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Google Research Jobs in Silver Spring, MD (NOW HIRING)

Lead, AI External Testing and Feedback

Washington, DC · On-site

$53.75 - $73.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Research (ECTR). The ECTR team helps to strengthen connections between valued external experts and ... The ECTR's team's role is to build trust in Google's process to keep the internet safe for all ...

Medical Device Regulatory Specialist

Washington, DC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We safeguard Google's core platforms and general-purpose models from being unintentionally ... care delivery, research to catalyze the use of artificial intelligence for the screening and ...

Communications Manager, Policy and Legal

Washington, DC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Manage agencies and other third-party firms with specific deliverables, including outreach plans, research projects, and more. Information collected and processed as part of your Google Careers ...

Power Systems Engineer

Reston, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our lab mirrors a research and development department -- cutting-edge strategies are born, tested ... Google's custom-designed infrastructure powers one of the largest, most efficient computing systems ...

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Showing results 21-40

Google Research information

See Silver Spring, MD salary details

$31K

$60.7K

$98.2K

How much do google research jobs pay per year?

As of Aug 18, 2026, the average yearly pay for google research in Silver Spring, MD is $60,730.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $72,400.00 per year, depending on experience, location, and employer.

What is a Google Research?

A Google Research job involves conducting cutting-edge research in artificial intelligence, machine learning, computer science, and other advanced fields. Researchers at Google work on theoretical and applied problems, develop new algorithms, and publish papers in top conferences. They also collaborate with product teams to integrate research breakthroughs into real-world applications. These roles often require strong expertise in fields like deep learning, natural language processing, or computer vision, as well as a PhD or equivalent experience.

What types of projects and research areas do Google Research team members typically work on?

Team members at Google Research work on a wide variety of cutting-edge projects, including but not limited to machine learning, natural language processing, computer vision, and artificial intelligence. Research topics can range from developing novel algorithms to creating scalable systems that serve billions of users. The team often collaborates with product groups and academic partners, providing opportunities to see research make a real-world impact. You’ll find both individual and group-oriented projects, with regular opportunities for publication, patent filings, and contribution to open-source software. This diversity allows researchers to continuously learn and advance their careers in multiple directions.

What are the key skills and qualifications needed to thrive in the Google Research position, and why are they important?

Succeeding at Google Research requires a strong background in computer science, mathematics, or a related technical field, typically supported by a Ph.D. or equivalent research experience. Familiarity with Python, TensorFlow, PyTorch, and experience in publishing in top-tier conferences are highly valued. Excellent problem-solving skills, intellectual curiosity, and the ability to communicate complex ideas clearly are important soft skills. These competencies are crucial for driving innovative research, effective team collaboration, and advancing impactful projects at Google.

Does Google hire researchers?

Yes, Google hires researchers in various roles such as research scientists and research engineers who work on advancing technology and innovation. These positions typically require strong expertise in areas like machine learning, artificial intelligence, or data analysis, and often involve collaboration with cross-functional teams. Candidates usually need relevant advanced degrees and experience with research tools and methodologies.

How to become a Google Researcher?

To become a Google Researcher, candidates typically need a strong background in computer science, machine learning, or related fields, often holding a Ph.D. or master's degree. Relevant skills include programming in languages like Python or C++, experience with research methodologies, and familiarity with tools such as TensorFlow. Applying through Google's careers portal and demonstrating a strong research portfolio or publications can improve chances.

What are popular job titles related to Google Research jobs in Silver Spring, MD?

For Google Research jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Google Research jobs in Silver Spring, MD look for?

The top searched job categories for Google Research jobs in Silver Spring, MD are:

Infographic showing various Google Research job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $60,730 per year, or $29.2 per hour.

Lead, AI External Testing and Feedback

Google

Washington, DC • On-site

$53.75 - $73.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

49th of 245 rated software companies


Job description

info_outline
X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 7 years of experience in program or project management.
  • Experience with key policy issues affecting the online technology sector, including artificial intelligence and content regulation.

Preferred qualifications:
  • JD, MBA or Master's degree.
  • Experience with the development and maintenance of content safety policies and operations.
  • Experience collaborating with cross-functional stakeholders and navigate organizational boundaries including executive stakeholders.
  • Knowledge of the technology sector and key policy issues affecting the internet.
  • Ability to operate in a rapidly moving environment and translate complex issues into simple and clear language.

About the job
In this role, you will be part of the RTR's External Consultation, Testing and Research (ECTR). The ECTR team helps to strengthen connections between valued external experts and our broader Trust and Safety team, garner feedback about specific decisions/outcomes, and gather insight and expertise on specific artificial intelligence issues. The ECTR's team's role is to build trust in Google's process to keep the internet safe for all users and help develop more robust policies, products and processes.
You will be a part of our AI testing and feedback program where you will collaborate with external stakeholders and internal teams like Google DeepMind, Public Policy, and Marketing teams.
Your role working will gather feedback from external stakeholders on our most important AI products. You will analyze large datasets of feedback for insights and recommendations for Leadership, while optimizing the efficiency and accuracy of our AI testing program. You will use your independent, critical thinking skills with strong judgment and balance immediate needs with a long-term outlook, making data-driven recommendations. You will streamline complex workflows and provide support to internal stakeholders. You should be comfortable with both qualitative analysis and structured data sets.
At Google we work hard to earn our users' trust every day. Trust & Safety is Google's team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google's products, protecting our users, advertisers, and publishers across the globe in over 40 languages.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $164000 - $239000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Cultivate relationships and programming for external thought leaders, academics and policy experts on artificial intelligence and content safety issues.
  • Run outreach and operational functions for our external AI testing program in the United States.
  • Work cross-functionally with Trust and Safety, Product Engineering, Marketing and Public Policy teams to engage with external stakeholders on key content safety issues including elections integrity, child safety, scams and artificial intelligence.
  • Support the overall operations of the AI testing program including testing readiness and communications to internal and external stakeholders.

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.

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