
Absentia is a next-generation drug discovery platform that leverages in-silico whole-organism models to replace traditional animal testing. By addressing the significant failure rates of animal…

Absentia is a next-generation drug discovery platform that leverages in-silico whole-organism models to replace traditional animal testing. By addressing the significant failure rates of animal…
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Senior AI / Machine Learning Engineer (Foundation Models & Systems)
Absentia Labs, Inc.
Location: Remote / Hybrid
Team: Engineering
About Absentia Labs
Absentia Labs is building intelligent systems that sit at the intersection of AI, biology, chemistry, and large-scale engineering. Our goal is to translate complex scientific data into machine intelligence capable of reasoning, generalizing, and driving discovery.
Biomedical data is fragmented, noisy, and deeply interconnected. Turning it into a useful signal requires not only strong data foundations but also carefully designed learning systems that can scale across modalities, tasks, and uncertainty regimes. This role focuses on building and training those systems.
The Role
As a Senior AI / Machine Learning Engineer, you will lead the design, training, and deployment of large-scale machine learning models that form the core of Absentia Labs’ AI capabilities. You will work at the boundary between model architecture, training systems, and production infrastructure, with significant ownership over technical direction.
This role is intended for engineers who have trained large models in real production environments, understand the realities of scale, and can reason about both learning dynamics and systems constraints.
What You’ll Do
Who You Are
You are a senior ML engineer who thinks holistically about models as systems. You are comfortable operating under uncertainty, making trade-offs between compute, data, and performance, and owning outcomes from research through production.
You care deeply about training dynamics, failure modes, and scaling behavior, and you have the scars to prove it.
You Likely Have
Bonus If You Have
Note : Prior experience with molecular or biomedical models is not required. We value strong ML systems experience and the ability to transfer learning across domains.
What We Offer
How to Apply
Please submit your resume and a brief note describing your experience training large-scale models. Links to GitHub repositories, papers, or technical write-ups are encouraged.
Application Link
https://jobs.ashbyhq.com/absentia-labs
Our Commitment
Absentia Labs is an equal opportunity employer. We believe diverse teams build better systems and stronger science, and we encourage applicants from all backgrounds to apply.