ML Engineer for Genomics & Biofactories — Production Systems

Constructive Bio; Cambridgeshire and Peterborough; On-site; GBP 50,000 - 70,000; Full time

Benefits offered by this job

Employee share option plan

Private health insurance

Pension plan (matching up to 8%)

On-site parking

Job summary

A VC-backed biotechnology startup is looking for an ML engineer to develop production systems that bridge biology and machine learning. You'll implement state-of-the-art models, design experimentation infrastructures, and refine processes in a collaborative environment. The ideal candidate has a BSc or MSc in an engineering field, solid ML experience, and a deep curiosity about biology. This is an exciting opportunity to shape the future of synthetic genomics and work closely with experimental scientists.

Qualifications

• Demonstrated ML research and development experience.
• Comfortable explaining technical tradeoffs to non-ML collaborators.
• Experience in computational biology, particularly with genomic models.

Responsibilities

• Implement and benchmark state-of-the-art sequence models.
• Build robust experimentation infrastructure.
• Refactor research code into clean, manageable systems.

Skills

Production experience with PyTorch

Strong communication skills

Algorithms and data structures

Curiosity about biology

Education

BSc or MSc in engineering

Tools

Hugging Face libraries

Job description

A VC-backed biotechnology startup is looking for an ML engineer to develop production systems that bridge biology and machine learning. You'll implement state-of-the-art models, design experimentation infrastructures, and refine processes in a collaborative environment. The ideal candidate has a BSc or MSc in an engineering field, solid ML experience, and a deep curiosity about biology. This is an exciting opportunity to shape the future of synthetic genomics and work closely with experimental scientists.