Member of Technical Staff, Applied AI
AI summary of the role
This role bridges frontier generative models and pharma/biotech customers, requiring deep ML expertise to deploy, adapt, and optimise models in production environments.
What you’ll do
- Develop deep understanding of proprietary generative models and deploy them into customer environments.
- Drive end-to-end technical deployment of models, designing production-grade API integrations and model-serving infrastructure.
- Adapt and fine-tune models to meet specific customer requirements, ensuring scientific rigour.
- Build ML data pipelines for customer-specific inference, evaluation, and feedback workflows.
What you’ll bring
- Strong ML researcher with experience in generative modelling and notable projects (publications at NeurIPS, ICML, ICLR, Nature, or open-source contributions).
- Skilful ML developer with robust, tested code; experience with version control, code review, and building systems serving large models via APIs.
- Customer-facing and delivery-oriented, able to translate complex technical concepts for scientific and non-technical stakeholders.
- Deep understanding of generative model architectures, training dynamics, inference behaviour, and ML-hardware interplay.
Technologies
generative modelling · model serving · API integrations · cloud hardware · accelerators · fine-tuning · ML data pipelines · inference optimization · version control · code review
About Latent Labs
Generative AI platform licensing frontier biology models to pharma/biotech for designing novel therapeutic proteins without iteration.
Series A · 10–50 people
Source and classification
Production engineering · Evidence for this classification:
Member of Technical Staff, Applied AI The opportunity We are looking for a Member of Technical Staff with deep expertise in generative modelling to work at the interface between our frontier models and the customers who depend on them. You will join an interdisciplinary team of machine learners, protein engineers and biologists, jointly working to change the way that we control biology and cure diseases. In your role you will develop an in-depth understanding of our proprietary generative models and apply that knowledge to deploy, adapt and optimise them within customer environments - particularly in the pharmaceutical and biotech sectors. This is a hybrid role. You will need a researcher’s depth of understanding of our models, combined with the pragmatism and communication skills to translate that understanding into production systems that deliver scientific value for our partners.
More from the job description
Member of Technical Staff, Applied AI The opportunity We are looking for a Member of Technical Staff with deep expertise in generative modelling to work at the interface between our frontier models and the customers who depend on them. You will join an interdisciplinary team of machine learners, protein engineers and biologists, jointly working to change the way that we control biology and cure diseases. In your role you will develop an in-depth understanding of our proprietary generative models and apply that knowledge to deploy, adapt and optimise them within customer environments - particularly in the pharmaceutical and biotech sectors. This is a hybrid role. You will need a researcher’s depth of understanding of our models, combined with the pragmatism and communication skills to translate that understanding into production systems that deliver scientific value for our partners. Who we are At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind’s Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and b [... source excerpt omitted ...] e that is robust, tested and easy to maintain. You have experience using version control and code review systems. You are a fast prototyper and hacker who can also write beautiful production code. You have experience building systems that serve large models via APIs and running inference on cloud hardware, parallelising data and models across accelerators. You are customer-facing and delivery-oriented. You thrive in environments where customer success is the primary measure of your work. You can translate complex technical concepts into clear language for scientific and non-technical stakeholders alike. You are passionate about model performance. You have an detailed understandin [... source excerpt omitted ...] yments are performant, cost-effective and reliable. You are mission driven and curious. You are passionate about making a positive impact on the world, whether it’s for patients, customers or beyond. You are motivated by the end goal and are flexible in adapting to different approaches and methodologies. You are curious about problems, however small or big they appear. You thrive in a dynamic environment where you must context-switch between deep technical work and customer-facing engagements. What sets you apart (preferred, not required) You have experience in computational biology or protein design. You have worked on ML-driven projects in biology and understand the unique d
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