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Generative Ai Innovation Center Jobs in Washington

Clearpath, Inc.

AI Innovation Fellow

Washington, DC · On-site

$55K - $75K/yr

Job Summary ClearPath is seeking an AI Innovation Fellow to help accelerate the adoption of AI and ... center of federal policy. In this fellowship role you will be expected to pursue educational ...

Axinn

Innovation Counsel

Washington, DC · On-site

Generative AI & Workflow Development * Design, build, and optimize generative AI workflows for ... Foster a culture of innovation, collaboration, continuous learning, and continuous improvement ...

InterImage

AI/ML Software Developer

Arlington, VA · On-site

... Generative AI capabilities. This role sits at the intersection of software engineering, data engineering, and AI innovation, supporting the development of enterprise solutions that leverage large ...

Mondo

AI Product Manager

Centreville, VA · Remote

$140K - $150K/yr

... innovation with regulatory and governance requirements. Day-to-Day Responsibilities * Lead AI ... Demonstrated experience launching AI or Generative AI products within a B2B SaaS environment

InterImage

AI/ML Software Developer

Arlington, VA

... Generative AI capabilities. This role sits at the intersection of software engineering, data engineering, and AI innovation, supporting the development of enterprise solutions that leverage large ...

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Generative Ai Innovation Center information

What is a Generative AI Innovation Center?

A Generative AI Innovation Center is a dedicated hub or team within an organization focused on researching, developing, and implementing generative artificial intelligence solutions. These centers aim to accelerate AI-driven innovation by exploring new algorithms, creating prototypes, and deploying generative AI models for business applications such as content creation, design, and data analysis. They often collaborate with various departments, external partners, and experts to stay at the forefront of AI advancements and ensure responsible, ethical use of generative technologies.

What are the key skills and qualifications needed to thrive in a Generative AI Innovation Center role, and why are they important?

To thrive in a Generative AI Innovation Center, you need a strong background in computer science, machine learning, and data analysis, typically supported by advanced degrees or relevant experience. Familiarity with AI frameworks like TensorFlow or PyTorch, cloud platforms, and experience with large language models are commonly required. Creativity, problem-solving, and collaboration are crucial soft skills for innovating and working effectively within multidisciplinary teams. These skills ensure the ability to drive cutting-edge AI solutions, foster innovation, and deliver impactful projects in a rapidly evolving field.

What are some common challenges faced by professionals working in a Generative AI Innovation Center, and how can applicants prepare for them?

Professionals in a Generative AI Innovation Center often encounter challenges such as keeping up with rapid advancements in AI technologies, integrating new models into existing systems, and collaborating across interdisciplinary teams. Applicants can prepare by regularly updating their knowledge on state-of-the-art AI research, developing strong communication skills to bridge gaps with non-technical stakeholders, and gaining experience in deploying scalable AI solutions. Adaptability and a proactive approach to continuous learning are vital for thriving in this fast-paced environment.

What is the difference between Generative Ai Innovation Center vs Data Scientist?

AspectGenerative Ai Innovation CenterData Scientist
Required CredentialsAdvanced degrees in AI, computer science, or related fields; specialized training in generative modelsBachelor's or master's in data science, statistics, or related fields; programming skills
Work EnvironmentResearch labs, innovation hubs, collaborative teams focused on AI developmentData analysis, modeling, and visualization in corporate or research settings
Employer & Industry UsageTech companies, AI startups, research institutions focusing on AI innovationBusinesses across industries using data insights for decision-making

The Generative Ai Innovation Center focuses on developing and advancing generative AI technologies, often within research or innovation hubs. Data Scientists analyze data, build models, and support AI projects but typically do not lead innovation centers. While both roles require strong technical skills, the Innovation Center is more research-oriented, whereas Data Scientists work across various industries applying data analysis techniques.

What are popular job titles related to Generative Ai Innovation Center jobs in Washington?

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The top searched job categories for Generative Ai Innovation Center jobs in Washington are:

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Cities in Washington with the most Generative Ai Innovation Center job openings:

Generative Ai Innovation Center jobs near you

Staff Machine Learning Engineer - Generative AI

Xometry

North Bethesda, MD • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago

Job description

Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a rare opportunity to shape the future of manufacturing by applying cutting-edge AI research to real-world problems: from multimodal document understanding, to extracting structured data from technical drawings, to building new ways of reasoning across text, images, and 3D data. If you're passionate about building state-of-the-art AI systems and want to see your work have immediate business and customer impact, we'd love to talk.

How You'll Contribute:

  • Lead with vision - Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation
  • Drive strategy - Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry's marketplace
  • Build cutting-edge models - Develop and deploy large language and generative models for multimodal document processing and structured data extraction
  • Innovate across modalities - Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions
  • Engineer at scale - Create data pipelines and training workflows that can handle massive, complex datasets
  • Deploy in the cloud - Use AWS and other platforms to train, optimize, and deploy models into production at scale
  • Collaborate widely - Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows
  • Mentor and grow - Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team
  • Stay ahead - Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production

What You'll Bring to Xometry:

  • Bachelor's degree required; advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus
  • 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision
  • Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs)
  • Hands-on experience with multimodal data (text, images, 3D)
  • Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy)
  • Solid grounding in probability, statistics, and optimization for generative modeling
  • Experience deploying ML and AI models using cloud microservice architecture (AWS preferred)
  • Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred)
  • A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders
  • Background in manufacturing, supply chain, or related industries is a plus - but curiosity and drive matter more
  • Must be a U.S. Citizen or Green Card holder (ITAR compliance)

The estimated base salary range for new hires into this role is $140,000-$230,000 annually + bonus depending on factors such as job-related skills, relevant experience, and location.  We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid

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About Xometry

Sourced by ZipRecruiter

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Industry

Software development

Company size

501 - 1,000 Employees

Headquarters location

Gaithersburg, MD, US

Year founded

2013

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