Hiring: Research Engineer, Advancing Agent Quality, DeepMind Company: Google DeepMind Location: Mountain View, CA Job Posted Time: 2026-09-15 11:02:08 Target Skills & Keywords : AI, Deep Learning, Embedded Systems, Machine Learning, NLP, PyTorch, Python, Reinforcement Learning, Spark, TensorFlow About the job Experience: •2 years of experience with agentic AI workflows, frameworks, and approaches. •1 year of experience with machine learning and deep learning. Required Skills: •Learn more about benefits at Google . •Design, build, and scale realistic agent environments and task suites. Research and develop Agentic AutoRaters (AR), calibrate them against human evaluation, and benchmark agent capabilities against industry-leading frontier models. •Enable agents to automatically generate and iterate on verifiers (such as automated test cases), facilitating effective exploration and iterative problem-solving. •Develop trajectory analysis frameworks and diagnostic tooling to identify root-cause agent failure modes (e.g., passivity, hallucination, or brittle tool execution), and automatically optimize agent harnesses to drive continuous self-improvement. •Harvest complex multi-turn interaction trajectories into high-quality datasets and reward signals to power SFT and RL flywheels for frontier Gemini models. Qualifications: •Experienece in software engineering and cloud-based development. •In-depth knowledge of machine learning algorithms, including supervised learning and reinforcement learning. •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. •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!