Job description

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. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. AI’s cyberattack capability is increasing rapidly and it is becoming important to address the emerging challenges for Code Security. To address this, we recently announced and released Gemini Flash 3.5 Cyber and CodeMender. A capable cybersecurity model, combined with a sophisticated harness enables defenders to find and fix high severity vulnerabilities before malicious actors do. In this role, you will work at the intersection of research and engineering to advance the capabilities of Gemini and CodeMender in autonomous vulnerability discovery and fixing. Together, you will apply ML and cybersecurity knowledge to make software more secure, building both research prototypes and robust, scalable infrastructure. Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. 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 Learn more about benefits at Google . • Contribute to Gemini Cyber, collaborating across organizations to build high-quality training recipes, cybersecurity datasets, benchmarks, and evaluation platforms for vulnerability finding and fixing. • Build datasets (RL environments, SFT data) and iterate on post-training recipes. • Integrate novel ML and agentic techniques into research prototypes. • Build evaluation pipelines, benchmarks, and leaderboards to rigorously measure agent performance. • Optimize system performance, latency, and resource utilization for serving large models. • Bachelor's degree in Computer Science, or a related technical field, or equivalent practical experience. • 5 years of experience with large language models (LLM), including pre-training or fine-tuning. Minimum qualifications: • Bachelor's degree in Computer Science, or a related technical field, or equivalent practical experience. • 5 years of experience with large language models (LLM), including pre-training or fine-tuning. Preferred qualifications: • Experience with Cyber Security (in particular, application security and vulnerability research). • Experience with running large-scale data processing pipelines. • Experience collaborating on or leading applied research projects.

Requirements

Must-haves

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.
Learn more about benefits at Google .
Contribute to Gemini Cyber, collaborating across organizations to build high-quality training recipes, cybersecurity datasets, benchmarks, and evaluation platforms for vulnerability finding and fixing.
Build datasets (RL environments, SFT data) and iterate on post-training recipes.
Integrate novel ML and agentic techniques into research prototypes.
Build evaluation pipelines, benchmarks, and leaderboards to rigorously measure agent performance.
Optimize system performance, latency, and resource utilization for serving large models.
Bachelor's degree in Computer Science, or a related technical field, or equivalent practical experience.
5 years of experience with large language models (LLM), including pre-training or fine-tuning.
Bachelor's degree in Computer Science, or a related technical field, or equivalent practical experience.
5 years of experience with large language models (LLM), including pre-training or fine-tuning.

Nice-to-haves

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Experience with Cyber Security (in particular, application security and vulnerability research).
Experience with running large-scale data processing pipelines.
Experience collaborating on or leading applied research projects.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlllm

Platform: google
Effort: medium