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Machine Learning Engineer Quantization Jobs in Fredericksburg, VA

Senior IT Project Manager - AI

Quantico, VA · On-site

$138K - $139K/yr

Google Professional Machine Learning Engineer * CompTIA AI Essentials+ (or equivalent AI certification) * Industry-recognized IT service management certification preferred. * Experience with ...

Data Architect

Quantico, VA · On-site

$133K - $222K/yr

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

Senior IT Project Manager - AI

Quantico, VA · On-site

$138K - $139K/yr

Google Professional Machine Learning Engineer * CompTIA AI Essentials+ (or equivalent AI certification) * Industry-recognized IT service management certification preferred. * Experience with ...

Full Stack Developer Location: King George, VA (hybrid work may be available). As a Full Stack ... Artificial Intelligence and Machine Learning Clearance: * Active Secret (willing to get a TS); can ...

Apply advanced analytical, statistical, and programming techniques to interpret large datasets and ... Experience with machine learning, data visualization tools (Tableau, PowerBI), and big data ...

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 ...

Responsibilities As a Full Stack Developer on this program, you will use your expertise and ... Artificial Intelligence and Machine Learning Equal Pay Act This is the projected compensation range ...

Showing results 21-40

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.

System Safety Engineer, Senior

Booz Allen Hamilton

Quantico, VA

$62K - $141K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 28 days ago


Key responsibilities

  • Support system safety implementation and oversight for DoW system programs.

  • Analyze data, develop written deliverables, and assist with the review of system safety artifacts to verify compliance.

  • Lead and manage junior staff in executing safety tasks and provide mentorship.


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

11th of 72 rated business consultants


Job description

System Safety Engineer, Senior

The Opportunity:

Are you looking for an opportunity to combine your technical skills with big picture thinking to make an impact on system safety? Our team supports senior-level DoW and service personnel with system safety implementation and oversight for DoW system programs. You'll leverage your specialized knowledge and expertise in system safety, including applying scientific and engineering principles, criteria, and techniques, to identify and assess system safety hazards and inform the implementation of mitigations to reduce warfighter risk.

As a systems engineer on our team, you'll enjoy a dynamic team environment of client and contractor staff while executing comprehensive system safety programs or individual tasks on a variety of systems, including weapon systems, unmanned systems, ground-based missile systems, surface vessel and support systems, or laser systems. You will be familiar with typical work products, including System Safety Program Plans (SSPP), and a variety of analyses, including Preliminary Hazard Analysis (PHA), Subsystem Hazard Analysis (SSHA), System Hazard Analysis (SHA), Operating and Support Hazard Analysis (O&SHA), Explosive Ordnance Disposal (EOD) analysis, Safety Assessment Reports (SAR), lithium battery certification, and test report evaluations. You'll analyze data, develop written deliverables, assist with the presentation of results, and assist with the review of client system safety artifacts to verify compliance with requirements, policy, and guidance documents. You'll conduct these tasks following established plans and quality standards and have the freedom to improve processes and advance the discipline of system safety. You'll lead and manage junior staff in executing safety tasks and provide mentorship to increase their expertise and capabilities.

Join us. The world can't wait.

You Have:

  • 10+ years of experience in system safety, including implementing and executing DoW system safety programs
  • Experience in the conduct of MIL-STD-882 safety analyses or system safety program implementation
  • Experience obtaining lithium battery certifications
  • Ability to analyze, research, assess, and organize technical data into cohesive and clear technical reports and presentations
  • Ability to organize, schedule, and facilitate technical meetings and working groups
  • Ability to travel up to 25% of the time
  • Secret clearance
  • Bachelor's degree in an Engineering or Science field

Nice If You Have:

  • Experience with NAVSEAINST 8020.6, Weapon System Explosives Safety Review Board (WSESRB), or Software Systems Safety Technical Review Panel (SSSTRP)
  • Experience with digital engineering, machine learning and artificial intelligence, software development, solid-state electrical circuit design, unmanned systems design, human factors engineering, or fault tree analysis
  • Possession of excellent verbal and written communication skills
  • Master's degree in Engineering or Science
  • Certified Safety Professional (CSP), Navy Principal for Safety (PFS), USMC Principal for Environment, Safety, and Occupational Health (PESOH), or Certified Systems Engineering Professional (CSEP) Certification

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.


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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914