Research Scientist – Machine learning for Human-Machine Interactions
| Company | Toyota Research Institute |
|---|---|
| Location | Cambridge, MA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- PhD in Computer Vision, Machine Learning, Human-Centered AI, or a related field.
- Research experience in human and machine vision, behavior analysis, or multimodal learning.
- Strong publication record (e.g., CVPR, NeurIPS, ICCV, ICLR).
- Experience working with human-in-the-loop data: data collection, annotation strategies, and model training.
- Proficiency in deep learning frameworks (e.g., PyTorch, Jax, Hugginface) and data analysis tools.
- Ability to work both independently and as part of an interdisciplinary team.
Responsibilities
- Conduct original research on driver impairment detection and intervention (e.g. warning, coaching, actuation) using machine learning and computer vision.
- Develop algorithms and models to analyze driver behavior, physiological signals, and other multimodal inputs, as well as perform ML-based interactions with the driver.
- Design, implement, and conduct human-in-the-loop behavioral studies, ensuring robustness and real-world applicability.
- Publish findings in high-impact conferences and journals.
- Collaborate with interdisciplinary teams, including human factors experts, cognitive scientists, and engineers.
- Prototype and validate ML-based intervention strategies to enhance driver safety and performance.
Preferred Qualifications
- Experience in developing real-time AI systems for human monitoring.
- Familiarity with physiological and cognitive state estimation (e.g., eye tracking, EEG, heart rate variability).
- Background in human factors, cognitive psychology, or related fields.
- Experience deploying machine learning models in real-world environments.
- Knowledge of software development industry practices (version control, CI/CD, documentation).