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Senior Software Machine Learning Engineer - DeepMind
ML Engineer
Lead the design and production of advanced AI systems, leveraging Python, C++, and cutting‑edge ML techniques such as generative AI, large language models, and reinforcement learning to deliver scalable, high‑impact solutions.
About the role
Key Responsibilities
- Architect, develop, and deploy production‑grade machine learning models, focusing on generative AI, large language models, and reinforcement learning.
- Collaborate with cross‑functional teams to translate research prototypes into scalable, maintainable codebases.
- Optimize model performance and inference latency using C++ and Python, ensuring robust integration with existing infrastructure.
- Design and maintain data pipelines, experiment tracking, and model monitoring systems.
- Mentor junior engineers and contribute to best‑practice guidelines for ML engineering.
Requirements
- 5+ years of experience in software or machine learning engineering.
- Proficiency in Python and C++ with a strong understanding of performance optimization.
- Hands‑on experience with generative AI, large language modeling, reinforcement learning, or recommendation systems.
- Strong problem‑solving skills and a track record of delivering production‑ready ML solutions.
- Excellent communication skills and ability to work in a fast‑paced, collaborative environment.
Skills
pythoncmachine learninggenerative aireinforcement learning