Handshake - Senior Software Engineer (RLE)
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Requirements
• 6+ years building backend, distributed systems, or ML infrastructure • Proficiency with ReactJS and TypeScript, with deep knowledge of backend architectures. • Strong command of relational databases (e.g., PostgreSQL), data modeling, system design, and distributed systems principles. • Experience with cloud infrastructure (AWS, GCP), CI/CD pipelines, and operating production systems at scale. • Experience with RL training infrastructure, simulation systems, or evaluation platforms • Working in an operations-heavy, tech-enabled environment • Experience supporting applied ML or AI research teams • What Success Looks Like • RLE becomes a trusted platform for training workflow-capable models • trusted platform • New domains launch quickly with high-quality data • quickly with high-quality data • Systems are reliable, scalable, and drive measurable model improvements • reliable, scalable, and drive measurable model improvements
Responsibilities
• Build and scale our reinforcement learning environments and the platforms behind them • Drive architecture for scalable, reliable, extensible environment systems and data generation pipelines • Partner with Research, Product, and Ops to turn ambiguous needs into production systems • Build modular, plug-and-play domains that integrate cleanly with training and evaluation loops • Raise the bar on reliability, observability, performance, and data quality
Benefits
• Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel • Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions • Build a massive, fast-growing business with billions in revenue • We’re hiring a Senior Software Engineer to build our Reinforcement Learning Environments (RLE) platform—the interactive systems where frontier AI models learn to complete real-world work. • Reinforcement Learning Environments (RLE) • RLE environments simulate workflows (e.g., software engineering, finance, legal) with realistic tools, constraints, and feedback loops. The data generated powers training and evaluation for model quality, robustness, and task completion. • This is a high-ownership role with direct impact on how models learn and how quickly new domains scale. • high-ownership role • Location: San Francisco, CA (in-office, 5 days/week) • Location: • Handshake delivers benefits that help you feel supported—and thrive at work and in life. • The below benefits are for full-time US employees. • 🎯 Ownership: Equity in a fast-growing company • 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching • 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching • 💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend • 📚 Growth: $2,000 learning stipend, ongoing development • 💻 Office: Commuting support, free lunch, and gym in our SF office • 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days • 🤝 Connection: Team outings & referral bonuses
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