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Entry Level Machine Learning Engineer Jobs in Washington

NT Concepts

Machine Learning Engineer

Chantilly, VA · On-site +1

We are seeking a Machine Learning Engineer to join our team. Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

We're seeking a skilled Machine Learning Engineer to build and deploy production ML systems for the next-generation data management and artificial intelligence platform for maritime domain awareness.

Indeed

Machine Learning Engineer

Washington, DC

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source ...

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 ...

Indeed

Machine Learning Engineer

Annapolis, MD

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source ...

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

... 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 · 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 ...

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All JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Washington

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 Jun 19, 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 June 2026, with employment types broken down into 11% Internship, 77% Full Time, 6% Part Time, and 6% Temporary. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $78,559 per year, or $37.8 per hour.
Machine Learning Engineer

Machine Learning Engineer

NT Concepts

Chantilly, VA • On-site, Remote

Other

Posted 12 days ago

Job description

 

We are seeking a Machine Learning Engineer to join our team. Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in National Security. We're looking for the best and the brightest to join us in supporting this mission. If meaningful work, initiative, creativity, and continuous self-improvement are important to your career, join our growing team and discover What's Next for you.

Mission Focus: As a Machine Learning Engineer, you will have the unique opportunity to support research, design, and implement cutting edge algorithms for a program focused on building advanced simulations using 3D tools such as PyTorch3D, Unity, or Unreal Engine to train computer vision models. This requires coding in Python with PyTorch/PyTorch3D, implementing and maintaining development environments and supporting ML tools. Additionally, you will contribute to the program's source code, implementing data science techniques.

Our delivery teams are driven to explore new ideas and technology, and care deeply about collaboration, feedback, and iteration. We follow modern agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate-first", use modern tech stacks, and constantly challenge each other to grow and improve. 

If cutting edge data science projects resonate with you, and you care deeply about joining a mission-driven company with a strong growth direction and diverse culture, we'd love to learn more about you. Check out the details below, and let's connect. 

Technical members of our solutions teams require little guidance, but love to learn, collaborate, and problem solve. This position requires mid to senior level of experience, a passion for mission support, and a strong desire to solve our customers' hardest technical and data challenges. 

Clearance: Active TS/SCI preferred. Ability to obtain/maintain Secret level security clearance. US Citizenship is required.

Location/Flexibility: Vienna, VA and Chantilly, VA with remote flexibility

Responsibilities: 

As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning applications and software systems at scale. You'll implement computer vision machine learning applications using existing and emerging technology platforms to deliver business value to our clients. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You'll also mentor other engineers and develop your technical knowledge and skills to keep our team at the cutting edge of technology.

  • Collaborate with a cross-functional team comprising other ML Engineers, Software Engineers, DevSecOps Engineers, and Data Scientists.
  • Develop machine learning models and pipelines that are integral to mission success within this computer vision platform.

Qualifications:

  • 6+ years of relevant hands-on experience developing and implementing ML algorithms
  • Practical experience training and deploying Machine Learning models. Ideal candidate would have experience with PyTorch, PyTorch3D, NumPy, TensorFlow)
  • Understanding of machine learning techniques and algorithms specifically focus on 3D computations and backpropagation using 3D tensors and transforms
  • Familiarity with existing simulation engines such as Blender, Unity, and Unreal Engine
  • Experience utilizing or building simulation engines to validate computer vision models performance
  • Experience with cloud platform (AWS, Azure and GCP), AWS experience preferred
  • Proven experience with modern software development and engineering practices including scrum/agile, Git, and DevSecOps specifically GitLab CI/CD
  • Experience building and maintaining machine learning pipelines
  • Experience with container applications such as Docker, Kubernetes, OpenShift
  • Practical programming and scripting skills (Python preferred)
  • Understanding of data structures, data modeling and software architecture.
  • A passion for (and track record of) innovation, an interest in exploring and leveraging new data modalities, and working across interdisciplinary teams
  • Experience with synthetic data generation for training and evaluation of ML Models
  • Experience working with customers to better optimize their ML objectives
  • Fast learner, analytical thinker, creative, hands-on, strong communication skills
  • Able to work both independently and as part of a team
  • Excellent problem-solving skills and attention to detail
  • Experience working with LLMs for problem solving and code production in a safe and responsible manner

Physical Requirements: 

  • Prolonged periods sitting at a desk and working on a computer.
  • Must be able to lift up to 10-15 pounds at times.

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