Handshake
Technology
EngineeringManager,RLE
Neural analysis suggests this role is
optimal for Manager candidates.
“Engineering Manager, RLE at Handshake. Skills: Reinforcement Learning, ML Infrastructure, Distributed Systems. Build reinforcement learning environments. Scale reinforcement learning environments”
What You'll Achieve.
RLE becomes trusted platform; New domains launch quickly; Launch with high-quality data; Systems are reliable; Systems are scalable; Drive measurable model improvements
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
7+ years building backend systems, 7+ years building distributed systems, 7+ years building ML infrastructure, Node.js proficiency, ReactJS proficiency, TypeScript proficiency, Deep knowledge of backend architectures, Command of relational databases, Data modeling, System design, Distributed systems principles, Cloud infrastructure experience, CI/CD pipelines experience, Operating production systems at scale, Applied AI experience required
Nice to Have
Full-stack engineers preferred, Backend-leaning engineers preferred, Experience with RL training infrastructure, Experience with simulation systems, Experience with evaluation platforms, Working in operations-heavy environment, Experience supporting applied ML research, Experience supporting AI research teams
What You'll Do.
Build reinforcement learning environments
Scale reinforcement learning environments
Build platforms for environments
Scale platforms for environments
Drive architecture for environment systems
Drive architecture for data generation pipelines
Partner with Research
Turn needs into production systems
Build plug-and-play domains
Integrate domains with training loops
Integrate domains with evaluation loops
Raise bar on reliability
Raise bar on observability
Raise bar on performance
Raise bar on data quality
How You'll Work.
Team & Collaboration
Partner with Research; Partner with Product; Partner with Ops; Work with US-based teams
Full Job Description
ABOUT HANDSHAKE 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. We are building our India team to help accelerate the development of frontier models. This team is a critical, strategic investment for us - we have grown the team 3x in the past six months to help fuel our next phase of growth. India-based teammates will work hand-in-hand with US-based teams to scope, execute, and deliver critical human data projects to Frontier Labs and other customers. ABOUT THE ROLE We’re hiring a Senior Software Engineer to build our Reinforcement Learning Environments (RLE) platform—the interactive systems where
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