About the role

ML Engineer advancing AI systems for manufacturing operations through collaboration and innovation. Play a pivotal role in developing solutions in a dynamic research environment.

Responsibilities

Collaborate with a lead researcher on modeling decisions, structured experiments, and paper development
Implement and maintain policy training code for methods such as ACT, Diffusion Policy, Pi0 fine-tuning/OpenPi, and relevant baselines
Independently read and implement new methods from recent papers
Run ablation sweeps, generate comparison tables/plots, and analyze experimental results
Maintain an evaluation harness to ensure reproducibility across runs
Conduct literature sweeps and organize related-work documentation
Draft and iterate on methods, experiments, and related-work sections for technical writing
Review training code from robotics engineers as needed

MS, PhD in Machine Learning, Robotics, Computer Science, or a closely related field
2–5 years of industry experience as an ML engineer
At least one first- or co-author paper published at a credible ML or robotics venue (e.g., CoRL, RSS, ICRA, NeurIPS, ICML, ICLR)
Strong proficiency with PyTorch and distributed training for ML models
Hands-on experience with imitation learning, reinforcement learning, or vision-language-action (VLA) methods for sequential decision-making
Proficiency with Docker for reproducible ML and research workflows
Ability to design and structure ablation studies for ML experiments
Ability to read recent ML/robotics papers and implement methods independently
Experience fine-tuning vision-language-action (VLA) models
Robotics manipulation background
Contributions to OpenPi or LeRobot projects
Familiarity with advanced ML research workflows
Experience collaborating with cross-disciplinary teams in industrial automation

Work with cutting-edge Vision AI & IoT solutions that power autonomous manufacturing, robotics, and industrial automation.
Opportunity to lead in a fast-growing AI company driving real-world impact in industrial AI adoption.
Collaborate with world-class engineers & AI experts in a dynamic, innovation-driven environment.