At Walden Robotics, we envision a world where general-purpose robots dramatically improve the quality of life for all people—supporting us at home, at work, in factories, on farms, and beyond. Backed by E14 Fund.
About the role
You will lead policy pretraining—training the policies that map what a robot perceives to what it does. As a senior IC you own a core part of the pretraining stack end to end, take major training experiments from idea to trustworthy result, and set direction others build on.
What they're looking for
- Model Training: Deep hands-on experience training deep models with strong engineering fundamentals in a modern ML framework
- Ownership: A track record of driving ambiguous, large-scale training workstreams to a result independently
- Data-Driven Reasoning: Comfort reasoning about model behavior from data and metrics rather than intuition alone
- Technical Judgment: The judgment to make sound modeling and architecture trade-offs and set direction others follow
- Leadership: Experience mentoring engineers and raising technical standards
More about this role
You will lead policy pretraining—training the policies that map what a robot perceives to what it does. As a senior IC you own a core part of the pretraining stack end to end, take major training experiments from idea to trustworthy result, and set direction others build on.
- Model Development: Design and train policy-pretraining models, owning significant parts of the architecture and training loop.
- Experimentation: Design, run, and analyze experiments; debug training dynamics; iterate quickly.
- Pipeline & Tooling: Build reusable components and drive the efficiency and reliability of the pretraining pipeline.
- Model Analysis: Investigate model behavior from data and metrics, and turn findings into concrete improvements.
- Technical Leadership: Set technical direction for pretraining and mentor MTS engineers on the stack.
- Model Training: Deep hands-on experience training deep models with strong engineering fundamentals in a modern ML framework.
- Ownership: A track record of driving ambiguous, large-scale training workstreams to a result independently.
- Data-Driven Reasoning: Comfort reasoning about model behavior from data and metrics rather than intuition alone.
-...
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