Robinhood
Financial Services
MachineLearningEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Machine Learning Engineer at Robinhood. Skills: Machine Learning, Recommendation systems, Ranking systems. Implement machine learning algorithms. Evaluate machine learning algorithms”
Industry & Context.
Problem-solvers; Critical thinking
What They're Looking For.
Must Have
Bachelor's degree or foreign equivalent, Three years of experience, Productionisation of ML models, Model development with classical ML, Model development with modern ML, Hands-on experience with architectural frameworks, Produce robust business outcomes, Proficiency in Python, Proficiency in SQL, Proficiency in XGBoost, Proficiency in Pytorch, Proficiency in Tensorflow, Proficiency in Spark, Proficiency in Kafka, Proficiency in Kubernetes
Nice to Have
Master's degree preferred, Kubernetes experience a plus
What You'll Do.
Implement machine learning algorithms
Evaluate machine learning algorithms
Evaluate cutting technologies
Develop scalable models
Implement scalable models
Design reinforcement learning algorithms
Apply multi-armed bandit strategies
Assess model performance
Set up test environment
Analyze experimental data
Extract actionable insights
Ensure relevance and accuracy
Integrate machine learning models
Meet business requirements
Build reusable libraries
Offer support and guidance
Maintain documentation
How You'll Work.
Team & Collaboration
Cross-functional leaders; Engineering teams; Data scientists; Marketing team
Communication Scope
Present results
Process & Methodology
Guide complex projects
Full Job Description
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. We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving spaces in technology, and the challenges we're tackling require deep innovation, critical thinking, and scale that don't always have strong precedents. You'll take on a highly influential role shaping vision and execution across key strategic initiatives. You'll partner with cross-functional leaders, contribute to high-impact decisions, guide complex projects from concept to completion, and mentor others on the team. This is a role for someone who leverages modern tools and cutting-edge methodologies as a core part of how they solve problems, and raises the bar for everyone around them. This role is based in our Bellevue, WA, with in-person attendance expected at least three 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 As a Machine Learning Engineer on the AI Research and
Applying for this Machine Learning Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about Robinhood?
Real rants from real employees. Read before you apply.