Senior Staff Machine Learning Engineer

Unchain Data; Menlo Park (CA); On-site; USD 298,000 - 350,000; Full time

Benefits offered by this job

Health insurance

Equity

401(k) matching

Catered meals

Wellness wallet

Job summary

Robinhood is looking for a Senior Staff Machine Learning Engineer to define and uphold the quality bar for ML systems across the organization. You will design evaluation frameworks and partner with product, data science, and engineering teams to ensure models meet standards for correctness, safety, latency, and user satisfaction.

This role is based in our Bellevue, WA or Menlo Park, CA offices, with in-person attendance expected at least 3 days per week, providing opportunities to influence

Qualifications

• Experience building complex and impactful production ML models and systems.
• Experience with traditional ML models and deep learning; LLMs/Transformers a plus.
• Deep experience defining and measuring quality for ML systems using evaluation frameworks, datasets, and scorecards.
• Ability to analyze production issues and lead quality-improvement initiatives across teams.
• Comfortable working with engineers, data scientists, and product partners to deliver measurable improvements.

Responsibilities

• Build and evaluate models across quality, latency, cost, and edge cases.
• Translate evaluation results into launch criteria for AI systems with cross-functional teams.
• Analyze production issues and prioritize improvements to reliability and performance.
• Build visibility into model performance via metrics, monitoring, and reporting.

Skills

Production ML models

Deep learning / LLMs

Evaluation frameworks

Performance optimization

Cross-team collaboration

Observability tools

Tools

AI evaluation tools

Observability tools

Job description

About Us

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. 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, and builders who are wired to make an impact. Robinhood is where ambitious people do the best work of their careers—a high-performing, fast-moving team with ethics at the center of everything we do.

About the Role

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 while enabling other teams to build, evaluate, and improve their own products.

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.

Responsibilities

• 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

Requirements

• 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
• Deep experience defining and measuring quality for machine learning systems using evaluation frameworks, datasets, and scorecards
• Demonstrated ability to analyze production issues and lead initiatives that improve system quality across multiple teams
• Comfortable working with engineers, data scientists, and product partners to deliver measurable improvements in system performance

Nice to Have

• Experience building or operating systems in regulated environments
• Working with AI evaluation and observability tools

Benefits

• 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 and 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

Compensation

In addition to the base pay range listed below, this role is also eligible for bonus opportunities, equity, and 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.

Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC): $298,000 — $350,000 USD

Zone 2 (Denver, CO; Westlake, TX; Chicago, IL): $298,000 — $350,000 USD

Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL): $298,000 — $350,000 USD