Google DeepMind · Mountain View
Research Engineer, Post-Training for Code Security Analysis
11/18/2025
Description
In this role, you'll work with a team of elite researchers and engineers to design and implement post-training strategies that enhance Gemini’s 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 system's 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 model’s ability to reason about control flow, memory safety, and software weakness.
Qualifications
- BSc, MSc or PhD/DPhil degree in computer science, stats, machine learning or similar experience working in industry
- Deep understanding of statistics is strongly preferred
- Experiences in fine-tuning and adaptation of LLMs (e.g. advanced prompting, supervised fine-tuning, RLHF)
- Strong knowledge of systems design and data structures
- Proven experience with TensorFlow, JAX, PyTorch, or similar leading deep learning frameworks
- Recent experience conducting applied research to improve the quality and training/serving efficiency of large transformer-based models
- A passion for Artificial Intelligence.
- Excellent communication skills and proven interpersonal skills, with a track record of effective collaboration with cross-functional teams
Benefits
The US base salary range for this full-time position is between $141,000 - $291,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.