Jobs with visa sponsorship in United States

About the role

As a platform research engineer, you'll do research around ways to make Applied Compute's platform intelligent. This includes how we set up continual learning against production traces (OPSD, SDPO, RMSD), scaling synthetic environments, data & evaluations, and integrating the RL stack that powers agent improvement over time. Your research will serve as the connective tissue between our AI product engineers (who build the interfaces and tools customers use) and our applied research engineers (who work directly with customers to ship agents into production). Your job is to take learnings from across customer deployments, identify the greatest common denominators, and pursue research to accelerate all of our deliveries. This role is based in San Francisco. We work from our office in the Mission. We offer:

What you'll bring

• Strong software engineering fundamentals combined with deep ML/AI knowledge
• Production research experience: both deliveries train models into production & top-tier conference publications, blogs, or reports
• Strong experimental design skills: you are diligent, don't cut corners, and actually run experiments
• Highly organized: you manage complexity across multiple workstreams
• Ability to read and translate research papers and prototypes into shippable engineering
• Strong candidates also have
• Experience with reinforcement learning
• Background in building evaluation frameworks, benchmarks, or data quality systems
• Experience with continual learning/distillation
• Opinions about multi-agent system architectures and the trade-offs between different approaches
• Published work or open-source contributions in AI/ML systems
• Previous experience as a founder or early engineer at a zero-to-one company

Benefits