Research Engineer, Gemini Code Post-training, DeepMind

Google DeepMind - Mountain View, CA

Hiring: Research Engineer, Gemini Code Post-training, DeepMind Company: Google DeepMind Location: Mountain View, CA Job Posted Time: 2026-09-12 11:02:08 Target Skills & Keywords : AI, Embedded Systems, Fine-tuning, LLM, Machine Learning, NLP, PyTorch, Reinforcement Learning, TensorFlow About the job Experience: •5 years of experience in software engineering or research developing machine learning models with frameworks such as JAX, PyTorch, or TensorFlow. Required Skills: •Learn more about benefits at Google . •Drive post-training research and engineering using reinforcement learning (RL) and supervised fine-tuning (SFT) to advance Gemini coding capabilities across web, 3D, game, and mobile development. •Develop and scale agentic post-training pipelines and landing recipes in collaboration with Operations Research (OR) teams to establish industry-leading benchmark performance in Code Arena. •Design, build, and maintain frontier evaluation suites and automated benchmarks to measure, stress-test, and improve agentic coding capabilities. •Implement training infrastructure, reward models, and data curation workflows to accelerate iterative model improvements from revision to revision. Qualifications: •Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent practical experience. •At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. •We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. •Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Compensation: •US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!