Associate Software Engineer, RLE

Handshake
San Francisco, CA, United States
about 1 month ago
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Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
0 years minimum
Compensation
$135,000.0 - $150,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Databases PostgreSQL Software Engineering TypeScript Reinforcement Learning ReactJS Reliability of Systems Backend Front End Software Development
+1 more
Data Pipelines

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 an Associate Software Engineer to help build our Reinforcement Learning Environments (RLE) platform-the systems where frontier AI models learn to complete real-world work.

This is a hands-on, growth-oriented role where you’ll contribute to building core systems, learn quickly from senior engineers, and gain exposure to cutting-edge AI infrastructure., * Contribute to building RLE environments and supporting infrastructure

  • Implement features across backend systems and frontend interfaces
  • Work with senior engineers to improve system reliability and performance
  • Help build modular workflow domains (e.g., engineering, finance, legal)
  • Support data pipelines that power model training and evaluation

Requirements

  • 0-2 years of experience (internships or full-time) in software engineering
  • Familiarity with backend development and APIs
  • Working knowledge of ReactJS and TypeScript
  • Understanding of databases (e.g., PostgreSQL) and basic system design
  • Eagerness to learn and operate in fast-paced environments

Nice to Have

  • Exposure to cloud platforms (AWS, GCP)
  • Experience with data pipelines or ML-adjacent systems
  • Interest in AI/ML or simulation systems

Benefits & conditions

Pulled from the full job description

  • Referral program
  • Paid parental leave
  • Food provided
  • Parental leave
  • Health insurance
  • 401(k) matching
  • Paid time off, Financial Wellness: 401(k) match, competitive compensation, financial coaching

Family Support: Paid parental leave, fertility benefits, parental coachin

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 Compensation Range: $135K - $150K

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 — technically off-topic, practically not.

1:21 min

Exploring the target application for front end tests

Anna Mcdougall · JS Congress

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

1:38 min

Transitioning into backend engineering from web development

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

2:59 min

Introduction and transitioning into the tech industry

Anna Mcdougall · JS Congress

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