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Until · 1 month ago

Machine Learning Engineer / Scientist

San Francisco, CA

Full-time

Onsite

Mid, Senior Level

$140K/yr - $240K/yr

3+ years exp

Until is a moonshot company focused on organ-scale reversible cryopreservation. The Machine Learning Engineer / Scientist will be a key member of the computational team, responsible for transforming experimental data into insights that drive scientific discovery.

BiotechnologyLife Science

Responsibilities

Build high-leverage ML systems that help develop new cryoprotectant formulations, engineer biologically-inspired antifreeze proteins, and understand the physics of vitrification and rewarming

Own projects end-to-end including shaping data collection and designing data pipelines, training and evaluating models, and deploying tooling that scientists use daily

Qualification

Machine LearningPythonData ScienceCloud InfrastructureStatistical AnalysisAlgorithmsSoft Skills

Required

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