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Machine Learning Engineer Quantization Jobs in Fredericksburg, VA

SCCI

Junior Engineer/Analyst

King George, VA · On-site

... and machine learning operations. The main duty for this position is to design, optimize, and ... Enabling our software developers by providing the foundational tools, reliable deployment workflows ...

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

$123K - $148K/yr

... machine learning models and analytics workflows • Develop and maintain APIs for data access and ... engineering practices • Provide ad hoc data analysis and support self-service data access for ...

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.

Socket.dev

Senior Data Scientist

Triangle, VA · On-site

$140 - $190/hr

OneLake -- experience accessing and engineering features from OneLake (Lakehouse, Delta tables, shortcuts). * Azure AI -- production experience with Azure Machine Learning and Azure AI services.

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 Inc

Data Scientist- Senior

Quantico, VA · On-site

The ideal candidate will possess deep expertise in statistical modeling, machine learning, and big ... such as economics, engineering, or physics) • Minimum 10 years of relevant professional ...

Rividium Inc

Data Scientist- Senior

Quantico, VA · On-site

The ideal candidate will possess deep expertise in statistical modeling, machine learning, and big ... such as economics, engineering, or physics) • Minimum 10 years of relevant professional ...

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

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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 Aug 11, 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 are popular job titles related to Machine Learning Engineer Quantization jobs in Fredericksburg, VA? For Machine Learning Engineer Quantization jobs in Fredericksburg, VA, the most frequently searched job titles are:
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 August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $126,631 per year, or $60.9 per hour.

Machine Learning Engineer / AI Model Developer (Mid to Senior) (Secret Clearance Required) (Hybrid)

Solerity, Inc.

Quantico, VA • On-site

$129K - $171K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Job description

Job Type
Full-time
Description
Take the next step in your career with Solerity. As a recognized leader in providing Information Technology, Engineering Services, Program Management, and Consulting Services to the U.S. Federal Government and Intelligence Community, we deliver innovative, mission-focused solutions supporting some of the nation's most critical missions in data analytics, software engineering, and advanced technology systems.
Solerity is seeking Mid to Senior Machine Learning Engineers and AI Model Developers to support an upcoming Federal program expected to begin in late August/September 2026. This effort focuses on developing, evaluating, and integrating machine learning models within a secure Impact Level 5 (IL5) environment supporting Controlled Unclassified Information (CUI).
This role offers the opportunity to work alongside government and technical teams to build production-ready AI/ML capabilities while establishing repeatable evaluation processes and model selection methodologies that directly support mission outcomes.
Responsibilities Include:
  • Design, develop, train, evaluate, and deploy machine learning models supporting mission objectives.
  • Collaborate with Government stakeholders to define AI/ML problems, success metrics, and evaluation criteria.
  • Develop Model Selection Briefs documenting model performance, trade studies, reproducibility artifacts, and technical recommendations.
  • Integrate Government-provided human baseline results into model evaluation and performance analysis.
  • Design and coordinate Human-in-the-Loop (HITL) baseline experiments when baseline data does not exist.
  • Support implementation and operational integration of production-ready machine learning models.
  • Collaborate with data engineers to prepare, validate, and optimize datasets for AI/ML workloads.
  • Develop backend services and APIs supporting AI-enabled applications.
  • Support cloud-native model development, deployment, and lifecycle management within secure environments.
  • Participate in architecture discussions, code reviews, testing, documentation, and quality assurance activities.
  • Work closely with Government customers and Agile development teams to deliver innovative AI solutions that meet mission requirements.
REQUIREMENTS YOU BRING:
  • Active Top Secret Security Clearance
  • Ability to obtain and maintain access required for the program.
Preferred Qualifications
  • Experience supporting Department of Defense or Federal Government AI/ML programs.

Requirements
BENEFITS YOU'LL ENJOY:
1. Medical, dental and vision coverage
2. Health Savings Accounts and Flexible Spending Accounts for healthcare and dependent care
3. Flexible work schedule to include onsite, hybrid or remote, as dictated by position
4. 401(k) and company-funded life insurance
5. Generous Paid Time Off (PTO)
6. Tuition and training assistance
7. Financial rewards for employee referrals.
8. Pet insurance
9. Employee discount program
EMPLOYMENT OPPORTUNITIES: Solerity is committed to the range of perspectives we bring to the marketplace by being an employer dedicated to hiring a highly qualified team of professionals, providing world class services and products aimed at exceeding our customer's expectations. Solerity is an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities. Solerity is a VEVRAA Federal Contractor.
APPLY TODAY!
JOB ID- 359

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