🛠 Tech Stack

💼 About This Role

You'll build and scale core components of our Reinforcement Learning Environments platform at Handshake, the career network for the AI economy. You'll own meaningful components end-to-end and play a key role in scaling systems that power model training and evaluation.

🎯 What You'll Do

• Build and scale core components of RLE environments and infrastructure
• Design and implement backend systems and data pipelines
• Translate ambiguous product and research needs into production systems
• Develop modular, reusable workflow domains

📋 Requirements

• 4-6 years of experience in backend, distributed systems, or ML-adjacent infrastructure
• Strong proficiency in ReactJS and TypeScript
• Solid experience with relational databases (PostgreSQL) and data modeling
• Experience with cloud infrastructure (AWS/GCP) and CI/CD

✨ Nice to Have

• Experience with simulation systems or evaluation platforms
• Exposure to ML systems or working with research teams
• Experience in fast-moving, operations-heavy environments

🎁 Benefits & Perks

• 🎯 Ownership: Equity in a fast-growing company
• 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching
• 💝 Wellbeing: Medical, dental, vision, mental health support, $500 wellness stipend
• 📚 Growth: $2,000 learning stipend, ongoing development
• 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Screen· 60 min
3. 3Onsite Interviews· 4 hours