Until
Machine Learning Engineer / Scientist
About this role
Until is seeking an ML Engineer/Scientist to join their team developing reversible organ cryopreservation technology. You'll build machine learning systems that accelerate the discovery of cryoprotectant formulations, antifreeze proteins, and vitrification processes, working directly with experimental data to drive scientific breakthroughs.
What you'll do
- Design and implement ML systems to analyze experimental cryopreservation data
- Build data collection strategies and pipelines for biological experiments
- Develop models for cryoprotectant formulation optimization
- Engineer computational tools for antifreeze protein discovery
- Train, evaluate, and deploy ML models for vitrification and rewarming physics
- Collaborate with interdisciplinary team to translate insights into next-phase experiments
What they're looking for
- Machine learning model development and deployment
- Data pipeline design and engineering
- Scientific data analysis
- Python or similar programming languages
- Experiment design and optimization
- Physics or biology domain knowledge
- Model evaluation and validation
- Cross-functional collaboration
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Until
Until is developing reversible organ cryopreservation technology that preserves organs at subzero temperatures without ice damage for transplantation and medical hibernation applications. The company is hiring software engineers, machine learning scientists, mechanical engineers, electrical engineers, and applied physicists to build data pipelines, lab automation systems, perfusion hardware, cryoprotectant formulations, and cloud infrastructure supporting this biological research.
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