We want to make investments in growing our London presence to tap into the talent pool outside North America and establish close partnerships with GenAI and RecSys teams there. Currently, we have a small team in London (Feature Store) and are bootstrapping a new multi-disciplinary team with expertise in Distributed Systems, Performance Engineering, and domain-specific knowledge (ML Systems, MLEs) to work on a high-visibility project: building a heterogeneous workload optimization engine on top of the Monarch Single Controller framework. As we expand our AI Infra presence in London, we plan to move additional project work there.
Responsibilities
1. Build, manage, and support diverse teams of software engineers and engineering managers.
2. Handle dependencies, partnerships, and customer relationships effectively.
3. Provide technical and organizational leadership.
4. Form cross-functional and cross-discipline partnerships to drive engineering efforts.
5. Establish and execute effective strategies.
6. Uphold a culture of respect, integrity, inclusion, and innovation.
Minimum Qualifications
* Experience building and supporting large-scale distributed systems.
* Significant industry technical experience.
* Experience recruiting, structuring, leading technical organizations, including performance management.
Preferred Qualifications
* Familiarity with Machine Learning.
* Experience with HPC.
* Experience building AI infrastructure systems at scale.
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