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Entry Level Machine Learning Engineer Jobs in Washington

Kitware

Machine Learning Engineer

Arlington, VA · On-site

$110K - $160K/yr

... machine learning, artificial intelligence, and computer vision * Perform rapid prototyping and enhanced development to be integrated into operational systems * Contribute your strong programming ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

... machine learning, artificial intelligence, and computer vision * Perform rapid prototyping and enhanced development to be integrated into operational systems * Contribute your strong programming ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

... machine learning, artificial intelligence, and computer vision * Perform rapid prototyping and enhanced development to be integrated into operational systems * Contribute your strong programming ...

GEICO

Machine Learning Engineer II

Bethesda, MD · On-site

$105K - $215K/yr

Leverage expertise in machine learning, software engineering, and system architecture to independently drive the development of production-ready models. Work closely with cross-functional teams, from ...

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Entry Level Machine Learning Engineer information

See Washington salary details

$34K

$78.6K

$133.6K

How much do entry level machine learning engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for entry level machine learning engineer in Washington is $78,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $88,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in Washington? The most popular types of Machine Learning Engineer jobs in Washington are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Washington? For Entry Level Machine Learning Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Washington look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Washington are:
What cities in Washington are hiring for Entry Level Machine Learning Engineer jobs? Cities in Washington with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Washington as of July 2026, with employment types broken down into 1% Locum Tenens, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $78,559 per year, or $37.8 per hour.
Machine Learning Engineer

Machine Learning Engineer

Applied Information Sciences

Washington, DC

$100K - $150K/yr

Full-time

Posted 15 days ago

Job description

Why AIS?

When you join AIS, you're joining a mission-driven team that's passionate about making a difference. You'll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success.

  • Employee Ownership: Your contributions directly impact the company's success, and you share in its achievements.

  • Continuous Learning: Access to resources, training, and mentorship to support your professional growth.

  • Inclusive Culture: A workplace where diversity is celebrated, and everyone's voice is valued.

  • Mission-Driven Work: Engage in projects that make a meaningful difference for our clients and communities.

What are we looking for?

At AIS, we're looking for more than just skills - we're looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles.

What you will be doing?

This position is contingent upon contract award. We are currently pursuing a proposal and are seeking qualified candidates to include in our submission and identify candidates for future hiring needs on the program once awarded.

At AIS, we are dedicated to providing our employees with diverse opportunities to grow their careers while supporting a variety of impactful projects. For this position, we are seeking a talented individual to join AIS as a Senior Software Engineer.

  • Core Knowledge & Skills: Works across multiple languages and platforms, designs and implements architectural decisions, applies design patterns, cloud-native services, IAAS/PAAS/SAAS basics, and secure coding practices (e.g., OWASP Top 10).

  • Work & Complexity: Performs complex tasks under limited guidance, integrates and troubleshoots distributed or cloud services, and optimizes performance and scalability.

  • Quality & Independence: Sets a high bar for code quality, multitasks effectively, owns and corrects errors quickly, and drives continuous improvement.

  • Teamwork & Communication: Leads code reviews, mentors teammates, and translates technical concepts for non-technical stakeholders.

  • Consulting & Engagement: Works directly with clients without oversight, writes technical RFP content when needed, nurtures client relationships, and manages routine client concerns.

As your initial project assignment, you will support the unique needs of our client as a Machine Learning Engineer. Project Summary

AIS is seeking a Machine Learning Engineer for an AI Engineering contract supporting a federal customer in a hybrid role in the DC/Maryland/Virginia (DMV) area.

Key Responsibilities

  • Develop and deploy software into production in government environments.

  • Build data pipelines and manage the full data lifecycle.

Required For This Opportunity

  • Bachelor's Degree in Computer Science (or closely related degree).

  • At least 3 years of experience in Software Development, Machine Learning, and/or AI Engineering.

  • Must have hands-on experience with Python, Python DS Tech Stack (tensorflow, scikit-learn, pandas, etc.), Kubernetes, Postgres, and Docker.

  • Must have a strong Python background.

  • Must have a proven track record of building data pipelines, managing the full data lifecycle, and developing and deploying software into production in government environments.

  • Must have an Active Secret Clearance.

Nice to Have Skills

  • A certification in Data Science, AI, or another related certification is preferred, but not required.

At AIS, we are committed to offering competitive and fair compensation that reflects the skills, experience, and contributions of each team member. The targeted base salary range for this role is $100,000-$150,000 per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location. We value transparency in our hiring process and are happy to discuss how your unique qualifications align with our compensation structure during the interview process.

Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.

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