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Commission Machine Learning Startup Jobs in Virginia

Showing results 41-60

Commission Machine Learning Startup information

What is the difference between Commission Machine Learning Startup vs Data Scientist?

AspectCommission Machine Learning StartupData Scientist
CredentialsDegree in Computer Science, Data Science, or related fields; experience with ML modelsDegree in Computer Science, Statistics, or related fields; proficiency in programming and data analysis
Work EnvironmentStartup setting, fast-paced, innovative projects, often remote or flexibleCorporate or research environment, collaborative teams, often office-based
Industry UsageTech startups, AI-focused companies, innovative product developmentTech firms, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding roles in ML startups, freelance or commission-based opportunitiesCareer development, skill requirements, industry roles

Commission Machine Learning Startup roles focus on developing ML solutions within startup environments, often with flexible or freelance arrangements. Data Scientists typically work in established companies, applying statistical and programming skills to analyze data. Both roles require similar credentials but differ in work setting and industry focus.

What cities in Virginia are hiring for Commission Machine Learning Startup jobs?

Cities in Virginia with the most Commission Machine Learning Startup job openings:

Forward Deployed AI Engineer

Mclean, VA • On-site

Fuze HR Solutions Inc.
51 - 200 employees

Full-time

Re-posted 26 days ago


Job description

Forward Deployed AI Engineer
Location: Washington, DC (McLean, VA – on-site 5 days/week)
Compensation: $150,000 – $200,000 + competitive equity
Clearance Required: SECRET

ABOUT THIS ROLE
We are seeking a Forward Deployed AI Engineer with approximately 4–6 years of experience to architect and deploy agentic AI systems supporting U.S. Government partners tackling fraud, waste, and abuse — a trillion-dollar challenge. You will work directly with federal agency stakeholders to understand complex mission requirements and translate them into production-ready technical systems. This role combines hands-on software engineering, applied AI development, data analysis, and partner-facing problem solving.

You will:
• Build and deploy agentic AI systems, including RAG pipelines, multi-agent frameworks, and tool-calling agents
• Embed directly with federal agency partners to understand mission needs and convert them into working technical solutions
• Analyze public, proprietary, and restricted government datasets to identify potentially fraudulent contractors and spending activity
• Build data pipelines and analytical workflows that help prevent future improper or fraudulent spending
• Own projects from initial requirements gathering through architecture, development, deployment, and iteration
• Integrate large language models with databases, APIs, analytical tools, and government systems
• Present technical concepts and system capabilities to both technical and nontechnical stakeholders
• Travel locally to government facilities throughout Washington, D.C., including the Pentagon and federal agency offices

This is a full-time position based in McLean, Virginia, requiring five days per week on-site. Local travel throughout the Washington, D.C. area is required, but the role does not involve regular cross-state or overnight travel.

REQUIREMENTS
• Approximately 4–6 years of relevant experience across software engineering, applied AI, machine learning, or AI research
• Strong Python engineering skills with demonstrated end-to-end delivery experience
• Experience building and deploying agentic AI or large language model systems into production
• Hands-on experience with RAG pipelines, multi-agent frameworks, tool-calling agents, or related LLM orchestration technologies
• Experience building data pipelines and working with large, complex, or fragmented datasets
• A combination of software engineering and AI/ML experience rather than a purely traditional software engineering background
• Experience working directly with customers, government stakeholders, operators, or other external partners
• Experience at a government-facing, defense technology, or national security technology company is strongly preferred
• Startup experience or another clear record of independently owning and delivering technical projects is preferred
• Experience with distributed systems, machine learning infrastructure, or reinforcement learning is a plus
• Bachelor's degree in computer science, machine learning, engineering, or a related technical field is preferred, although demonstrated technical depth is more important than a specific degree
• Must be willing to work on-site five days per week in McLean, Virginia
• Must be willing to travel locally to federal agency and government sites throughout Washington, D.C.

HOW TO APPLY
If you're passionate about building agentic AI systems that solve real mission-critical challenges for the federal government, we'd love to connect.

Apply online today!

Email agary@fuzehr.com for immediate consideration or Call/Text: 928-316-0629

Fuze HR is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

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