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Pressing pause on biological time, for those who need it most.
The Role
As a Software & ML Intern, you will build data pipelines and cloud-based tools, collaborating extensively to develop scalable scientific software solutions.
Summary Generated by Built In
Until is a moonshot company building a “pause button” for biology. Our near-term focus is organ-scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this time-critical challenge, we’re laying the foundation for medical hibernation: pausing molecular motion to give patients a bridge to future cures.
To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, controlled-rate freezers, and vitrification and rewarming protocols for human tissue. We are also building out our medical hibernation team to tackle the challenges of whole-body cryopreservation, beginning with rodent models.
We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely wait for future medicine to arrive.
About the Role
As a Software & ML Intern at Until, you’ll build the computational and infrastructure backbone that enables our science to move faster. You’ll design and implement data pipelines, lab automation interfaces, cloud-based scientific tooling, and active-learning frameworks that scale with our experiments. You will own projects end-to-end, collaborate across disciplines, and set a high bar for developing code that scales with the team.
About You
- Currently pursuing or recently completed a degree in Computer Science or a related field (Applied Mathematics, Statistics, Data Science).
- Ability to work for 3-4 full months full time and in person, from January - May 2026.
- Demonstrated ability to write modular, maintainable, and performant code in Python.
- Strong understanding of computer science fundamentals, including algorithms, operating systems, and concurrency.
- Excellent foundations in the mathematics that underlies machine learning, including linear algebra, probability, and statistics.
- 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.
- Track record of owning software/ML projects end-to-end, whether through past internships, research experience, or personal projects.
Preferred Qualifications
- Experience with cloud infrastructure (AWS, GCP).
- Experience with relational databases and proficiency in SQL.
- Fundamentals in a scientific field (physics, biology, chemistry) and experience applying computational methods to this field.
Top Skills
AWS
GCP
Numpy
Pandas
Plotly
Python
PyTorch
Scipy
SQL
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The Company
What We Do
We are building reversible cryopreservation technology to solve the organ procurement and matching problem.
Cryopreservation is already essential to modern medicine — powering IVF and life-saving stem cell therapies.
Now, we’re extending this technology to whole human organs — transforming hours of viability into weeks, or months, however long is necessary — so that no donated organ is lost to logistics, and no patient dies waiting.
By solving this immediate need, we de-risk and build the foundation for what comes next: whole-body reversible cryopreservation. We're pausing molecular motion to give patients a bridge to future cures.
