Job Level
Mid-LevelSenior
Tech Stack
Distributed SystemsGoJavaKubernetesPythonPyTorchRayRust
About the role
- 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
Requirements
- An expert in speech input/output methodologies (specific to audio)
- 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
- Ideal: You have experience working with large-scale speech-language models
- Ideal: You have hands-on experience with training large transformer models in a distributed fashion
- Ideal: You can navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment
- Ideal: You have a strong publication record in a relevant scientific domain