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Google Artificial Intelligence Jobs in Reston, VA

Google

Lead, AI External Testing and Feedback

Washington, DC · On-site

$53.75 - $73.25/hr

... 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 ...

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Google Artificial Intelligence information

See Reston, VA salary details

$47.3K

$108.9K

$149.8K

How much do google artificial intelligence jobs pay per year?

As of Aug 30, 2026, the average yearly pay for google artificial intelligence in Reston, VA is $108,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $123,300.00 per year, depending on experience, location, and employer.

What is a Google Artificial Intelligence?

A Google Artificial Intelligence job involves working on cutting-edge AI research, development, and applications within Google's AI and machine learning teams. Roles may include AI research scientists, machine learning engineers, data scientists, and product managers focused on AI-driven solutions. Employees work on projects like Google Search, Google Assistant, TensorFlow, and deep learning models to advance AI capabilities. These jobs require strong technical skills in machine learning, programming, and data analysis, often with experience in Python, TensorFlow, or PyTorch.

What types of projects do professionals in Google Artificial Intelligence typically work on?

Professionals in Google Artificial Intelligence often work on cutting-edge projects such as developing machine learning models, natural language processing applications, computer vision systems, or optimizing large-scale data pipelines. Many roles involve both research and applied development, requiring close collaboration with product managers, software engineers, and data scientists. Teams are typically interdisciplinary, supporting a culture of innovation and rapid experimentation. Employees also have opportunities to contribute to open-source projects and publish research, which can accelerate personal and career growth.

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

To thrive in a Google Artificial Intelligence role, you need a strong background in computer science, machine learning, and mathematics, typically supported by an advanced degree in a relevant field. Expertise with tools such as TensorFlow, Python, cloud platforms, and familiarity with large-scale data processing systems are essential; certifications in AI or data science can be advantageous. Excellent problem-solving abilities, strong communication skills, and the capacity to work collaboratively within cross-functional teams are critical soft skills. These competencies enable professionals to develop innovative AI solutions that drive impactful business outcomes at scale.

How to get a job in Google Artificial Intelligence?

To get a job in Google Artificial Intelligence, candidates should have a strong background in computer science, machine learning, or related fields, with skills in programming languages like Python and experience with AI frameworks such as TensorFlow. Relevant experience through research, projects, or internships, along with a solid understanding of algorithms and data structures, is also important. Applying through Google's careers portal and preparing for technical interviews are essential steps.

What are the most commonly searched types of Google Artificial Intelligence jobs in Reston, VA?

The most popular types of Google Artificial Intelligence jobs in Reston, VA are:

What are popular job titles related to Google Artificial Intelligence jobs in Reston, VA?

For Google Artificial Intelligence jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Google Artificial Intelligence jobs in Reston, VA look for?

The top searched job categories for Google Artificial Intelligence jobs in Reston, VA are:

What cities near Reston, VA are hiring for Google Artificial Intelligence jobs?

Cities near Reston, VA with the most Google Artificial Intelligence job openings:

Google Artificial Intelligence jobs near you
Infographic showing various Google Artificial Intelligence job openings in Reston, VA as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $108,866 per year, or $52.3 per hour.

Artificial Intelligence (AI) Engineer/Policy

Bethesda, MD • On-site

Cornerstone Defense
Library and Information Services • 51 - 200 employees
Learn more about Cornerstone Defenseexternal

Contractor

Re-posted 27 days ago

Job description

  • Location: Bethesda, Maryland
  • Type: Contract
  • Job #3285

Title: Artificial Intelligence (AI) Engineer/Policy
Location: Bethesda, MD
*Clearance: *Active TS/SCI w/ Polygraph needed to apply *
Company Overview:
Cornerstone Defense is the Employer of Choice within the Intelligence, Defense, and Space communities of the U.S. Government. Realizing early on that our most prized assets are our employees, we continually focus our attention on improving the overall work/life experience they have supporting the mission. Our Team is pushed every day to use their industry leading knowledge to provide end-to-end solutions to combat our nation's toughest and most secure problems. If you are looking for a place to not only be professionally challenged, but encouraged and supported by a company that cares, don't look any further than Cornerstone Defense.
Education:
High School Diploma/GED + 12 Years
Associate Degree + 10 Years
Bachelor's Degree + 8 Years
Master's Degree + 6 Years
PhD + 4 Years
We are seeking an Artificial Intelligence (AI) Engineer/Policy SME to support a fast-paced, dynamic environment supporting the governance process. In this role, this person will work closely with the ODNI CDO & CAIO to create AI governance policy based on experience and real-world considerations and provide hands-on work dealing with AI models for prototyping, training, inference, and deployment. The customer is seeking a subject matter expert, creating and translating trend analyses, and facilitate stakeholder decision-making, policy, and governance pertaining to current and emerging AI technology.
The selected candidate should have experience in more than one of the requirements below:
Be an expert in the field of AI with an in-depth knowledge of AI architecture and development
Experience translating highly technical concepts into policy and governance documents
Have in depth experience with collaborating with various IC Partners on policy and governance
Have an expertise in one or more of the following subfields, or similar subfield: ethics, policy, or law pertaining to AI and emerging technology.
Be forward leaning, recommending necessary improvements to achieve the customer's vision
Stay up to date with the latest advancements in AI technologies
Qualifications
Active TS/SCI with Polygraph is required
Bachelor's degree and ten (10) years or more of related experience; Master's degree and seven (7) years or more experience; PhD or JD and five (5) years or more experience
Experience establishing AI policy and governance documents for existing and emerging AI technology
5+ years collaborating with various Intel Community (IC) partners including non-DoD IC elements on information sharing
Experience with specific AI applications including NLP, LLM, GenAI, RAG, Agentic AI use cases
Experience in at least two of the following fields: AI development, AI architecture, AI policy, AI engineering, AI ethics & laws, and emerging technology
Experience collaborating with data scientists and other AI related stakeholders
Desired Skills:
Experience with Python, R, SQL, Jupyter, MLOps, AI/ML services (e.g., AWS SageMaker, Amazon Q, Azure ML Studio, CoPilot Studio, Google BigQuery, Oracle ML) leveraging cloud service provider(s) (e.g., AWS, Azure, Oracle, and Google)
Experience with designing, developing, and implementing AI models
Experience with optimizing and deploying AI solutions

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