Senior Machine Learning Engineer
- Work on complex R&D projects, with a diverse group of engineers, to achieve ambitious goals.
- Stay current with the latest developments in Machine learning.
- Execute high-impact projects to ensure team success.
- Work collaboratively across departments and mentor team members (where appropriate).
- Demonstrated experience in collaboratively pursuing ambitious R&D agendas.
- Precise attention to detail, but is also aware of how the big picture relates to company goals, and where the field of Machine Learning is headed towards.
- Understanding of the modern Machine Learning stack, for example:
- Knowledge of contemporary transformer architectures (e.g., GQA, KV-caching) and best practices.
- Experience in distributed training techniques.
- Familiarity with optimisation strategies for model inference (e.g., dynamic batching, flash attention, speculative decoding). - With preferred backgrounds covering some of the following:
- Publications in top-tier conferences.
- Contributions to popular open-source repositories.
- Technical writing skills as evidenced by relevant publications or blogs.
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