Senior Machine Learning Engineer
About The Position
Robinhood is building an elite team applying frontier technologies to the world’s biggest financial problems. They are looking for bold thinkers and sharp problem-solvers who are wired to make an impact. Robinhood is described as a place where ambitious people do the best work of their careers. The team is high-performing, fast-moving, and has ethics at the center of everything they do. Expectations are high, and so are the rewards. They are seeking an exceptional Senior Machine Learning Engineer to help shape the future of their core platforms, products, and customer experiences. The FinTech space is complex and rapidly evolving, requiring deep innovation, critical thinking, and scale. This role is highly influential, shaping vision and execution across key strategic initiatives. The engineer will partner with cross-functional leaders, contribute to high-impact decisions, guide complex projects from concept to completion, and mentor others. This is a role for someone who leverages modern tools and cutting-edge methodologies to solve problems and raises the bar for everyone around them. This role is based in Menlo Park, CA, with in-person attendance expected at least three days per week. Robinhood believes in the power of in-person work to accelerate progress, spark innovation, and strengthen community, with an intentional, energizing office experience designed to support high-performing teams.
Requirements
- Bachelor's degree or foreign equivalent in Computer Science or related field and three years of experience in AI, Machine learning, job offered or related occupation.
- 3 years of experience with Python, R, or SQL
- 3 years of experience with Statistical analysis methods
- 3 years of experience with Machine learning techniques
- 3 years of experience with Experimentation and A/B testing
- 3 years of experience with Dashboards and reporting tools
- 3 years of experience with Data validation and quality checks
- 3 years of experience with Data communication tools.
- Background checks required
Responsibilities
- Fine tuning, product use cases, developing AI inference services for product use cases.
- Optimization of agentic workflows through finetuning and reinforced learning.
- Improving evaluation and training or finetune models for product use cases.
- Working with platform tooling team to productionize fine-tuned models for customer use cases.
Benefits
- Performance driven compensation with multipliers for outsized impact
- bonus programs
- equity ownership
- 401(k) matching
- 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
- mental health benefits
- company holidays
- paid time off
- sick time
- parental leave
- Exceptional office experience with catered meals, events, and comfortable workspaces.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
