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Member of Technical Staff

Latent Labs· Foundation Models
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Hybrid (London)Full-timePosted 10mo ago

About the role

Machine learning researcher role focused on generative modeling to design new proteins with functional wet-lab assays, within an interdisciplinary team spanning ML, protein engineering and biology.

Responsibilities

  • Build machine learning models that work in the physical world: curate training/evaluation data, propose and build ML evaluation metrics aligned with real-world success and company goals, quickly prototype generative models against lead metrics, collaborate in a joint codebase with researchers/engineers/protein designers, maintain compute/ML development infrastructure, collaborate with the bio team to plan wet lab testing campaigns and run model inferences against biological targets, learn from wet lab results and feedback data to models.
  • Self development: stay updated on ML developments, gain understanding of protein and cell biology, participate in knowledge sharing, attend and present at conferences.

Qualifications

  • You are a strong ML researcher with experience in generative modeling.
  • You have led or worked on notable machine learning projects with contributions to open source libraries, significant product launches or high impact publications (e.g., NeurIPS, ICML, ICLR, Nature).
  • You have proven deep expertise in generative modeling.
  • You are a skillful ML developer with robust, tested code, experience with version control, fast prototyping and production coding, and experience running training/inference on cloud hardware.
  • You are a data engineer with experience building ML data pipelines, data analysis for raw data, dataset splits and scalable pipelines.
  • You are passionate about model performance and optimizing DL models for training/inference speed, with knowledge of best practices in model architecture.
  • You thrive in a dynamic, mission-driven environment and are curious about problems of any size.

Skills

Required:Generative modelingMachine learning developmentData engineering for ML

Benefits

  • Private health insurance
  • Pension/401(K) contributions
  • Generous leave policies (including gender neutral parental leave)
  • Hybrid working
  • Travel opportunities and more
Last updated Aug 5, 2026. Interested? Apply on the company site.

About Latent Labs

Frontier models for all molecules of life

We are making biology programmable to transform health and sustainability for the benefit of all. We build generative models that capture the fundamentals of biology, empowering partners with breakthrough AI to create antibodies, optimize enzymes, and advance genetic engineering.

BiologyAIGenomicsProtein DesignGenetic EngineeringMachine Learning
Company profileWebsite

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