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# Associate Software Engineer, RLE

- **Company:** Handshake
- **Location:** San Francisco, CA, United States
- **Experience:** Starter
- **Salary:** $135,000.0 - $150,000.0
- **Contract:** Internship / Graduate position
- **Skills:** 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, Data Pipelines
- **Published:** August 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5a161d95fdd6f3f4

## About the Role

* 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

## 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


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