Machine Learning Engineer (Robotics/ Physical AI)

PeopleGene
Bengaluru, Karnataka, India

About the role:

  • Build training data to operate on physical robotic platforms.
  • Own the full machine learning lifecycle—from data collection and custom architecture design to edge deployment, simulation-to-real (sim-to-real) transfer, and continuous hardware optimization.
  • Design, train, and evaluate deep learning, computer vision, and multimodal models (e.g., Vision-Language-Action or VLA systems) for robotic perception, reasoning, and manipulation.
  • Apply synthetic data, domain randomization, imitation learning, and reinforcement learning within simulation environments before transferring policies to physical robots.
  • Optimize, quantize, and compile ML models to run with low latency on edge compute hardware, sensors, and embedded robotic platforms.
  • Build and maintain scalable data ingestion, labeling, automated testing, and MLOps/monitoring pipelines for real-world operational data.
  • Work side-by-side with mechanical, electrical, controls, and software engineers to integrate AI models into safe, reliable physical machines.

Good to have:

  • Strong ML fundamentals, computer vision, coding skills, and Claude Code usage
  • Prior experience on perception models, multimodal datasets, and data pipelines for robotics.
  • Strong experience in SLAM, computer vision, quick prototyping research papers, model optimization and deployment, Azure ML, claude code.
  • Good understanding of SLAM, 3D reconstruction, real2sim, human exoskeletons and similar problems.
  • Preference for hardware or full stack engineering; VLAs or Robotics learning.
  • Prior 2-4 years of experience in Machine learning at high growth ventures.
  • Advanced proficiency in Python and familiarity with Linux/Unix development environments.
  • Practical background in computer vision, sensor fusion (cameras, LiDAR, IMUs), SLAM, or robot control/policies (imitation learning and reinforcement learning).
  • Experience with edge inference optimization (ONNX, TensorRT), containerization (Docker, Kubernetes), Git, and CI/CD workflows.
  • Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical/Mechanical Engineering, or a related technical field.

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Questions about this job

How do I apply for the Machine Learning Engineer (Robotics/ Physical AI) job at PeopleGene?

Use the apply link on this page: you apply directly with PeopleGene on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does PeopleGene want for this Machine Learning Engineer (Robotics/ Physical AI) role?

The job description asks for machine learning lifecycle, data collection, custom architecture design, edge deployment, simulation-to-real transfer, continuous hardware optimization, deep learning and computer vision. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at PeopleGene?

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Is this Machine Learning Engineer (Robotics/ Physical AI) job remote or onsite?

This is based in Bengaluru, Karnataka.

Is it free to apply? Does Fitboard charge anything?

Applying is free: you apply directly with PeopleGene, and this job page and its apply link cost nothing. Checking your resume against this job is free too, with 3 free scans when you sign in and no credit card needed.

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