Internship role supporting RPA development at Demant Business Services. Engage in documentation, testing, and bot development under senior guidance.
TI
Hybrid Robotics Machine Learning Engineer – Platforms for Vision Language Action Foundation Models
Posted last month
About the role
- Machine Learning Engineer developing infrastructure and supporting researchers in foundation model development for robotics at Toyota Research Institute (TRI). Focusing on creating general-purpose robots capable of dexterous tasks.
Responsibilities
- Develop our hardware platform, making sure the robots and software stack are state-of-the-art, operational, and continuously improved with new functionalities.
- Build APIs and systems for high-throughput inference and logging in simulation and on real robot platforms.
- Design metrics pipelines for quantitative and qualitative evaluation.
- Build scalable pipelines for heterogeneous multimodal data (images, text, video, touch, depth, proprioception).
Requirements
- Hardware experience on robots
- Communication protocol experience (ROS, WebSocket, RPC…)
- Strong software engineering skills in **Python**, **PyTorch**, and distributed systems.
- Experience with large-scale data handling, including streaming, preprocessing, and storage of video or sensor data.
- A “make it happen” attitude and comfort with fast prototyping.
- A passion for robotics and development grounded in important fundamental problems.
- Continuous integration
- Familiarity with modern ML efficiency frameworks (e.g., FSDP, DeepSpeed, XLA, Ray, Hugging Face Accelerate).
- Experience with machine learning and familiarity with large multi-modal datasets and models.
- Experience working in a research environment, published research papers, open-source projects
Benefits
- medical, dental, and vision insurance
- 401(k) eligibility
- paid time off benefits (including vacation, sick time, and parental leave)
- an annual cash bonus structure
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