Hiring: Research Engineer, GenAI, Info Task, DeepMind Company: Google DeepMind Location: Cambridge, MA Job Posted Time: 2026-09-15 11:02:08 Target Skills & Keywords : AI, C++, Embedded Systems, LLM, Large Language Model, Machine Learning, NLP, PyTorch, Python, TensorFlow About the job Experience: •3 years of experience with software development in Python or C++. •2 years of experience designing benchmark suites and advancing model quality. Required Skills: •Learn more about benefits at Google . •Build rigorous evaluations to systematically measure model performance across various workloads and drive continuous quality hillclimbing. •Develop modular, adaptable solutions that enable seamless integration across multiple Google product areas. •Collaborate cross-functionally with Eng, PM, and Data Science partners to translate product requirements and feedback into model quality improvements. Qualifications: •Bachelor's degree in Computer Science, Machine Learning, a related technical field, or equivalent practical experience. •Advanced degree (Master's or PhD) in Machine Learning, Computer Science, or a related technical field. •Strong cross-functional leadership and communication skills to effectively work across engineering, research, and product teams. •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 varied learning opportunities and 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. •US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits 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!