Innodata Inc.
Robotics / Physical AI Research Engineer
Hybrid - New Jersey
Sponsorship not specified$180k-$300kDetected 22 days ago
PythonMachine LearningPyTorchData EngineeringNLPLLMsRoboticsResearchCommunication
About the role
- This role exists because the value of that data is determined long before a model sees it, in how it is collected, structured, and labeled.
- This is a hybrid role requiring frequent on-site presence at our Saddle Brook, NJ facility.
- Candidates should be located within commutable distance or willing to travel to Saddle Brook regularly.
Responsibilities
- A data-centric mindset, with a demonstrated understanding that data design drives model performance as much as architecture does.
Requirements
- Experience with robotics simulation and synthetic data tools such as NVIDIA Isaac Sim, Isaac Lab, and Omniverse, or comparable platforms.
- Experience with teleoperation or egocentric data collection.
Compensation
- The expected salary range for this position is $180,000 - $300,000 USD per year, based on experience, skills, and qualifications.
Benefits
- A background in robot learning or robotics machine learning, covering areas such as imitation learning, reinforcement learning, manipulation, vision-language-action models, or world models.
- Hands-on experience training and evaluating models for robotics, such as building manipulation or locomotion policies through imitation learning or reinforcement learning, with strong PyTorch fundamentals.
- Experience fine-tuning large vision-language or vision-language-action models with the modern toolchain, for example HuggingFace transformers and PEFT.
Company info
- We are hiring primarily at the mid to senior level, and we will consider very senior candidates with the right background.
- Strong written and verbal communication skills, since this role interfaces directly with customers and the broader robotics community, and must explain technical data and modeling decisions clearly to both expert and non-expert audiences.
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