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• Research and develop novel methods to push the frontier of large language models

• Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)

• Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale

• Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact

• You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)

• You have hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes)

• You have high engineering competence. This means being able to design complex software and make it usable in production

• You are a self-starter, autonomous and a team player

• You have hands-on experience with training large transformer models in a distributed fashion

• You are able to navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment

• You have a strong publication record in a relevant scientific domain