Staff Machine Learning Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Staff Machine Learning Software Engineer (AI/Research): Building and optimizing an AI-driven simulation software stack for engineering and manufacturing with an accent on scalable ML models and distributed training architectures. Focus on translating research results into reusable libraries and guiding the technical direction of the Research group.
Location: Hybrid (London, United Kingdom)
Company
is a deep-tech company building AI-driven simulation software for hardware innovation in industries such as Aerospace, Energy, and Automotive.
What you will do
- Shape Research group strategy, focusing on scaled engineering, infrastructure stacks, and compute resources.
- Own high-level Research work-streams, aligning priorities with stakeholders and defining technical roadmaps.
- Design and optimize scalable ML models to solve real-world physics and engineering problems.
- Implement distributed training architectures (data parallelism, parameter servers) using cloud and on-premise services.
- Translate research prototypes into robust, reusable libraries, tooling, and production-ready products.
- Mentor junior colleagues and foster a productive, collaborative engineering environment.
Requirements
- MSc or PhD in Computer Science, ML, Physics, Engineering, or a related field.
- 4+ years of professional industry experience scaling and optimizing ML/foundation models.
- Expertise in distributed computing (Spark, Dask) and HPC frameworks (MPI, CUDA, Triton).
- Proficiency in Python (PyTorch, JAX, NumPy, Pandas) and C++ for scientific computing.
- Experience with cloud platforms (AWS, Azure, GCP) and orchestration tools (Docker, Kubernetes, Slurm).
- Must be based in or able to work from the London office (Hybrid).
Culture & Benefits
- Equity options and a 10% employer pension contribution.
- Hybrid work model blending time in the Shoreditch office with work-from-home days.
- Private medical insurance with 100% employee cover.
- Enhanced parental leave (3 months full pay paternity / 6 months maternity) and nursery scheme.
- 25 days of annual leave plus public holidays and free office lunches.
- Wellhub subscription, personal development support, and EAP wellbeing support.
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