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Machine Learning Ai Jobs in Washington (NOW HIRING)

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

Spear AI is a growing defense contracting company dedicated to delivering cutting-edge solutions ... Integrate machine learning models into real-time and batch processing systems * Optimize model ...

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All JobsMachine Learning Ai JobsMachine Learning Ai Jobs in Washington

Machine Learning Ai information

See Washington salary details

$28.9K

$48.2K

$99.7K

How much do machine learning ai jobs pay per year?

As of Aug 14, 2026, the average yearly pay for machine learning ai in Washington is $48,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,800.00 and $52,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a machine learning AI?

To thrive as a Machine Learning AI Engineer, you need a strong background in mathematics, statistics, programming (typically Python), and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow and PyTorch, as well as cloud platforms and data processing tools, is essential, and certifications in these areas can be advantageous. Strong problem-solving, communication, and collaboration skills help you effectively translate business needs into technical solutions and work well within multidisciplinary teams. These skills ensure you can develop robust AI models that address real-world challenges and deliver meaningful business impact.

What is a machine learning AI?

A Machine Learning AI specialist is a professional who develops algorithms and models that enable computers to learn from and make predictions or decisions based on data. They work with large datasets, train and evaluate machine learning models, and often collaborate with software engineers and data scientists to integrate AI solutions into products and services. Their work is crucial in fields like natural language processing, computer vision, and predictive analytics, helping organizations automate tasks, gain insights, and improve efficiency.

What are some common challenges faced when collaborating with cross-functional teams as a machine learning AI?

As a Machine Learning AI professional, you’ll often collaborate with data engineers, software developers, and product managers. A common challenge is bridging the gap between complex AI models and practical business requirements, ensuring your solutions are both technically sound and aligned with user needs. Effective communication is key, as you’ll need to explain technical concepts to non-technical stakeholders and adapt your models based on feedback. Building trust and fostering a collaborative environment will help ensure successful project outcomes and foster continual learning.

What is the difference between Machine Learning Ai vs Data Scientist?

AspectMachine Learning AiData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with programming and algorithmsDegree in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDeveloping algorithms, training models, deploying AI systemsAnalyzing data, creating reports, interpreting results
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

Machine Learning Ai focuses on developing and deploying AI algorithms and models, while Data Scientists analyze and interpret data to inform business decisions. Both roles often collaborate but have distinct focuses within the data and AI ecosystem.

What are popular job titles related to Machine Learning Ai jobs in Washington?

For Machine Learning Ai jobs in Washington, the most frequently searched job titles are:

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

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

Machine Learning Ai jobs near you
Infographic showing various Machine Learning Ai job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $48,230 per year, or $23.2 per hour.

Senior Machine Learning Engineer [$320k/yr+] TS/SCI-FS Poly with Security Clearance

SYSTOLIC

Annapolis Junction, MD • On-site

$320K/yr

Other

Re-posted 29 days ago

Job description

Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered. Summary: • Develop and prototype compliance and business processing analytics and tools. • Automate compliance functions and improve existing methods. • Integrate and test compliance modernization Machine Learning/AI algorithms and research proof-of-concepts. • Build and monitor Machine Learning models and data flows. Qualifications & Compensation: • Degree: Technical bachelor's degree or equivalent experience • Years of experience: 20+ years • Total Compensation: $320k+ yearly (tentative) Job Description: • Develop, enhance, and prototype compliance and business processing analytics and tools. • Automate and improve compliance functions using new methods. • Investigate, integrate, and test Machine Learning/AI algorithms and research proof-of-concepts. • Develop and monitor Machine Learning models, metrics, and data flows. • Utilize Java, Scala, and Python for development. • Work with data technologies including Lucene, JEXL, SQL, Ghostmachine (Map/Reduce), GM Learn, and Spark. • Apply Machine Learning expertise, including Random Forest, Scikit-learn, model building, monitoring, and feature development. • Develop in a Linux operating environment. • Use development tools such as Jupyter Notebooks, IntelliJ/Eclipse, Git/Gitlab, Jira, and Confluence. • Leverage Data Science skills, including Exploratory Data Analysis (EDA). • Experience with AWS, Agentic AI, and Large Language Models (LLM. • Adhere to Agency Compliance standards and policies. • Document and review technical work. About SYSTOLIC: SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com. To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency

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