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Ai Lab Jobs in Washington (NOW HIRING)

Cognition

Deployed Engineer, Federal

Washington, DC · On-site

Cognition is an applied AI lab focused on building end-to-end software agents. They are seeking a Deployed Engineer to join their newly formed federal group, where the engineer will shape technical ...

Cognition

Devops Engineer, Federal

Washington, DC · On-site

$59.50 - $81.50/hr

Cognition is an applied AI lab focused on building end-to-end software agents. They are seeking a Federal DevOps Engineer to shape the technical direction and initial project successes while owning ...

Research Innovations

Production Technician, Lab

Alexandria, VA · On-site

$20.25 - $27/hr

You will work directly in the lab alongside our engineering leads to prototype and produce hardware ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Research Innovations

Production Technician, Lab

Alexandria, VA · On-site

$20.25 - $27/hr

You will work directly in the lab alongside our engineering leads to prototype and produce hardware ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Research Innovations

Production Technician, Lab

Alexandria, VA · On-site

$20.25 - $27/hr

You will work directly in the lab alongside our engineering leads to prototype and produce hardware ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Pae

Systems Analyst

Washington, DC · On-site

Participate in building an in-house Analytics and AI lab to provide solutions to legal teams with complex data. * Build out solutions with OIT support and will need to be experts using various ...

Amentum

Systems Analyst

Washington, DC · On-site

$69 - $104/hr

Participate in building an in-house Analytics and AI lab to provide solutions to legal teams with complex data. * Build out solutions with OIT support and will need to be experts using various ...

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Ai Lab information

What is an AI Lab?

An AI Lab is a specialized research and development center focused on artificial intelligence technologies. These labs typically bring together scientists, engineers, and researchers to work on advancing machine learning, data science, robotics, and related fields. AI Labs can be part of universities, tech companies, or independent organizations, and they often collaborate on cutting-edge projects, publish research, and develop AI-powered solutions for real-world problems. Their work plays a crucial role in shaping how AI is integrated into various industries and society.

What are the key skills and qualifications needed to thrive in an AI Lab, and why are they important?

To thrive in an AI Lab, you need strong expertise in machine learning, statistics, and programming, often supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and cloud computing platforms, as well as experience with data management systems, is typically required. Creative problem-solving, collaboration, and excellent communication skills help distinguish top contributors in this environment. These skills ensure effective research, innovation, and teamwork, driving successful AI development and implementation.

What are some common challenges faced when working in an AI Lab, and how can new team members overcome them?

Working in an AI Lab often involves tackling rapidly evolving technologies and collaborating with experts from diverse backgrounds, such as data scientists, engineers, and domain specialists. New team members may find it challenging to stay updated on cutting-edge research and to bridge communication gaps between different disciplines. To overcome these challenges, it's helpful to regularly attend team meetings, engage in knowledge-sharing sessions, and seek mentorship from experienced colleagues. Emphasizing continuous learning and open communication greatly enhances both individual growth and team success.

What is the difference between Ai Lab vs Data Scientist?

AspectAi LabData Scientist
Required CredentialsTypically a degree in computer science, AI, or related fields; certifications in AI/ML are commonDegree in statistics, computer science, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentResearch labs, tech companies, or R&D departments focusing on AI developmentBusiness environments, analyzing data to inform decisions, often in tech, finance, or healthcare
Employer & Industry UsagePrimarily in tech companies, research institutions, and AI startupsAcross industries like finance, healthcare, marketing, and tech firms

While both roles involve working with data and algorithms, an Ai Lab focuses on developing and researching AI technologies, whereas a Data Scientist analyzes data to generate insights and support decision-making. The roles often overlap but differ mainly in their primary objectives and work environments.

How do I get into an AI lab?

To join an AI lab, candidates typically need a strong background in computer science, machine learning, or related fields, often demonstrated through a relevant degree or research experience. Gaining skills in programming languages like Python, familiarity with AI frameworks such as TensorFlow or PyTorch, and participating in research projects or internships can improve chances. Networking with professionals and publishing work can also help in securing a position in an AI lab.

What is the easiest AI Lab job to get into?

Entry-level roles in AI labs such as data annotation, data labeling, or research assistant positions are generally the easiest to obtain. These jobs often require basic technical skills, familiarity with AI concepts, and sometimes a relevant degree or certification, making them accessible for newcomers to the field.

What job categories do people searching Ai Lab jobs in Washington look for?

The top searched job categories for Ai Lab jobs in Washington are:

What cities in Washington are hiring for Ai Lab jobs?

Cities in Washington with the most Ai Lab job openings:

Ai Lab jobs near you
Infographic showing various Ai Lab job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Deployed Engineer, Federal

Cognition

Washington, DC • On-site

Full-time

Re-posted 13 days ago

Job description

Job Summary:
Cognition is an applied AI lab focused on building end-to-end software agents. They are seeking a Deployed Engineer to join their newly formed federal group, where the engineer will shape technical direction, manage strategic accounts, and influence the growth of the federal engineering organization.
Responsibilities:
• Operate across strategic accounts, providing technical depth on complex engagements
• Own the technical direction and success of customer accounts and deployments
• Translate customer pain points into product direction: scope requirements, define solutions, and drive implementation
• Be the connective link between our Federal GTM team and core product engineering teams.
• Build product extensions and integrations using Cognition’s APIs and platform primitives
• Architect and maintain complex enterprise deployments
• Handle escalated technical issues requiring deep debugging or architectural judgment
• Be a credible technical voice to engineering on what the field needs
Qualifications:
Required:
• Strong engineering foundation
• Have operated cross-functionally—whether at a startup wearing multiple hats or by driving product/commercial thinking at a larger company
• Experience working within the government or working in a government focused company.
• Have a track record of pursuing excellence at high levels, in any domain
• Proficiency in Python, TypeScript, or similar; comfort navigating unfamiliar codebases
• Experience scoping and shipping features in collaboration with product and engineering teams
Preferred:
• Have built software at companies known for engineering rigor and want broader impact
• Track record in forward-deployed engineering, solutions architecture, or similar technical roles
• Experience with enterprise infrastructure (cloud deployments, networking, security)
• Want to stay close to customers while shaping how the product evolves
• Enjoy hard problems without obvious solutions and the autonomy to figure them out
• Have a high tolerance for ambiguity, intensity, and sustained effort when the problem demands it
Company:
Cognition develops artificial intelligence systems for software engineering and code automation. Founded in 2023, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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