Software Engineer I, RLE
AI Chopping Block, Inc., San Francisco, CA, United States
About Handshake
Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
Why join Handshake now:
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
Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others
Build a massive, fast-growing business with billions in revenue
About the Role
We’re hiring a
Software Engineer
to build our Reinforcement Learning Environments (RLE) platform—the interactive systems where frontier AI models learn to complete real-world work.
This role owns meaningful components end-to-end and plays a key part in scaling systems that power model training and evaluation.
Location:
San Francisco, CA (in-office, 5 days/week)
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
Improve reliability, observability, and system performance
What We’re Looking For
2–4 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
Ability to independently drive projects from design to production
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
What Success Looks Like
Owns and delivers key RLE components end‑to‑end
Improves system scalability and developer velocity
Enables faster launch of new domains with high‑quality data
Perks
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
#J-18808-Ljbffr
Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
Why join Handshake now:
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
Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others
Build a massive, fast-growing business with billions in revenue
About the Role
We’re hiring a
Software Engineer
to build our Reinforcement Learning Environments (RLE) platform—the interactive systems where frontier AI models learn to complete real-world work.
This role owns meaningful components end-to-end and plays a key part in scaling systems that power model training and evaluation.
Location:
San Francisco, CA (in-office, 5 days/week)
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
Improve reliability, observability, and system performance
What We’re Looking For
2–4 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
Ability to independently drive projects from design to production
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
What Success Looks Like
Owns and delivers key RLE components end‑to‑end
Improves system scalability and developer velocity
Enables faster launch of new domains with high‑quality data
Perks
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
#J-18808-Ljbffr