Software Engineer

We are hiring a Software Engineer / Developer (ML Infrastructure) to join Meta’s Infrastructure team in Cambridge, UK.

This is a unique opportunity to work closely with world-class research teams and build the ML tooling and infrastructure that powers next-generation AI capabilities in consumer devices.

This is a hands-on engineering role, focused on Python, machine learning systems, and distributed infrastructure, with direct impact on cutting-edge research in the audio and multimodal ML space.

Contract Duration: 12 months

What You Will Do

• Design, build, and maintain ML pipelines and tooling in Python
• Support research teams with distributed compute and large-scale data workflows
• Debug and improve complex infrastructure systems
• Write clean, maintainable, production-grade code
• Collaborate closely with researchers and infra engineers in a fast-paced environment

Must-Have Skills

• 4+ years of experience as an engineer or developer
• Strong hands-on experience with Python
• Practical experience with machine learning systems
• Experience with PyTorch or TensorFlow
• Strong ownership mindset and ability to build systems end-to-end

Nice to Have

• Experience working with audio, vision, or multimodal data
• Exposure to AR/VR or research environments
• Experience building tooling for research users

Why Join Meta?

• Work closely with world-class researchers on advanced AI systems
• Build tooling that will unlock the next generation of AI capabilities
• Access to excellent onsite facilities in Cambridge, including daily free meals
• High-impact role within Meta’s Infrastructure team

If you are interested or would like to learn more, please apply or reach out directly.

• 4+ years of experience as an engineer or developer
• Strong hands-on experience with Python
• Practical experience with machine learning systems
• Experience with PyTorch or TensorFlow
• Strong ownership mindset and ability to build systems end-to-end

Nice to Have

• Experience working with audio, vision, or multimodal data
• Exposure to AR/VR or research environments
• Experience building tooling for research users