Senior Staff Research Scientist, Gemini Safety Post-Training, DeepMind

Senior Staff Research Scientist, Gemini Safety Post-Training, DeepMind - Google Careers

Careers

Careers

Skip navigation links

homehome

Home

Home

work_outlinework_outline

Jobs

Jobs

noogler_hatnoogler_hat

Students

Students

googlegoogle

How we work

How we work

handymanhandyman

How we hire

How we hire

person_outlineperson_outline

Your career

Your career

help_outline

Help link

feedback

Send feedback

more_vert

• Help
• Send Feedback

Sign in

Careers

Careers

homeHome

work_outlineJobs

expand_more

noogler_hatStudents

expand_more

googleHow we work

expand_more

handymanHow we hire

expand_more

person_outlineYour career

expand_more

job details

arrow_back

Back to jobs search

Jobs search results

3,410 jobs matched

• Forward Deployed Engineer IV, GenAI, Google Cloud

San Francisco, CA, USA; Atlanta, GA, USA; +24 more; +23 more

• Director, Business Intelligence

Sunnyvale, CA, USA

• Leadership Technical Program Manager, Planning Operations

Thornton, CO, USA; Addison, TX, USA

• Staff Software Engineer, AI/ML, Agent Assist

Sunnyvale, CA, USA

• Customer Engineer, Federal Civilian Agencies, Google Public Sector

Reston, VA, USA; Washington D.C., DC, USA

• Technical Account Manager, Google Cloud Consulting, Financial Services

New York, NY, USA

• Control Systems Networking Engineer

Sunnyvale, CA, USA; Columbus, OH, USA; +3 more; +2 more

• Senior Software Engineer

Mountain View, CA, USA; San Bruno, CA, USA; +4 more; +3 more

• Customer Solutions Engineer

Bengaluru, Karnataka, India; Hyderabad, Telangana, India; +2 more; +1 more

• Senior Software Engineer, Storage AI/ML

Seattle, WA, USA

• Senior ASIC Power Delivery Engineer

Sunnyvale, CA, USA

• Regional IoT Operations and Cyber security Specialist

New York, NY, USA

• Customer Growth Associate, Google Customer Solutions, German Market

Dublin, Ireland

• Senior Optical Network Engineer, Google Global Networking

Sunnyvale, CA, USA

• Strategic Partner Manager, YouTube Business

Los Angeles, CA, USA; New York, NY, USA; +2 more; +1 more

• Senior Software Engineer, AI/ML, Creative Intelligence

Mountain View, CA, USA

• Senior Software Engineer, Full Stack

Atlanta, GA, USA

• Staff Data Scientist, Product

Kirkland, WA, USA; Sunnyvale, CA, USA; +2 more; +1 more

• Regional Lead, Public Affairs

Atlanta, GA, USA; Reston, VA, USA; +2 more; +1 more

• Senior Interaction Designer, Payments Platform

Mountain View, CA, USA

Showing 1 to 20 of 3410 rows

1‑20 of 3410

navigate_next

Follow Life at Google on

*

More about us

About usopen_in_newContact usopen_in_newPressopen_in_new

Related Information

Investor relationsopen_in_newBlogopen_in_new

Equal Opportunity

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.

More about us

expand_more

Related information

expand_more

Equal opportunity

expand_more

Privacyopen_in_newApplicant & Candidate Privacyopen_in_newTermsopen_in_newManage cookies

helpHelpopen_in_new

arrow_back

Back to jobs search

Senior Staff Research Scientist, Gemini Safety Post-Training, DeepMind

share

• linkCopy link
• emailEmail a friend

corporate_fareDeepMindplaceMountain View, CA, USA

Apply

share

• linkCopy link
• emailEmail a friend

Minimum qualifications:

• PhD in Computer Science, a related field, or equivalent practical experience.
• 6 years of experience in Machine Learning Algorithms and Language Modeling.
• One or more scientific publications in the ML/AI conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR).

Preferred qualifications:

• 6 years of experience in ML research, with 3 years of experience shipping Reinforcement Learning-based (or equivalent) post-training pipelines.
• 5 years of experience leading the cross-functional teams in complex, matrixed environments and ability to influence stakeholders, resolve incentives, and provide strategic technical judgment.
• Ability to deploy the performance improvements in production foundation models.

About the job

As models become more agentic, executing long-horizon tasks, using tools, writing and running code, operating across multi-step workflows, the challenge of making them safe fundamentally changes. Surface-level safety methods (output filtering, refusal tuning, policy guardrails) were designed for single-turn interactions. They are not enough for agents that plan, act, and adapt over extended horizons.

We are looking for a Senior Staff Research Scientist to rethink safety post-training for this new reality. You will bring frontier post-training expertise, to develop training methods that make Gemini models deeply safe and aligned, especially in agentic settings. This role sits in Gemini Safety and partners closely with the Artificial General Intelligence (AGI) Safety team and the Gemini post-training organization.

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 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: $262000 - $365000 (USD) + 25% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $262000 - $365000 (USD) + 25% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Rethink how safety is trained into models, especially for agentic, long-horizon behavior.
• Design and ship post-training recipes (Reinforcement Learning (RL), Supervised Fine-Tuning (SFT), and beyond) that install safety and alignment properties into Gemini models. You own the path from research to production.
• Build the metrics and evaluations that tell us whether training is actually making models safer in deployment, not just on benchmarks.
• Work directly with the post-training pipeline and infrastructure. Partner with the AGI Safety team to bring alignment research into practical training. Translate between research and production.
• Shape the road map for where safety post-training goes next. Build and grow the team to execute on it.

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.

Follow Life at Google on

*

More about us

About usopen_in_newContact usopen_in_newPressopen_in_new

Related Information

Investor relationsopen_in_newBlogopen_in_new

Equal Opportunity

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.

More about us

expand_more

Related information

expand_more

Equal opportunity

expand_more

Privacyopen_in_newApplicant & Candidate Privacyopen_in_newTermsopen_in_newManage cookies

helpHelpopen_in_new

Follow Life at Google on

*

More about us

About usopen_in_newContact usopen_in_newPressopen_in_new

Related Information

Investor relationsopen_in_newBlogopen_in_new

Equal Opportunity

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.

More about us

expand_more

Related information

expand_more

Equal opportunity

expand_more

Privacyopen_in_newApplicant & Candidate Privacyopen_in_newTermsopen_in_newManage cookies

helpHelpopen_in_new

Google apps

Main menu