Applied Machine Learning Scientist Manager, NanoBanana, Gemini, Veo

Applied Machine Learning Scientist Manager, NanoBanana, Gemini, Veo Google, Sunnyvale, CA, USA Qualifications Bachelor's degree or equivalent practical experience. 8 years of experience in data science or machine learning. 8 years of experience in data analysis using SQL and scripting languages (e.g., Python). 5 years of experience in technical leadership or people management. Preferred Qualifications Experience applying machine learning/large language models (LLMs) in industry settings. Experience with prompt engineering and fine-tuning LLMs. Excellent written, verbal, and presentation skills to effectively communicate with a variety of executive level stakeholders. Excellent problem-solving and critical thinking skills with an interest in new technology in an ever-changing environment. Job Description In this role, you will apply the latest advancements in AI, collaborating with experts and leadership across DeepMind, Core, and Trust and Safety to develop model mitigations that protect users worldwide. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Responsibilities Lead and scale a team of engineering analysts focused on introspection and post-training; develop the next wave of leaders through technical mentorship and guidance. Pioneer the use of technology (introspection, supervised fine tuning, direct preference optimization, develop encoder systems, etc.) and design safety mitigations architectures. Drive cross-functional alignment across DeepMind and Trust and Safety stakeholders, and lead executive communications, design, and metrics reviews. Direct the strategy for foundational model launches (e.g., Gemini, GemPix, Veo, etc.). Apply statistical and data science methodologies to audit model safety and uncover vulnerabilities, ensuring continuous security enhancement through insights. Work with sensitive content or situations, with possible exposure to graphic, controversial, or upsetting topics or content. Benefits US: $236000 - $330000 (USD) + 25% bonus target + equity + benefits Learn more about benefits at Google. 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. #J-18808-Ljbffr Google Inc.