🛠 Tech Stack

💼 About This Role

You'll join an elite AI team applying frontier technologies to financial problems, building and evaluating ML models that power intelligent customer experiences. You'll define quality standards for ML systems across Robinhood and shape how models are built, evaluated, and improved.

🎯 What You'll Do

• Build and evaluate self-built, frontier and fine-tuned models across quality, latency, cost, and edge cases
• Partner with product managers, data scientists, and engineers to translate evaluation results into launch criteria
• Analyze production issues, identify root causes, and prioritize improvements to increase system reliability
• Build visibility into model performance through metrics, monitoring, and reporting

📋 Requirements

• Experience building complex production ML models and systems including tradeoffs in performance, cost, latency
• Deep experience defining and measuring quality for ML systems using evaluation frameworks, datasets, and scorecards
• Demonstrated ability to analyze production issues and lead initiatives improving system quality across multiple teams

✨ Nice to Have

• Experience with LLMs and Transformer models
• Experience building or operating systems in regulated environments
• Experience with AI evaluation and observability tools

🎁 Benefits & Perks

• 💵 Performance driven compensation with multipliers, bonus, equity, 401(k) matching
• 🏥 100% paid health insurance for employees, 90% for dependents
• 💆 Lifestyle wallet for wellness, learning, and more
• 👶 Parental leave and fertility benefits
• 🍱 Exceptional office experience with catered meals and events

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min
4. 4Onsite (multiple rounds)· 4 hours