Software Engineer

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