Santa ClaraFull TimeEngineering
Remotely
pythonmachine learningllmagentic aiaideep learningreinforcement learningpytorch
Job Description
📋 Description
- Design and execute end-to-end research projects that improve long-horizon enterprise agents across
- Research model post-training methods such as continued pretraining, supervised fine-tuning (SFT)
- Research harness-level optimization across prompts and task framing, tool and schema design
- Build improvement flywheels that mine trajectories and production-safe signals, identify recurring
- Create realistic, stateful training environments and benchmarks for enterprise workflows, with
- Run rigorous ablations and scaling experiments; reason explicitly about variance, contamination
🎯 Requirements
- 10+ years of relevant AI/ML research or engineering experience, or equivalent research depth and
- Track record of setting technical direction and leading multiple ambiguous, high-impact research
- Strong foundations in machine learning, deep learning, reinforcement learning, and experimentation
- Advanced Python and PyTorch skills, including modifying training code, data pipelines, evaluators
- Practical depth in agentic AI, including tool use, planning, memory, retrieval, environments, or
- Experience designing decision-useful evaluations using robust datasets, trajectory analysis
🎁 Benefits
- Equity (when applicable)
- Variable/incentive compensation
- Health plans including flexible spending accounts
- 401(k) Plan with company match
- ESPP (Employee Stock Purchase Plan)
- Matching donations
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