Research Engineer, Gemini Cyber Post-Training, DeepMind

Google LLC; Mountain View, New York (CA, NY); Presencial; USD 147.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity

Bonus target

Benefits

Descripción de la vacante

Google is seeking a Research Engineer for the Gemini Cyber Post-Training team. The role focuses on advancing vulnerability discovery through post-training recipes, RL datasets, and scalable evaluation pipelines.

You will collaborate with DeepMind and internal research programs to push AI safety and security forward. Ideal candidates have a PhD or equivalent experience, at least two years in RL, and publications in vulnerability research.

Formación

• PhD or equivalent practical experience in CS or related field.
• 2 years of RL experience in industry or academia.
• Publications in vulnerability research (auditing/reverse engineering/exploitation).

Responsabilidades

• Build datasets (RL environments, SFT data) and iterate on post-training recipes.
• Debug and analyze RL training runs to identify bottlenecks and optimize training.
• Build evaluation pipelines, benchmarks, and leaderboards to measure agent performance.

Conocimientos

Reinforcement Learning

Machine Learning

Publications in vulnerability research

Educación

PhD in Computer Science or related field, or equivalent experience

Descripción del empleo

Research Engineer, Gemini Cyber Post-Training, DeepMind

X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.

• PhD degree in Computer Science, or a related field, or equivalent practical experience.
• 2 years of experience (industry or academia) working in Reinforcement Learning environments.
• One or more publication records in vulnerability research (e.g. auditing, reverse engineering, exploitation).

Preferred qualifications:

• Experience with program analysis techniques (e.g., static analysis, symbolic execution, fuzzing).
• Background in machine learning and statistics.
• Independent, proactive attitude and a passion for the mission of AI safety and security.

About the job

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.

As a Research Engineer in the Cyber Gemini team, you will play a key role in both advancing our research capabilities and building the scalable infrastructure needed to support them. You will work on both the underlying cybersecurity models and custom orchestration harnesses, such as the skills and custom agent loops used for vulnerability verification. You will develop novel datasets and post-training recipes to enable Gemini to become more capable at vulnerability discovery, as well as evaluation datasets to measure the capabilities of our models.

As part of this role, you will also work closely with DeepMind's new Cyber Strike initiative, a high-profile, cross-organizational effort to build cybersecurity models to secure software and enterprise systems at scale. You will actively participate in the finding, fixing, and exploit tracks, curating datasets, building agentic evaluation benchmarks, and integrating CodeMender's vulnerability discovery and patching capabilities into the core Cyber Strike model.

Artificial intelligence will be one of humanity’s most transformative inventions. At 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 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: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

• Build datasets (RL environments, SFT data) and iterate on post-training recipes.
• Debug and analyze RL training runs to identify potential bottlenecks and optimize training efficiency and effectiveness.
• Build evaluation pipelines, benchmarks, and leaderboards to measure agent performance.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.