Senior Software Engineer (LLM Engineering), London
Isomorphic Labs is seeking a Senior Software Engineer specializing in Large Language Model (LLM) Engineering to join their London team. The company, launched in 2021, focuses on advancing human health by building upon the Nobel-winning AlphaFold system. Their interdisciplinary team of drug discovery experts and machine learning specialists aims to accelerate scientific discovery through AI-driven solutions.
In this role, the engineer will be responsible for architecting and implementing systems that integrate LLMs into scientific and business processes. This includes designing scalable, secure, and user-friendly infrastructure for generative AI, even when no pre-existing blueprint exists. The engineer will collaborate closely with research and applied machine learning teams to ensure the reliability and scalability of AI tools.
Candidates should possess strong coding skills in Python, with a focus on production-grade, maintainable systems. Experience in system design, particularly in cloud environments like Google Cloud Platform (GCP), is essential. A deep understanding of LLM internals, including training processes and inherent limitations, is crucial. Familiarity with LLM serving stacks, such as vLLM, and experience with machine learning systems evaluation are also important.
While specific compensation details are not provided, Isomorphic Labs offers a hybrid working model, requiring in-person presence in the London office three days a week. This approach fosters collaboration and knowledge sharing among team members.
Isomorphic Labs is guided by values of thoughtfulness, bravery, determination, and collaboration. The company emphasizes a culture of curiosity, creativity, and care, encouraging employees to engage in rigorous and future-making science daily. They seek individuals who are fearless, initiative-driven, and possess integrity to tackle the challenges in drug discovery. The company values diverse experiences and perspectives, aiming to create an extraordinary impact through collaboration and shared learning.