Machine Learning Researcher (Generative Modeling)

Location: London, United Kingdom; hybrid

Company

hirify.global applies generative machine learning models to synthetic biology, protein design, and disease treatment.

What you will do

• Architect and prototype generative machine learning models for designing functional proteins.
• Curate training and evaluation data, build scalable deep learning data pipelines, and define metrics aligned with real-world outcomes.
• Optimize model training and inference speed across cloud hardware and accelerators.
• Collaborate with research scientists, engineers, protein designers, and biologists in a shared codebase.
• Plan wet lab testing campaigns, run inference against biological targets, and incorporate experimental feedback into models.
• Maintain compute and machine learning development infrastructure.

Requirements

• Strong machine learning research background with significant generative modeling experience.
• Experience developing robust, tested, maintainable machine learning code and using version control and code review systems.
• Experience training and running inference on cloud hardware and parallelizing data and models across accelerators.
• Experience building data pipelines for training and evaluating deep learning models.
• Experience in computational biology, protein design, or machine learning-driven biology projects.
• Academic training in physics, biology, chemistry, or a related natural science.

Culture & Benefits

• Private health insurance.
• Pension or 401(k) contributions.
• Generous leave policies, including gender-neutral parental leave.
• Hybrid working and travel opportunities.
• Approximately 90% of time focused on building machine learning models and 10% on self-development, knowledge sharing, and conferences.