Job Description
Cambridge, United Kingdom | Posted on 01/21/2026
Location - Hybrid , Cambridge (3 days in office)
Responsibilities
- Create robust, flexible and scalable ML tooling and infrastructure which supports research scientists to leverage Meta’s powerful infrastructure (through e.g. source control, distributed compute clusters, data storage)
- Work collaboratively as part of a multifunctional team where communication, documentation and teamwork are highly valued
- Write clean, maintainable code, debug complex problems that span systems, prioritize ruthlessly and get things done with a high level of efficiency
- Coordinate with a large set of internal infrastructure and tool teams across the lab and across Meta to evaluate and integrate with existing systems
- Learn constantly, dive into new areas with unfamiliar technologies, and embrace the ambiguity of AR/VR problem solving
Requirements
- Bachelor's degree ...
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