Senior Machine Learning Engineer, Foundation Models

Google DeepMind is at the forefront of developing and deploying cutting-edge AI technologies. We are looking for a Senior Machine Learning Engineer to contribute to the development of our foundational models. You will be instrumental in designing, building, and scaling large-scale ML systems, from initial research and prototyping to production deployment. This role involves deep collaboration with researchers and engineers to translate state-of-the-art AI advancements into robust and efficient systems. **Responsibilities:** - Design, implement, and optimize large-scale machine learning systems and infrastructure for foundation models. - Develop and refine training pipelines, evaluation frameworks, and deployment strategies. - Collaborate with research scientists to bring novel ML algorithms and architectures into production. - Troubleshoot and resolve complex technical challenges in ML systems. - Mentor junior engineers and contribute to best practices in ML engineering. - Stay abreast of the latest research and industry trends in large language models and generative AI. **Requirements:** - Master's or PhD in Computer Science, Machine Learning, or a related quantitative field, or equivalent practical experience. - 5+ years of experience in machine learning engineering, with a focus on large-scale systems. - Strong programming skills in Python and proficiency with ML frameworks like TensorFlow or PyTorch. - Experience with distributed training, model optimization, and MLOps. - Deep understanding of foundation models, including LLMs and diffusion models. - Excellent problem-solving and debugging skills. **Benefits:** - Highly competitive salary, bonus, and stock grants. - World-class health, dental, and vision benefits. - Generous paid time off and parental leave. - Opportunities for professional development and impact on global AI research.