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 in Computer Science or related field, or equivalent work experience.
* 4+ years industry experience with deep learning frameworks in Python, such as PyTorch or TensorFlow.
* 2+ years industry experience working with large, complex data sets for machine learning, including capture and annotation.
* Demonstrated experience implementing and evaluating working and end-to-end prototypical learning systems.
* Experience working with high performance or distributed compute solutions.
* Deployment and continuous integration experience.
Preferred Qualifications
* Familiarity with Machine Learning for Audio, multimodal or DSP purposes
* Experience writing scalable ML tooling/pipelines for use by researchers
* Experience in Linux or Windows shell scripting
* Ability to gather requirements and work closely with researchers to develop novel solutions
* History of writing code to support the execution of research initiatives
Top 3 must-have HARD skills
* We\'re looking for Python and infrastructure focused software engineers
* PyTorch or similar AI/ML engines
* Distributed infrastructure
Good to have skills
* Working with complex, real-world multimodal data
* Audio
* Collaboration with research users/customers to deliver robust and stable tooling to address their needs
Benefits
* Healthcare contribution and inclusion in company pension scheme
* Work laptop and phone
* 25 days annual leave (pro-rata) plus paid bank holidays
* Expanding workforce with potential for career progression for top performers
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