Machine Learning Researcher - Springtail
Astera Institute· Projects
Hybrid (Emeryville HQ)$150k - $300kFull-timePosted 8mo ago
About the role
Machine Learning Researcher to develop data-efficient and general model induction architectures, including bootstrapped program synthesis and systems that synthesize learning algorithms, in a hybrid Emeryville, CA setting.
Responsibilities
- Hypothesize, test, and refine means of improving generalization performance of common architectural elements, including different forms of attention. This includes devising controlled datasets to elucidate e.g. learning order & learned representations.
- Think both mathematically and empirically about problems of runtime inference in gradient-trained networks, with an eye to the extensive literature on statistical learning and an open mind to the many forms of constrained optimization.
- Contribute to a well-documented and well-instrumented code base that is performant where necessary yet expeditious where experimental throughput demands.
Qualifications
- Masters or equivalent in machine learning, mathematics, or equivalent fields (strong candidates from neuroscience are encouraged to apply).
- Fluency with Pytorch, and familiarity with JAX, CUDA, and/or Triton + their open-source ecosystems.
- Demonstrated ability do fundamental research.
- Demonstrated ability to work in teams.
Skills
Required:Machine Learning ResearchPyTorch
Nice to have:JAX
Last updated Sep 23, 2026. Interested? Apply on the company site.
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