Handshake
AI
SeniorEngineeringManager,ReinforcementLearningEnvironments(RLE)
“Senior Engineering Manager, Reinforcement Learning Environments (RLE) at Handshake. Skills: Engineering management, RL environments, Platform development. Lead, hire, and develop a high-performing team. Own the RLE roadmap and execution”
What You'll Achieve.
RLE becomes default platform; New domains launch quickly; Environment reliability trusted; Data quality trusted; Platform measurably improves task completion
Industry & Context.
Execution in ambiguity; Deliver in fast-moving, unclear problem spaces
What They're Looking For.
Must Have
3+ years managing teams, 5+ years hands-on engineering experience
Nice to Have
Experience with RL training infrastructure, Simulation systems experience, Evaluation platforms experience, Human-in-the-loop systems experience, Operations-heavy, tech-enabled environment experience, Familiarity with AWS/GCP, Familiarity with APIs, Familiarity with Docker, Familiarity with modern stacks, TypeScript/Node experience, React experience, Experience building systems used by applied ML or AI research teams, Experience leading senior managing an (or equivalent scope) is a plus
What You'll Do.
and develop a high-performing team
Own the RLE roadmap and execution
Drive architecture for scalable systems
plug-and-play domains
Raise the bar on reliability
Create a culture of ownership
How You'll Work.
Team & Collaboration
Partner with Research; Partner with Product; Partner with Operations; Align cross-functionally
Process & Methodology
Roadmap execution
Applying for this Senior Engineering Manager, Reinforcement Learning Environments (RLE) role?
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