team is at the forefront of transforming Robinhood into an AI-native fintech company. We are building the foundational infrastructure and intelligent products that empower our customers and employees through multi-step reasoning, tool-using agents, and automated workflows.  

As the Senior Engineering Manager, Agentic AI, you will lead the team responsible for both the agentic platform and agentic applicaitons. You will oversee the creation of the core infrastructure including LLM Gateways, memory, and evaluation frameworks, while also driving the development of high-impact products and autonomous customer support systems. This role requires a visionary leader with a strong software and machine learning engineering background, a passion for developer-facing platforms, and deep expertise in applied ML at scale. 

This role is based in our Menlo Park, CA or Bellevue, WA office, with in-person attendance expected 5 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community.

What You'll do

• Lead, mentor, and scale a high-performing organization of engineers, managers, and applied ML specialists, providing technical guidance, regular feedback, and support for career growth.
• Guide model development and evaluation, ensuring AI applications are highly performant, secure, and ready to serve millions of customers.
• Partner cross-functionally with product, design, infrastructure, and other executive leaders to ensure AI platforms meet the complex needs of Robinhood’s diverse business lines.
• Establish clear engineering processes to ensure reliable delivery, code quality, and system scalability across multiple teams.

What You Bring

• Proven engineering leadership experience, with a track record of supporting performance, hiring top talent, managing managers, and driving organizational development.
• Hands-on experience in Applied Machine Learning, specifically with productionizing applications that leverage LLMs and advanced models to build real-world products.
• Deep understanding of ML infrastructure, platforms, and the complexities of deploying AI safely and securely across an enterprise.
• An execution-focused mindset capable of translating complex business and product goals into clear technical milestones and organizational strategy.

Leadership Expectations

Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here's what we expect from them:

• Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech.
• Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly.
• Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrit

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

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 Streaming Platform team’s mission is to enable real-time, reliable, and scalable data streaming across Robinhood’s products and infrastructure. We build and maintain foundational platforms that power communication between services and unlock streaming analytics across the company. Our systems are critical to Robinhood’s ability to build innovative financial products and deliver seamless experiences to our customers!

Here is an example of some of the exciting projects the team is working on!

• Robinhood’s Use of WarpStream for Logging 
• Robinhood’s Kafka Journey from EC2 to Kubernetes
• Robinhood’s Kafka Proxy

As a Staff Software Engineer, you’ll design, develop, and operate distributed systems that support core data pipelines and real-time event processing. You’ll collaborate with engineers across product, data, and ML teams to scale our platform, improve reliability, and enhance the developer experience across the company.

This role is based in our Bellevue, WA 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

• Design and operate distributed data streaming platforms that scale to billions of events per day
• Develop secure, performant, and highly reliable systems using technologies like Kafka, Flink, and Debezium
• Collaborate closely with product, infrastructure, data, and ML teams to ensure the platform supports diverse use cases
• Build tools and documentation to deliver a smooth, empowering experience for internal developers
• Mentor and support other engineers to drive architectural decisions and long-term technical strategy

What you bring

• 6+ years of professional experience in software engineering, including building distributed systems at scale
• A background in tools like Kafka, Flink and Debezium
• Proficiency in designing and implementing event-driven architectures and stream processing systems
• A passion for platform engineering and creating great experiences for other developers
• Strong communication and collaboration skills to work across technical teams

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.