← All roles

Member of Technical Staff, Applied AI

Latent Labs· AI Integration
Apply on company site
Hybrid (San Francisco)Full-timePosted 8mo ago

About the role

Senior ML researcher/developer focused on generative modelling to deploy and adapt frontier models for pharmaceutical and biotech customers; hybrid role combining deep model understanding with production-grade deployment and customer-facing responsibilities.

Responsibilities

  • Develop a deep working understanding of our generative models - their architectures, training data, capabilities and limitations.
  • Collaborate in a joint codebase with other research scientists, engineers and protein designers, maintaining highest code standards.
  • Drive end-to-end technical deployment of Latent Labs models into customer environments, designing production-grade API integrations and model-serving infrastructure.
  • Adapt and fine-tune models to meet specific customer requirements, collaborating with the research team to ensure scientific rigour.
  • Build ML data pipelines for customer-specific inference, evaluation and feedback workflows.
  • Ensure deployments meet customer standards for security, performance and reliability.
  • Work embedded with pharmaceutical and biotech partners to scope technical requirements, troubleshoot issues and deliver solutions.
  • Serve as the technical point of contact for assigned customers, building trusted relationships with their scientific and engineering teams.
  • In collaboration with customer biology teams, plan and carry out model inference against biological targets, learn from results, and feed insights back to models.
  • Gather and synthesize customer feedback, translating it into actionable insights for product, research and platform teams.
  • Create technical documentation, integration guides and best-practice resources.
  • Spend time working on-site at international partner locations as needed.
  • Stay updated on ML, model serving and cloud-native tooling; gain understanding of protein and cell biology.
  • Collaborate in a joint codebase with other researchers, engineers and protein designers, maintaining high code standards.
  • Participate in knowledge sharing, e.g. internal reading groups; attend and present at conferences.

Qualifications

  • You are a strong ML researcher with experience in generative modelling. You have worked on notable machine learning projects, as documented by contributions to widely used open source libraries, significant product launches or high impact publications (e.g. NeurIPS, ICML, ICLR, Nature venues). Deep understanding of generative model architectures, training dynamics and inference behaviour.

Skills

Required:Generative modellingProduction-grade ML deploymentCustomer-facing communicationSoftware development

Benefits

  • Private health insurance
  • Pension 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

More open roles at Latent Labs