ZipRecruiter

Log In

1

Machine Learning Ai Jobs in Washington (NOW HIRING)

System One

Machine Learning/AI Engineer

Merrifield, VA · On-site

Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c) Position Type: Multiyear Contract We are looking for candidates ...

New

System One

Machine Learning/AI Engineer

Merrifield, VA · Remote

Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c) Position Type: Multiyear Contract We are looking for candidates ...

New

AI Squared

Machine Learning Engineer

Washington, DC · On-site

We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power our platform.

AI Squared

Machine Learning Engineer

Washington, DC

We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power our platform.

AI Squared

Machine Learning Engineer

Washington, DC · On-site

We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power our platform.

next page

Showing results 1-20

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 Jun 26, 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 Engineer, and why are they important?

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 jobs can I get with AI ML?

With AI and ML skills, you can pursue roles such as Machine Learning Engineer, Data Scientist, AI Research Scientist, AI Software Developer, and AI Product Manager. These positions typically require knowledge of programming languages like Python or R, experience with machine learning frameworks, and understanding of data analysis and algorithms.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in AI frameworks, and strong industry expertise can earn $500,000 or more annually, especially in high-demand sectors like technology and finance. Achieving this level often requires advanced degrees, certifications, and leadership responsibilities.

What is a Machine Learning AI specialist?

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 is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often found in large tech companies or specialized firms. These positions usually require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and a strong track record of innovation.

What are some common challenges faced when collaborating with cross-functional teams as a Machine Learning AI professional?

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.

Which 3 jobs will survive AI?

Machine Learning AI professionals are likely to continue to find demand in roles such as AI researchers, data scientists, and AI ethics specialists, as these require advanced expertise, critical thinking, and understanding of complex algorithms. These roles involve tasks that are difficult to fully automate and often require ongoing innovation, specialized skills, and domain knowledge. Staying updated with programming languages like Python and frameworks such as TensorFlow can enhance job security in this field.

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 June 2026, with employment types broken down into 68% Full Time, 28% Part Time, and 4% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $48,230 per year, or $23.2 per hour.
Machine Learning/AI Engineer

Machine Learning/AI Engineer

System One

Merrifield, VA • On-site

Other

Medical, Dental, Vision, Life, Retirement

Posted yesterday

Job description

Job Title: Machine Learning/AI Engineer
Location: Hybrid in Vienna, VA or Remote
Pay Rate: Open to Both W2 and established 1099 options (no c2c)
Position Type: Multiyear Contract

We are looking for candidates with 5-10 years of professional experience with a combination of data science and machine learning expertise with knowledge of AI governance, MLOps, and emerging AI technologies.  Candidates must live in the United States and be able to pass both a criminal and credit background check.  We are open to W2 and established 1099 candidates – no c2c.
This position is for a Machine Learning/AI Engineer or Data Scientist focused on designing, developing, deploying, and securing advanced AI/ML solutions (more of an AI/ML Engineer and less of data scientist).  The role involves building machine learning models throughout their lifecycle, analyzing large-scale structured and unstructured data, developing AI-powered solutions using cloud platforms, and collaborating with data engineers and data scientists.  A key aspect of the role is evaluating AI safety, security, and risk, including reviewing AI architectures, conducting risk assessments, and ensuring secure deployment and monitoring of AI systems. The position also emphasizes experience with Computer Vision, NLP, Deep Learning, LLMs, Agentic AI, and cloud-based AI infrastructure.
Responsibilities
• Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc.
• Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends.
• Review A.I. system architectures and data flows to identify exposure to risks and evaluate identified A.I. safety and security risks.
• Perform A.I. risk assessments across the full lifecycle, including data security, model development, deployment, and ongoing monitoring.
• Partner with a cross-functional team of data engineers, data scientists, and data visualization to deliver projects.
• Research and evaluate emerging technologies.
• Develop data science solutions based on tools and cloud computing infrastructure.
• Perform other duties as assigned.

Requirements
• Advanced degree in in computer science, mathematics, physics, statistics.
• Strong experience with applying expertise in model design, training, validation, and monitoring.
• Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks.
• Experience with cloud computing infrastructure.
• Experience with Computer Vision, image processing and video analytics.
• Experience with Natural Language Processing/ Natural Language Understanding.
• Experience with deep learning framework and infrastructure like TensorFlow or PyTorch.
• Experience and/or willing to learn advanced techniques in Agentic A.I. framework and Large Language Models (LLMs).
• Experience and/or willing to research, develop, implement, and fine-tune LLMs in terms of specific domains knowledge and user cases.
• Ability to work individually, and as part of a team.
• Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management.

Desired:
• Experience with reviewing A.I. system architectures and data flows to identify exposure to risks and evaluate identified A.I. safety and security risks.
• Experience with performing A.I. risk assessments across the full lifecycle, including data security, model development, deployment, and ongoing monitoring.
• A.I. Model Optimization on GPU architecture. Leveraging C++, CUDA.
• Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments.
• Knowledge on principles of A.I. Security and Safety.
• Experience with Advance Reinforcement Learning Paradigms.
• Experience with Speech Recognition.
• Experience with Microsoft Azure services.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M-
#LI-
Ref: #851-Rockville-S1

Apply