Posted on: 28/10/2026
ML Engineer - Robotics at PhyAgents
At PhyAgents, a machine learning engineer works across the full loop that makes a robot better : data, models, training, simulation, evaluation, and deployment on real hardware. You'll do research-grade work and ship it onto robots in the same quarter.
Responsibilities :
- Training and post-training : Train and post-train robotic foundation models, including vision-language-action models, using imitation learning and reinforcement learning.
- Training infrastructure : Build and scale distributed multi-node GPU training, data loaders, and reproducible pipelines.
- Simulation : Build simulation environments and train policies that transfer to real robots.
- Rewards and verifiers : Design reward functions and verifiers for task success.
- Evaluation : Build harnesses to evaluate model performance in simulation and on real hardware.
- Data and data infrastructure : Define data needs and build pipelines to turn raw robot episodes into versioned datasets.
- Models on robots : Ensure models run reliably on real hardware and debug failures.
Requirements :
- 5+ years of hands-on experience training and shipping ML models in production or research.
- B. Tech, M. Tech or PhD in Computer Science, Electrical Engineering or a related field.
- Track record of owning an ML system end to end.
- Deep hands-on experience with PyTorch, including writing and debugging non-trivial training loops.
- Experience training at scale : multi-GPU or multi-node training (DDP, FSDP, DeepSpeed, or equivalent).
- Strong fundamentals in linear algebra, probability, optimisation, and machine learning.
- Strong software engineering habits.
Tech Stack : C++, Rust, Golang, TypeScript, Jetson, ONNX, TensorRT
About PhyAgents :
At PhyAgents, we're building the Claude Code for Physical AI : a robotic foundation model plus an agentic framework for reliable, long-horizon operations in industrial environments. We're starting with high-mix verticals where fixed automation has never worked. We build physical agents : complete robots, delivered as a workforce.
Why Explore a Career at PhyAgents :
You'll be among the first engineers in the India team of a Silicon Valley deep tech startup. You'll work on the same problems, with the same bar, as our team in San Jose. The India team is a core part of how we build models, data, and infrastructure.
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