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Entry Level Machine Learning Engineer Jobs in Fredericksburg, VA

Work closely with engineers, analysts, and other developers to brainstorm and implement creative ... Work with tools and frameworks such as AWS, Docker, Kubernetes, and machine learning libraries (e.g ...

Enterprise Architect - Mid Level

Stafford, VA

$68.75 - $88.75/hr

Technical education related to any of the following: data modeling, systems engineering, machine learning and predictive analysis, agile software development and build methodologies, or simulation.

Infrastructure Engineer

King George, VA · On-site

$63K - $127K/yr

The ideal candidate is a self-motivated problem-solver with a passion for learning and a commitment ... Working knowledge of VMware and virtual machine configuration. Proficiency with Linux (RHEL and ...

The ideal candidate is a self-motivated problem-solver with a passion for learning and a commitment ... Working knowledge of VMware and virtual machine configuration. Proficiency with Linux (RHEL and ...

Technical education related to any of the following: data modeling, systems engineering, machine learning and predictive analysis, agile software development and build methodologies, or simulation.

Occasionally move about inside the office to access file cabinets, office machinery, or to ... Learning and Development opportunities, wellness programs as well as other optional benefit ...

During on-the-job learning (OJL) you will work with complex high-performance manufacturing systems ... Amazon AEA apprentices are engaged in the assembly and maintenance of complex machines, plants, and ...

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Entry Level Machine Learning Engineer information

See Fredericksburg, VA salary details

$29.5K

$68.2K

$116K

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

As of Sep 5, 2026, the average yearly pay for entry level machine learning engineer in Fredericksburg, VA is $68,210.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,600.00 and $77,200.00 per year, depending on experience, location, and employer.

What is an entry level machine learning engineer?

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 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 are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

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 the most commonly searched types of Machine Learning Engineer jobs in Fredericksburg, VA?

The most popular types of Machine Learning Engineer jobs in Fredericksburg, VA are:

What job categories do people searching Entry Level Machine Learning Engineer jobs in Fredericksburg, VA look for?

The top searched job categories for Entry Level Machine Learning Engineer jobs in Fredericksburg, VA are:

What cities near Fredericksburg, VA are hiring for Entry Level Machine Learning Engineer jobs?

Cities near Fredericksburg, VA with the most Entry Level Machine Learning Engineer job openings:

Infographic showing various Entry Level Machine Learning Engineer job openings in Fredericksburg, VA as of August 2026, with employment types broken down into 4% Internship, 85% Full Time, and 11% Contract. Highlights an 74% In-person, 2% Hybrid, and 24% Remote job distribution, with an average salary of $68,210 per year, or $32.8 per hour.

Junior Thermal Research Engineer

Boyd Corporation

Fredericksburg, VA • On-site

$65 - $90/hr

Other

Posted 4 days ago


Job description

Job Description

The Junior Thermal Research Engineer will work within a multidisciplinary engineering team to develop innovative thermal management and test solutions for high-performance electronics and data center systems. The role combines thermal system design, modeling, experimentation, and data science techniques, with a focus on enabling faster design cycles and improved system-level insight.

Primary Responsibilities
  • Support the design and development of thermal management systems, including liquid cooling, two-phase cooling, and heat exchanger-based architectures
  • Cooling system design including cold plates, cooling distribution units (CDUs) and passive two-phase solutions (heat pipes and vapor chambers)
  • Develop and apply thermal-fluid modeling tools (steady-state and transient) for system-level performance prediction, including pressure drop, heat transfer, and coolant distribution
  • Implement and use machine learning, AI and data-driven methods
  • Support data center cooling system modeling, including rack-level and component-level thermal architecture analysis
  • Conduct design of experiments (DOE) and support experimental testing, including instrumentation, data acquisition, and validation of models
  • Create and maintain CAD models and engineering documentation (e.g., SolidWorks designs, P&IDs, drawings, and test plans)
  • Assist in development of computational tools and simulation frameworks (Python, MATLAB) to support engineering decision-making and research activities
  • Support prototype development and testbed construction, including integration of thermal systems and measurement capabilities
  • Collaborate with senior engineers and researchers to:
    • Evaluate new cooling technologies
    • Improve system efficiency and performance
    • Identify key design tradeoffs
  • Contribute to technical documentation, reports, and presentations of results
  • Support component and material selection for thermal systems (heat exchangers, sensors, cooling loops)
  • Assist in manufacturing and assembly support, including prototype builds and testing
Basic Qualifications
  • Master’s or PhD degree in Mechanical Engineering or related field
  • Eaton will not consider applicants for employment immigration sponsorship or support for this position. This means that Eaton will not support any CPT, OPT, or STEM OPT plans, F-1 to H-1B, H-1B cap registration, O-1, E-3, TN status, I-485 job portability, etc.

Relocation may be offered for the role, must be currently located in the United States.

Preferred Experience
  • Exposure to data center cooling or high-performance electronics thermal management
  • Experience developing reduced-order or surrogate models for thermal systems
  • Familiarity with optimization-driven design workflows
  • Experience integrating modeling and experimental validation
  • Focus or coursework in heat transfer, fluid dynamics, or thermal systems required
  • Laboratory experience
  • Graduate research experience in thermal-fluid sciences or cooling technologies strongly preferred

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All Job Posting Locations: Fredericksburg Remote Type On-Site

EEO Statement

Boyd Corp is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Boyd is the trusted global innovator of sustainable solutions that make our customers’ products better, safer, faster, and more reliable. As a leader in the industry we focus on our people, customers, technology, innovation, materials, and market needs of today and performance requirements of the future. We are always looking for ambitious minds to help us deliver advanced technology to our customers. Together we solve the challenges of today and empower solutions of tomorrow. Boyd is the world’s leading innovator in sustainable engineered material that make our customers’ products better, safer, faster, and more reliable. We develop and combine technologies to solve ambitious performance targets in our customers’ most critical applications. By implementing technologies and material science in novel ways to seal, protect, cool, and interface, Boyd has continually redefined the possible and championed customer success for over 90 years.

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