- Currently enrolled in a doctoral program in materials science, computer science, statistics, applied math, machine learning, physics, or a related discipline.
- Strong foundations in machine learning, linear algebra, probability, and optimization, with demonstrated experience training models on real datasets.
- Familiarity with representation learning or scientific machine learning; experience studying model convergence, learning dynamics, symmetries, or identifiability is a plus.
- Proficiency in Python and modern ML tooling (e.g., PyTorch, experiment tracking, reproducibility best practices).
- Ability to work collaboratively across disciplines and to translate research ideas into working code.
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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