Senior Software Engineer, RLE

Handshake
United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Compensation
$225,000.0 - $250,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Cloud Computing Relational Databases Distributed Systems PostgreSQL Software Engineering TypeScript Reinforcement Learning ReactJS Backend Machine Learning Operations

Job description

For cash compensation, we set standard ranges for all U.S.-based roles based on function, level, and geographic location, benchmarked against similar stage growth companies. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed above., 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.

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.

Requirements

Do you have experience in TypeScript?, * 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.

Nice to Have

  • 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

Benefits & conditions

3.83.8 out of 5 stars Remote $225,000 - $250,000 a year - Full-time, Pulled from the full job description

  • Referral program
  • Paid parental leave
  • Food provided
  • Parental leave
  • Health insurance
  • 401(k) matching
  • Paid time off, * $225K - $250K, * 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, 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

About the company

Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions.

In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We’ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month.

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
  • Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions
  • Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders
  • Build a massive, fast-growing business with billions in revenue

About Handshake AI

Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale.

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Good distractions

Talks and stories from around this role β€” technically off-topic, practically not.

1:21 min

Exploring the target application for front end tests

Anna Mcdougall Β· JS Congress

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 Β· Coffee With Developers

5:37 min

Extensibility and programmability features of the PostgreSQL database

Silvano Coriani Silvano Coriani Β· Europe 2026 Virtual

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou Β· Coffee With Developers

1:38 min

Transitioning into backend engineering from web development

Stefan Lingler Stefan Lingler +1 Β· Coffee With Developers

2:59 min

Introduction and transitioning into the tech industry

Anna Mcdougall Β· JS Congress

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