Machine Learning Engineer / Scientist
Team: Software and ML
Location: Bay Area
Commitment: Full-time
Workplace Type: onsite
Salary:
About You
- Degree in Computer Science or a related field (Applied Mathematics, Statistics, Data Science, Computational Biology).
- Excellent foundations in the mathematics that underlies machine learning, including linear algebra, probability, statistics, and calculus.
- Strong experience in modern machine learning approaches, such as representation learning, generative modeling, active learning, and bayesian optimization.
- Track record of developing ML approaches for scientific discovery, as evidenced by a strong publication record, substantial open source contributions, or deployment of a machine learning system in an industry role.
- Demonstrated ability to write modular, maintainable, and performant code in Python.
- Fluency with the Python data science and ML stack, including PyTorch, NumPy, SciPy, Pandas/Polars, Matplotlib/Plotly.
- Proficient with developer tooling, including Linux command line, Git, and shell scripting.
- Ability to think from first principles and tackle complex, cross-disciplinary problems with other scientists and engineers.
Preferred Qualifications
- 3+ years of relevant professional or research experience, or a PhD in a computational field.
- Strong understanding of computer science fundamentals, including algorithms, operating systems, and concurrency.
- Experience with cloud infrastructure (AWS, GCP) and SQL databases.
Benefits
- Opportunity for outsized impact creating the future as an early team member
- Generous medical, dental and vision insurance coverage
- Flexible time off and paid holidays
- Competitive compensation package, including salary and equity
- 401(k) retirement savings plan
- FSA and commuter benefits
- Subsidized lunch daily
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