Senior Staff Engineering Analyst Manager, Gemini, NanoBanana, Veo
- linkCopy link
- emailEmail a friend
Minimum 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:
- Master's degree in a quantitative discipline.
- 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.
About the job
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.The US base salary range for this full-time position is $237,000-$329,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
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.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
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.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.