- Ph.D. candidate working in: computer vision, machine learning, robotics, embodied reasoning, or related fields.
- Proficiency in at least one of the following: Python, C++, ROS(2), PyTorch, JAX.
- Experience with geometric foundation models, LiDAR/visual inertial odometry stacks, and/or Bayesian filtering methods.
- Experience in deploying algorithms on real-world platforms.
- Excellent collaboration and communication skills.
- Strong interest in pushing the limits of vehicle autonomy and embodied AI.
Please include links to any relevant open-source contributions or technical project write-ups with your application.
The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.
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