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Machine Learning Engineer Quantization Jobs in Fredericksburg, VA

SCCI

Senior Software Developer

King George, VA · On-site

$51 - $67.25/hr

This role demands deep expertise in applied machine learning, with a direct hand in prototyping and ... techniques (quantization, pruning, distillation, or equivalent) * Demonstrated experience ...

RIVIDIUM

Data Engineer

Quantico, VA

$123K - $148K/yr

Support and operationalize machine learning models and analytics workflows * Develop and maintain ... Promote best practices in data engineering, governance, and data lifecycle management * Support ...

RiVidium, Inc

Data Engineer

Quantico, VA · On-site

$121K - $145K/yr

Support and operationalize machine learning models and analytics workflows * Develop and maintain ... Promote best practices in data engineering, governance, and data lifecycle management * Support ...

RecruitTalent LLC.

Data Scientist

Fredericksburg, VA · On-site

$60 - $70/hr

Programming & Analysis: Python, R, SQL, Power Query, or PySpark. * Machine Learning & AI: scikit-learn, TensorFlow, Keras, or PyTorch. * Data Visualization: Power BI, Tableau, Matplotlib, or Plotly.

Booz Allen Hamilton

Data Scientist

Stafford, VA · On-site

... purpose programming languages for data analysis • Experience analyzing structured and ... Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing • ...

RIVIDIUM

Data Scientist- Senior

Quantico, VA

The ideal candidate will possess deep expertise in statistical modeling, machine learning, and big ... Strong proficiency in programming languages such as Python, R, Java, C++, MATLAB , or similar

RiVidium, Inc

Data Scientist- Senior

Quantico, VA · On-site

The ideal candidate will possess deep expertise in statistical modeling, machine learning, and big ... Strong proficiency in programming languages such as Python, R, Java, C++, MATLAB , or similar

Barrow Wise Consulting

Systems Engineer

King George, VA · On-site

$100K - $150K/yr

The Systems Engineer will support Barrow Wise's Department of Defense project and perform the ... Machine Learning, and IoT, and helping customers define and implement them into their enterprise

ManTech

Logistics Analyst AI Coordinator

Stafford, VA

$107K - $179K/yr

Demonstrated data and AI literacy, including a foundational understanding of machine learning algorithms, data engineering pipelines, artificial neural networks, and edge computing. * Proven ...

JCTM, LLC

Data Science SME

Quantico, VA · On-site

$119K - $133K/yr

Collaborate with data engineers software developers cloud engineers operational planners and other ... Demonstrated expertise in data mining machine learning statistical modeling predictive analytics ...

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All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in Fredericksburg, VA

Machine Learning Engineer Quantization information

See Fredericksburg, VA salary details

$31K

$126.6K

$190.3K

How much do machine learning engineer quantization jobs pay per year?

As of Jul 16, 2026, the average yearly pay for machine learning engineer quantization in Fredericksburg, VA is $126,631.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $152,400.00 per year, depending on experience, location, and employer.

What are some common challenges Machine Learning Engineers face when implementing quantization techniques in production models?

Machine Learning Engineers working on quantization often encounter challenges such as balancing reduced model size and computational efficiency with maintaining acceptable accuracy levels. Adapting quantization methods to different hardware platforms can also require significant testing and optimization. Additionally, engineers must frequently address compatibility issues with existing deployment pipelines and ensure that quantization-aware training is properly integrated to minimize performance degradation. Collaboration with hardware and software teams is essential to streamline deployment and achieve optimal results.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Quantization, and why are they important?

To thrive as a Machine Learning Engineer Quantization, you need a solid background in machine learning, deep learning, and computer science, typically supported by a degree in a related field. Familiarity with quantization techniques, frameworks such as TensorFlow Lite or PyTorch, and experience with hardware accelerators are crucial. Strong problem-solving skills, attention to detail, and effective collaboration set top performers apart. These capabilities are vital for efficiently deploying high-performing models on resource-constrained devices and ensuring scalable, real-world AI solutions.

What does a Machine Learning Engineer Quantization do?

A Machine Learning Engineer specializing in quantization focuses on optimizing machine learning models by reducing their size and computational requirements without significantly sacrificing accuracy. This involves converting model parameters and computations from high-precision formats (like 32-bit floating point) to lower-precision formats (such as 8-bit integers). Quantization enables faster inference, lower memory usage, and allows models to run efficiently on edge devices and mobile platforms. These engineers work closely with data scientists and hardware teams to implement, test, and validate quantized models in production environments.

What is the difference between Machine Learning Engineer Quantization vs Data Scientist?

AspectMachine Learning Engineer QuantizationData Scientist
Required CredentialsBachelor's or master's in CS, ML, or related; certifications in ML or AIBachelor's or master's in statistics, CS, or related; certifications in data analysis or statistics
Work EnvironmentDeveloping optimized ML models, deploying quantized models for efficiencyAnalyzing data, building predictive models, interpreting results
Industry UsageTech companies, AI hardware firms, embedded systemsFinance, healthcare, marketing, research institutions

Machine Learning Engineer Quantization focuses on optimizing ML models for deployment efficiency, often working closely with hardware and software teams. Data Scientists analyze data and build models for insights. While both roles require ML knowledge, quantization engineers specialize in model compression techniques, whereas data scientists focus on data analysis and interpretation.

What job categories do people searching Machine Learning Engineer Quantization jobs in Fredericksburg, VA look for? The top searched job categories for Machine Learning Engineer Quantization jobs in Fredericksburg, VA are:
What cities near Fredericksburg, VA are hiring for Machine Learning Engineer Quantization jobs? Cities near Fredericksburg, VA with the most Machine Learning Engineer Quantization job openings:
Machine Learning Engineer Quantization jobs near you
Infographic showing various Machine Learning Engineer Quantization job openings in Fredericksburg, VA as of July 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $126,631 per year, or $60.9 per hour.

Senior Software Developer

SOUTHEASTERN COMP CONSULTANTS INC

King George, VA

$51 - $67.25/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

Job description

Overview

SCCI is currently seeking a Senior Software Developer to join our team! In this position you will work in a newly established R&D department focused on delivering next-generation autonomous systems and immersive training solutions for defense and government customers. This role demands deep expertise in applied machine learning, with a direct hand in prototyping and fielding AI-driven capabilities that address real operational requirements. The ideal candidate brings a proven track record of translating complex ML concepts into working systems within the constraints of defense hardware, software, and security environments. If you are motivated by mission-critical impact and the challenge of building at the edge of what is possible, we want to hear from you! This position is located in Dahlgren, VA.

SCCI offers a comprehensive and competitive benefits package including Health, Dental, Vision, Life and Disability benefits, 401k with Company Match, time off consisting of 2 weeks of paid vacation, 48 hours of sick/personal leave, and 11 paid Holidays.

Responsibilities:

  • Proactively identifies emerging DoD capability gaps and operational needs, developing AI/ML prototype concepts in advance of formal government solicitations to position SCCI for OTA responses, SBIR/STTR opportunities, and DoD challenge competitions
  • Drives the R&D technical vision for AI/ML capabilities, with a current focus on computer vision, edge-based inference, and autonomous swarm control while continuously scanning the threat and technology landscape to anticipate the next competitive frontier
  • Translates operational military requirements into prototype AI/ML solutions that are demonstrable, defensible, and transition-ready for program of record or follow-on acquisition
  • Collaborates with Program Manager to document technical project objectives, effort estimates, and milestone schedules for AI/ML R&D efforts and tracking execution against plan
  • Designs, develops, and iterates AI/ML prototype solutions with emphasis on computer vision applications for edge-deployed systems
  • Develops and optimizes models for deployment on resource-constrained edge hardware, balancing inference performance, power envelope, and operational reliability
  • Integrates AI/ML capabilities into simulation and training environments to produce adaptive, hyper-realistic training scenarios that respond dynamically to trainee behavior and mission context
  • Maintains a working prototype pipeline that enables rapid demonstration to government customers, OTA consortia, and DoD evaluators with minimal lead time
  • Identifies and escalates technical risks early, proposes mitigation approaches, and adjusts development priorities to keep prototype efforts on schedule and within resource constraints
  • Mentors and technically guides junior and mid-level developers in applied AI/ML concepts, development practices, and defense problem framing — building internal depth in a skill area where bench strength is currently limited
  • Establishes repeatable development patterns, coding standards, and documentation practices that enable the broader team to contribute meaningfully to AI/ML prototype efforts over time
  • Actively monitors competitor capabilities, government R&D investment trends, and emerging academic and commercial AI/ML advances to ensure SCCI maintains a differentiated and defensible position in the autonomous systems and simulation training marketspace
  • Contributes technical concepts for white papers, capability briefs, technical volumes, and proposal content that articulate SCCI’s AI/ML vision and prototype achievements to government customers and industry partners

Essential Skills and Experience:

  • Must be a U.S. Citizen and have an active Secret Security Clearance
  • Bachelor of Science (BS) degree in Computer Science, Electrical Engineering, Applied Mathematics, or a closely related technical field required
  • Five (5) - Seven (7) years of hands-on applied AI/ML development with a portfolio of prototype or fielded systems demonstrating end-to-end ownership from concept through demonstration
  • Demonstrated expertise in computer vision development and deployment, including object detection, tracking, classification, and scene understanding in operationally relevant contexts
  • Proven experience deploying AI/ML models to edge hardware under real-world constraints of limited compute, power, bandwidth, and connectivity with demonstrated optimization techniques (quantization, pruning, distillation, or equivalent)
  • Demonstrated experience developing AI/ML solutions that implement human-machine teaming principles reducing operator cognitive load in high-tempo, data-rich operational environments through intelligent automation, prioritized cueing, and adaptive interface behavior and maintaining human-on-the-loop or human-in-the-loop control consistent with DoD AI ethics and autonomy policy
  • Demonstrated track record of delivering working prototypes on compressed timelines without detailed requirements, translating ambiguous operational problems into functional, demonstrable AI/ML solutions
  • Demonstrated ability to own a technical effort completely from planning, execution, risk management, through delivery with minimal oversight
  • Demonstrated experience defining technical project objectives, estimating work effort and milestone schedules while holding themselves and their team accountable to delivery without external management pressure
  • Demonstrated experience mentoring and technically leveling up junior and mid-level developers in applied AI/ML, producing measurable growth in team capability over time
  • Proven ability to establish development standards, reusable patterns, and documentation practices that extend their own impact across a small team
  • Experience working within DoD, defense contractor, or government R&D environments with familiarity of military operational contexts, acquisition frameworks, and transition pathways
  • Demonstrated experience presenting prototype capabilities and technical concepts to government customers, OTA consortia, program offices, or at defense industry events
  • Proficiency with Atlassian suite, Google Workspace, and Microsoft Office tools for project tracking, documentation, and cross-functional collaboration
  • Demonstrated use of AI-assisted development tools to accelerate R&D workflows and prototype velocity
  • Demonstrated experience identifying, evaluating, and recommending compute and hardware infrastructure for AI/ML development and testing environments, including edge devices, GPUs, and supporting lab equipment

Preferred Skills and Experience:

  • Active Top Secret Security Clearance                  

SCCI is committed to providing a comprehensive and competitive benefits package to meet the needs of Employees and their families. EOE of  Veterans and Disabilities.

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