Software Engineer, AI Engineer, Machine Learning/ ML Engineer
Job in
Greater London, London, Greater London, W1B, England, UK
Listing for:
Meta
Full Time
position
Listed on 2026-03-08
Job specializations:
-
Software Development
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Software Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 GBP Yearly
GBP
100000.00
125000.00
YEAR
Job Description & How to Apply Below
Location: Greater LondonSummary
Meta is seeking a Software Engineer to join our team. The ideal candidate is someone with experience working on maximizing performance of AI models on GPUs or custom silicon. This role involves applying these skills to solve some of the most crucial and exciting problems that exist on the web. The AI Applications Engineering team is dedicated to maximizing training and inference performance of Generative AI (GenAI) and Recommendation models on Meta's Training and Inference Accelerator (MTIA).
We employ innovative optimization and parallelization strategies to maximize training throughput for the next generations of GenAI and recommendation models. Additionally, we work cross-functionally with many partner teams to ensure end-to-end performance of large-scale pre-training and inference, enabling us to deliver the next generation of AI experiences more quickly to our users.
Software Engineer Responsibilities
Work cross-functionally to co-design models to maximize pre-training and inference efficiencyApplying and driving state-of-the-art optimization techniques to our latest large-scale AI workloads running on Meta’s fleet of accelerators including functional development and maintenanceProfiling, analyzing, debugging, and optimizing large-scale workloads on our next-generation training superclustersOptimization of the underlying processes of the whole vertical stack, from kernels, framework, communication, and firmware to layers and hyperparametersSet direction and goals for the team related to project impact, capacity, and developer efficiencyLead large and complex technical efforts across many engineers and teams from zero to oneMinimum Qualifications
Bachelor’s degree in computer science or a related STEM fieldExperience programming AI accelerators (e.g. GPUs, custom silicon etc.) using AI frameworks such as PyTorch or similarExperience developing custom kernels and compiler infrastructure to improve performance using low-level programming models such as CUDA, OpenCL or similarMinimum 6+ years of experience developing and optimizing performance in modern C/C++Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employmentPreferred Qualifications
Experience with training and validating large-scale AI models, including parallelising models across several acceleratorsUnderstanding of multiprocessing, including race conditions and communications between processesExperience of evaluating model performance, e.g., with profilers and tuning hyperparametersThorough understanding of model and data parallelisms such as FSDP, tensor parallelism, model parallelism, expert parallelism, etcDemonstrated experience of the model life cycle from pre-training and post-training to inference, dataset splits and shuffling, metrics, especially for large language modelsExperience of developing, optimizing and validating kernels on GPUs or other acceleratorsIndustry
Internet
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