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Entry Level Machine Learning Engineer Jobs in Manassas, VA

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 ...

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 ...

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 ...

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

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 ...

Entry-Level Software Programmer SYNERGISTIC wants every candidate to know we are always here to support your efforts. Indeed engagement is a priority for all SYNERGISTICIT Employees. No matter what ...

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Entry Level Machine Learning Engineer information

See Manassas, VA salary details

$30K

$69.4K

$118K

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

As of Jun 11, 2026, the average yearly pay for entry level machine learning engineer in Manassas, VA is $69,367.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 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 popular job titles related to Entry Level Machine Learning Engineer jobs in Manassas, VA? For Entry Level Machine Learning Engineer jobs in Manassas, VA, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Manassas, VA look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Manassas, VA are:
What cities near Manassas, VA are hiring for Entry Level Machine Learning Engineer jobs? Cities near Manassas, VA with the most Entry Level Machine Learning Engineer job openings:
Infographic showing various Entry Level Machine Learning Engineer job openings in Manassas, VA as of June 2026, with employment types broken down into 11% Internship, 69% Full Time, 14% Part Time, and 6% Temporary. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $69,367 per year, or $33.3 per hour.
Machine Learning Engineer

Machine Learning Engineer

Frederick Community College

Bethesda, MD • On-site

Other

Medical, Dental, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Machine Learning Engineer

EMI Advisors LLC (EMI Advisors) is a boutique technology and innovation advisory firm that harnesses disruptive solutions for the greater good. Our team works side-by-side with our client-partners to provide strategic, operational, and technical guidance across the health, human services, defense, and information technology sectors. We are mission-driven and energized by the opportunity to collaborate with smart, diverse, and passionate people every day. It is our privilege to design and build solutions that improve the health and well-being of individuals, communities, and societies.

EMI Advisors values candidates with a growth mindset: believing your talents can be developed through hard work, smart strategies, and input from others.

About the Role

From your first day at EMI Advisors, you will be both challenged and empowered to make a tangible impact, contributing meaningfully to client-facing projects and the long-term products that define our company. You will play an active role in shaping, refining, and expanding EMI Advisors' core software capabilities. Working closely with data scientists, software engineers, and DevOps engineers, you will help bridge the gap between machine learning models and fully operational, real-world solutions.

This role is a strong fit if you combine deep technical skills with a genuine desire to grow and stretch what you thought was possible. You are driven by outcomes and excited by the challenge of applying software engineering and data science to problems that have real consequences. You understand that delivering client-centered solutions, communicating with clarity, and building capabilities that scale and repeat are what separate good work from lasting impact.

Your day-to-day will include:

  • Developing machine learning models and custom analytic algorithms that are applied to time series, geospatial, image, video, text, and structured data.
  • Orchestrating and automating complex data engineering and analytic pipelines.
  • Envisioning, specifying, and designing and implementing the core product functionality.
  • Conducting mission-critical work in support of clients and partners.
Required Qualifications
  • BS or BA degree in Engineering, Statistics, Math, Economics, Computer Science, Data Science, Cognitive Science, or a related discipline and 2+ years of relevant experience.
  • Proven track record designing and delivering data-centric systems, spanning data engineering, data cleaning, ETL pipelines, machine learning, and production analytics.
  • Fluency in programming languages and libraries central to machine learning is required, with Python expertise being essential; working knowledge of frameworks such as TensorFlow, PyTorch, and/or scikit-learn is expected.
  • Strong foundation in software engineering fundamentals, including algorithms, data structures, and design patterns, along with proficiency in at least one systems programming language (e.g., Go, Rust, C++, Java, or Scala).
  • Hands-on experience with modern software engineering tools and practices, including Agile methodologies, version control, issue tracking, CI/CD pipelines, and debugging.
  • Eligibility and willingness to obtain and maintain a Secret (or above) U.S. security clearance.
Preferred Qualifications
  • Advanced degree (MA, PhD) in Engineering, Statistics, Math, Economics, Computer Science, Data Science, Cognitive Science, or a related discipline.
  • Familiarity with client-server architectures and relevant design patterns, including asynchronous programming, REST, GraphQL, and modern frontend frameworks such as React, Vue, or Angular.
  • Demonstrated experience deploying software into containerized or cloud-based environments, including familiarity with tools such as Docker, Kubernetes, infrastructure-as-code practices, and major cloud platforms.
  • Background working across a range of structured and unstructured data types, such as imagery, full motion video, text, acoustic, sonar, RF, and telemetry signals.
  • Experience developing agentic systems, agentic workflows, or AI agents.
  • Proven ability to define, scope, plan, and see complex technical solutions through to delivery.
  • Experience guiding or leading a small technical team.
  • Experience delivering technology solutions in secure government environments.
  • Active Secret (or above) U.S. security clearance.
Benefits and Perks
  • Flexible work schedule
  • 401(k)
  • Health benefits
  • Medical and dental insurance
  • Tuition assistance
  • Referral program
  • Paid time off

EMI Advisors is an equal opportunity employer. We prohibit discrimination and harassment of any kind. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. EMI Advisors makes hiring decisions based solely on qualifications, merit, and business needs at the time.