Software Engineer I, RLE

Edtech.com's Summary

Handshake is hiring a Software Engineer I, RLE to develop and scale the Reinforcement Learning Environments platform that powers frontier AI model training and evaluation. The role involves building core backend components, implementing data pipelines, and improving system reliability and performance while translating ambiguous product and research needs into production systems.

Highlights

Build and scale core components of Reinforcement Learning Environments (RLE) and infrastructure
Design and implement backend systems and data pipelines
Translate ambiguous product and research requirements into production-grade systems
Develop modular, reusable workflow domains to enhance system flexibility
Improve reliability, observability, and overall system performance
Strong proficiency required in ReactJS and TypeScript
Experience with relational databases (PostgreSQL) and data modeling
Familiarity with cloud infrastructure (AWS/GCP) and CI/CD pipelines
2–4 years of experience in backend, distributed systems, or machine learning-adjacent infrastructure
Ability to independently lead projects from design through deployment

Software Engineer I, RLE Full Description

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 worldâs 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

Weâre hiring a Software Engineer to build our Reinforcement Learning Environments (RLE) platformâthe 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 Youâll 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 Weâre Looking For

2â4 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 supportedâand thrive at work and in life.

The below benefits are for full-time US employees.

ð¯ Ownership: Equity in a fast-growing company

ð° Financial Wellness: 401(k) match, competitive compensation, financial coaching

ð¼ Family Support: Paid parental leave, fertility benefits, parental coaching

ð Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend

ð Growth: $2,000 learning stipend, ongoing development

ð» Office: Commuting support, free lunch, and gym in our SF office

ð Time Off: Flexible PTO, 15 holidays + 2 flex days

ð¤ Connection: Team outings & referral bonuses

Original Job Description