Research Engineer, Post-Training for Code Security Analysis at DeepMind

About UsArtificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were a team of scientists engineers machine learning experts and more working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery and collaborate with others on critical challenges ensuring safety and ethics are the highest priority.The RoleIn this role youll work with a team of elite researchers and engineers to design and implement post-training strategies that enhance Geminis capabilities in code security analysis. You will bring contributions to our ML innovation post-training refinement (SFT/RLHF) advanced evaluation and data generation to ensure our models can reliably perform safe and powerful code security analysis.Key responsibilities:Design and Implement advanced post-training algorithms (SFT RLHF RLAIF) to optimize Gemini for code security tasks and secure coding practices.Diagnose and interpret training outcomes (regressions in coding ability gains in security reasoning) and propose solutions to improve model capabilities.Actively monitor and evolve the systems performance through metric design.Develop reliable automated evaluation pipelines for code security that are strongly correlated with human security expert judgment.Construct complex benchmarks to probe the limits of the models ability to reason about control flow memory safety and software weakness.About YouWe are seeking individuals who excel in fast-pacing environments and are eager to contribute to the advancement of AI. We highly value the ability to invent novel solutions to complex problems embracing a can-do and fail-fast mindset. We are looking for someone who genuinely believes in the future of AI and is committed to devoting their energy in this field.In order to set you up for success as a Research Engineer at Google DeepMind we look for the following skills and experience:BSc MSc or PhD/DPhil degree in computer science stats machine learning or similar experience working in industryDeep understanding of statistics is strongly preferredExperiences in fine-tuning and adaptation of LLMs (e.g. advanced prompting supervised fine-tuning RLHF)Strong knowledge of systems design and data structuresProven experience with TensorFlow JAX PyTorch or similar leading deep learning frameworksRecent experience conducting applied research to improve the quality and training/serving efficiency of large transformer-based modelsA passion for Artificial Intelligence.Excellent communication skills and proven interpersonal skills with a track record of effective collaboration with cross-functional teamsAt Google DeepMind we value diversity of experience knowledge backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex race religion or belief ethnic or national origin disability age citizenship marital domestic or civil partnership status sexual orientation gender identity pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation please do not hesitate to let us know.The US base salary range for this full-time position is between $141000 - $291000 bonus equity benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.Application Deadline: December 5 2025At Google DeepMind we value diversity of experience knowledge backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex race religion or belief ethnic or national origin disability age citizenship marital domestic or civil partnership status sexual orientation gender identity pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation please do not hesitate to let us know. Key Skills Category Management,Corporate Paralegal,Access Control System,Ftp,Channel Sales,IT System Administration Employment Type : Full Time Experience: years Vacancy: 1 Monthly Salary Salary: 141000 - 291000