Software/ML Intern (Winter 2026)

About This Role

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.

• Salary Range

  $40 - $50