Senior Machine Learning Engineer, Biologics

About Boltz

Boltz is a public benefit company building the next generation of AI-powered molecular modeling tools to make biology programmable and accelerate drug discovery, while keeping frontier capabilities broadly accessible.

Boltz began as an MIT spin-out. Our founders built Boltz-1 at MIT, and it became the first fully open-source model to match AlphaFold 3's accuracy in predicting the 3D structure of biomolecular complexes.

We focus on two things

• Open foundation models. Boltz-1, Boltz-2, and BoltzGen are open models trusted by 100,000+ scientists across biotech and academia, and used in programs at every Top 20 pharma as well as leading agrichemical and industrial research organizations.
• Boltz Lab. Our commercial platform runs our latest models and design agents as reliable, production-grade tools built around real chemistry and biology workflows. Teams start from a target and a hypothesis, then generate, evaluate, and rank candidate molecules, while we provide the compute, infrastructure, and collaboration layer so their scientists can move faster.

The two feed each other: open-source adoption earns scientific credibility and community insight, and Boltz Lab turns that into real impact on our partners' discovery programs.

You can read more about our mission, research and product vision in our manifesto.

About the role

As a Machine Learning Engineer on Biologics, you will own the engineering that turns our protein and antibody design models into fast, low-cost, hands-off pipelines. A near-term goal is to halve the cost of our current protein design pipeline and have it run with no human intervention on most enterprise-relevant targets.

You will work closely with the Biologics team's research scientists and computational biologists, our Post-training team, Research Engineering, our Product and Platform engineers, and our pharma and biotech partners.

This role is ideal for an engineer who enjoys making complex ML pipelines robust and efficient, and wants to see the antibodies, nanobodies and peptides they help design tested in the lab.

What you'll do

• Productionize our protein design pipeline: cut cost and runtime, and remove the manual steps between generation, structure prediction, scoring and candidate selection.
• Build training, fine-tuning and evaluation pipelines for our next antibody, nanobody and peptide design models.
• Make design runs scale to large campaigns, with reliable, reproducible outputs and clear failure handling.
• Run and adapt pipelines for partner pilots and customer projects, and take them into Boltz Lab with Product and Platform engineers.
• Feed what you learn about performance and failure modes back to research scientists and the product team.

About you

Minimum Requirements

• Senior or Staff-level experience building and shipping machine learning systems in production.
• Strong Python and PyTorch, and experience with distributed or high-throughput ML workloads on GPUs.
• Working knowledge of protein ML or biologics design (e.g. structure prediction, ProteinMPNN, RFdiffusion, BoltzGen), and comfort working with biologists.
• A track record of taking models from research to production, with measurable gains in cost, speed or reliability.
• Solid software engineering fundamentals: clean, tested, maintainable code and reproducible pipelines.

Preferred Requirements

• Experience on antibody, nanobody or peptide design programs, or with binding and developability data.
• Experience with workflow orchestration, Kubernetes or cloud GPU infrastructure; early-stage startup experience.
• Experience using Boltz models, or open-source contributions.

We know great people don't always tick every box. If this role excites you and you meet most of the minimum requirements, we'd like to hear from you.

What we offer

• Build the pipelines that design biologics for leading discovery teams.
• Work alongside one of the most talent-dense teams in the field.
• Significant ownership and independence, with responsibility for driving projects from concept to deployment.
• Highly competitive salary with meaningful equity in a public benefit company.
• Benefits:
• 25 days plus bank holidays a year
• Annual team offsite trip
• Private healthcare (BUPA), covering pre-existing conditions
• Pension program
• Paid parental leave
• Wellhub gym membership
• Free lunch every day
• Travel expenses

How we hire

1. Initial screen with a member of the Talent team
2. Technical interview
3. Onsite in London or virtual onsite with the team
4. Offer + Onboarding

Our commitment

Boltz is committed to building a diverse team and an inclusive workplace. We welcome applicants of all backgrounds. If you need any adjustments during the hiring process, tell us at [email] and we'll make it work.