- Bachelor's degree or equivalent practical experience.
- 7 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
- 7 years of experience managing projects and defining project scope, goals, and deliverables.
- 5 years of experience managing teams with performance management, mentorship, and coaching of team members.
- Master’s or Ph.D. degree in a quantitative discipline (e.g. Computer Science, Statistics, Mathematics, Operations Research etc.).
- Experience with prompt engineering and fine-tuning LLMs.
- Excellent written, verbal, and presentation skills to effectively communicate with a variety of stakeholders, including executive leadership.
- Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
The AI Safety Protections team uses cutting-edge, AI/LLM solutions to develop the next generation of foundational models and ensuring safety alignment, including Gemini, NanoBanana, Veo, and Robotics. We are a team of dedicated data science and machine learning experts focusing on:
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Developing introspection heads/classifiers embedded within the Gemini transformer architecture (or diffusion latents) to steer model responses to safe directions.
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Post-training for foundational models (Gemini, GemPix, and Veo). This includes Gemini Domains (e.g., Health, Mental Health, Financial Advice), frontier safety, elections, as well as post-training for GemPix and Veo text station, image station and video station.
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Building LLM-based safeguards (Grail) to protect model outputs.
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Generating log-based insights and defining critical model metrics.
In this role, you will apply the latest advancements in AI, collaborating with experts and leadership across Google DeepMind, Core, and Trust and Safety to develop state-of-the-art model mitigations that protect users worldwide.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $188000 - $275000 (USD) + 20% bonus target + bonus + equity + benefits
Learn more about benefits at Google.
- Lead and scale a team of engineering analysts focused on Veo and Robotics; develop the next wave of leaders through technical mentorship and strategic guidance.
- Pioneer the use of advanced technology (Introspection, supervised fine tuning, direct preference optimization, develop encoder systems etc.) and build Google's next generation foundational models.
- Drive cross-functional alignment across Google DeepMind (GDM), Trust & Safety stakeholders, and lead executive communications, design and metrics reviews.
- Direct the strategy for high-stakes foundational model launches (Veo, Robotics, GenieVeo etc.).
- Apply rigorous statistical and data science methodologies to audit model safety and uncover vulnerabilities, ensure continuous security enhancement through actionable insights.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
