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Machine Learning Engineer Quantization Jobs in Fredericksburg, VA

Software Developer TS

Quantico, VA · On-site

$125K - $225K/yr

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 ...

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 ...

The ideal candidate is a self-motivated problem-solver with a passion for learning and a commitment ... Configure and manage virtual machines (VMs), ensuring optimal performance and resource utilization.

The ideal candidate is a self-motivated problem-solver with a passion for learning and a commitment ... Configure and manage virtual machines (VMs), ensuring optimal performance and resource utilization.

Enterprise Architect - Mid Level

Stafford, VA · On-site

$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.

Data Advisor - SME

Quantico, VA · On-site

$180K - $200K/yr

... machine learning (ML), and advanced analytics across USMC capability development activities. This ... Coordinate with data engineers, data scientists, and functional/operational stakeholders to ensure ...

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 ...

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 ...

Data Architect

Quantico, VA · Hybrid

$68.75 - $88.50/hr

Collaborate with data engineering and analytics teams to ensure architectures support machine learning, analytics, and reporting . * Optimize data platform performance through indexing, partitioning ...

Data Advisor - SME

Quantico, VA · On-site

$180K - $200K/yr

... machine learning (ML), and advanced analytics across USMC capability development activities. This ... Coordinate with data engineers, data scientists, and functional/operational stakeholders to ensure ...

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.

Showing results 41-60

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 Sep 4, 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 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 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 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:

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, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,631 per year, or $60.9 per hour.

Software Developer TS

Parsons Corporation

Quantico, VA • On-site

$125K - $225K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago


Key responsibilities

  • Collaborate with engineers, analysts, and other developers to brainstorm and implement solutions for customer needs.

  • Contribute to the development, testing, and refinement of software solutions, ensuring quality, reliability, and performance.

  • Take a leadership role in defining the technical direction of projects and mentor junior team members.


Parsons rating

7.7

Company rating: 7.7 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

268th of 452 rated engineering


Job description

In a world of possibilities, pursue one with endless opportunities. Imagine Next!
At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what's possible.
Job Description:
Parsons Corporation is currently searching for a full-time Software Developer Mid to Senior Level position in Quantico, VA. This position will primarily be working on a data visualization program.
As a leading member of our team, you would work on one or more efforts at a time, assisting and managing multiple parts of the development process.
What You'll Be Doing:
  • Work closely with engineers, analysts, and other developers to brainstorm and implement creative solutions for customer needs.
  • Share expertise in software development, data format visualization, and data analytics to guide the team toward achieving program objectives.
  • Take a leadership role in defining the technical direction of projects, ensuring that the team's efforts align with customer requirements and mission goals.
  • Mentor junior team members, providing guidance on best practices, coding standards, and problem-solving approaches.
  • Contribute to the development of high-quality software solutions, leveraging programming languages like Python and C/C++
  • Collaborate with team members to test and refine code, ensuring reliability, scalability, and performance.
  • Work with tools and frameworks such as AWS, Docker, Kubernetes, and machine learning libraries (e.g., PyTorch, TensorFlow) to enhance the team's capabilities.
  • Participate in brainstorming sessions to identify innovative approaches and refine technical designs.
  • Provide regular updates to team members and stakeholders, fostering transparency and collaboration.
  • Help the team stay ahead of the curve by researching and integrating emerging technologies and methodologies.
  • Take pride in seeing projects through from conception to deployment, knowing that your contributions make a tangible difference.

What Required Skills You'll Bring:
  • Education- BS in Computer Science, Computer Engineering, Software Engineering, or related field
  • 8 years of experience doing Software development at the user or Kernel level, computer programming or digital forensics
  • 5 years of experience in Software Development using C/C++/Java
  • TS clearance and a willingness to sit for a polygraph

What Desired Skills You'll Bring:
  • Knowledge of Perl, Python, Ruby, Javascript
  • Knowledge of NoSQL systems, cloud computing techniques, virtualization, parallel programming, network programming, mobile development, interface development
  • Familiarity with end-to-end software development in Linux, Windows, Unix, and web environments
  • Familiarity with Software Development tools - IDEs such as Eclipse, IntelliJ, and Emacs, version control such as Git and Subversion, and bug tracking systems like Jira.

Security Clearance Requirement:
An active Top Secret security clearance is required for this position.
This position is part of our Federal Solutions team.
The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now.
Salary Range: $125,100.00 - $225,200.00
We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!
Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.
We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY!
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.

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