Research Engineer, Human Understanding, DeepMind

Research Engineer, Human Understanding, 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

3,486 jobs matched

• Facilities Manager, Data Center Operations

Frankfurt am Main, Germany

• Account Representative, Search Ads 360, Retail, LCS

San Francisco, CA, USA; Chicago, IL, USA

• Immigration Strategy Lead

London, UK; Dublin, Ireland

• Senior Applied AI/ML Engineer

Bengaluru, Karnataka, India

• Staff Software Engineer, Cloud Migration

Bengaluru, Karnataka, India

• Field Sales Representative, Financial Services, Google Cloud

Washington D.C., DC, USA; Atlanta, GA, USA; +4 more; +3 more

• Director, Strategic Sourcing

Sunnyvale, CA, USA

• Account Manager, International CPG, Large Customer Sales (English, Japanese)

Tokyo, Japan

• Sales Compensation Administration Manager, Google Cloud

Dublin, Ireland; Warsaw, Poland

• Technical Program Manager, Security

Singapore

• Forward Deployed Engineer IV, GenAI, Google Cloud

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

• Technical Solutions Consultant, Android Connectivity and Communication Platforms

Kirkland, WA, USA; San Jose, CA, USA

• Principal Architect III, Google Cloud

Sunnyvale, CA, USA; San Francisco, CA, USA

• Product Support Manager, gUP Platforms and Devices Social and Community

Atlanta, GA, USA; Boulder, CO, USA

• Staff Software Engineer, AI/ML, YouTube Ads

Mountain View, CA, USA

• Staff AI Solutions Deployment Developer, Applied AI

Waterloo, ON, Canada; Cambridge, MA, USA; +2 more; +1 more

• Business and Marketing Data Scientist, Applied Machine Learning

New York, NY, USA; Mountain View, CA, USA

• Post Silicon Advanced Packaging Engineer

Taipei, Taiwan; Zhubei, Zhubei City, Hsinchu County, Taiwan

• Product Manager, Google Partner Innovation

Singapore

• Research Scientist, Gemini Data, DeepMind

Paris, France

Showing 1 to 20 of 3486 rows

1‑20 of 3486

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

Research Engineer, Human Understanding, DeepMind

share

• linkCopy link
• emailEmail a friend

corporate_fareDeepMindplaceMountain View, CA, USA; Los Angeles, CA, USA

Apply

share

• linkCopy link
• emailEmail a friend

info_outline

XApplicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Los Angeles, CA, USA.

Minimum qualifications:

• Bachelor's degree in Computer Science, Machine Learning, a related technical field, or equivalent practical experience.
• 5 years of experience developing machine learning models (e.g., audio/speech-visual models).
• Experience working with and tuning vision language models.
• Experience programming in Python and with deep learning frameworks (e.g., JAX, Flax, or Gemax).
• Experience conducting research and development, including experimental design, implementation, and analysis.

Preferred qualifications:

• Experience with Generative AI techniques and architectures.
• Experience with multimodal learning, integrating information from different data types (e.g., vision, audio, text).
• Familiarity with Reinforcement Learning or alignment methods.
• Understanding of privacy-preserving machine learning or responsible AI practices.
• A track record of publications in AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV).

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.

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 diverse 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: $174000 - $253000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Research and implement novel models and other multimodal techniques for a more holistic understanding of human likeness across visual, audio, and textual data.
• Conduct experimental research cycles from hypothesis to deployment, focusing on areas like scalable deepfake detection, privacy-preserving matching, and consistent human likeness generation.
• Take ownership of substantial technical projects within human likeness modeling (HLM), from ideation and design to implementation and evaluation, often involving cross-functional collaboration.
• Inform and contribute to the development of scalable and efficient research infrastructure for HLM models and datasets.
• Design and execute strategies for tuning and adapting vision-language models (VLMs) and other foundation models for specific HLM tasks, such as improved explainability and nuanced likeness measurement.

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.

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.

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