AI Research Intern focusing on advancing deep learning techniques in financial products at TD. Collaborating on large - scale datasets and representing the team at ML conferences.
About the role
- Machine Learning Researcher at Astera Institute focusing on data-efficient and general model induction. Collaborating on innovative architectures with a focus on performance and throughput.
Responsibilities
- Hypothesize, test, and refine means of improving generalization performance of common architectural elements
- Think both mathematically and empirically about problems of runtime inference in gradient-trained networks
- Contribute to a well-documented and well-instrumented code base that is performant where necessary yet expeditious where experimental throughput demands
Requirements
- Masters or equivalent in machine learning, mathematics, or equivalent fields
- Fluency with Pytorch
- Familiarity with JAX, CUDA, and/or Triton + their open-source ecosystems
- Demonstrated ability do fundamental research
- Demonstrated ability to work in teams
Benefits
- Competitive compensation package
- Professional development opportunities
- Well-documented and well-instrumented code base
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