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Machine Learning Engineer Quantization Jobs in Ashburn, VA

Heven AeroTech

Machine Learning Engineer

Sterling, VA · On-site

Machine Learning Engineer Company: Heven AeroTech Location: Sterling, Virginia FLSA: Exempt About ... Optimize models for edge devices through quantization, pruning, and compression * Deploy inference ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

We're seeking a skilled Machine Learning Engineer to build and deploy production ML systems for the ... Experience with model compression techniques (quantization, pruning, distillation) * Contributions ...

Full Scope

Machine Learning Engineer

Reston, VA

Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly Salary: Competitive We are seeking a highly skilled and motivated Machine Learning Engineer to join ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

Steampunk

Machine Learning Engineer

Mclean, VA

$115K - $150K/yr

We are looking for seasoned Machine Learning Engineer to work with our existing team of Data Scientists and Engineers to use AI/ML technology in supporting Federal use cases. We are looking for a ...

Steampunk

Machine Learning Engineer

Mclean, VA · On-site +1

$115K - $150K/yr

We are looking for a more than just a "Machine Learning Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative Machine ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative Machine ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative ...

Steampunk

Machine Learning Engineer

Mclean, VA · On-site

$115K - $150K/yr

We are looking for a more than just a "Machine Learning Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.

Beyond SOF

Engineer, Machine Learning

Washington, DC · On-site

The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems. Main Responsibilities and Duties: Develop and implement ...

Cymertek

Machine Learning Engineer

Chantilly, VA

Machine Learning Engineer LOCATIONChantilly, VA 20151 CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYWe are seeking a talented and innovative Machine ...

Cymertek

Machine Learning Engineer

Tysons, VA

Machine Learning Engineer LOCATIONTysons, VA 22182 CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYWe are seeking a talented and innovative Machine ...

Beyond SOF

Engineer, Machine Learning

Washington, DC · On-site

The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems. Main Responsibilities and Duties: Develop and implement ...

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Machine Learning Engineer LOCATIONReston, VA 20190 CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYWe are seeking a talented and innovative Machine ...

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

Machine Learning Engineer Quantization information

See Ashburn, VA salary details

$32.2K

$131.7K

$197.9K

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

As of May 30, 2026, the average yearly pay for machine learning engineer quantization in Ashburn, VA is $131,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,800.00 and $158,500.00 per year, depending on experience, location, and employer.

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 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 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 Ashburn, VA? For Machine Learning Engineer Quantization jobs in Ashburn, VA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Quantization jobs in Ashburn, VA look for? The top searched job categories for Machine Learning Engineer Quantization jobs in Ashburn, VA are:
What cities near Ashburn, VA are hiring for Machine Learning Engineer Quantization jobs? Cities near Ashburn, VA with the most Machine Learning Engineer Quantization job openings:
Machine Learning Engineer Quantization jobs near you

Machine Learning Engineer

Heven AeroTech

Sterling, VA • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

Job description

Title:  Machine Learning Engineer
Company: Heven AeroTech
Location: Sterling, Virginia  
FLSA: Exempt

About Our Company:
At Heven AeroTech (Heven), we don't just believe in the power of people-we build our success on it. As a recognized leader in hydrogen powered drones, we've earned recognition for creating a workplace where innovation thrives, collaboration is second nature, and every employee feels valued. Our culture is anchored in trust, and a shared commitment to excellence. We know that great organizations are built by extraordinary teams. That's why we invest in your professional growth, offering robust training programs, leadership development opportunities, and a clear pathway for advancement. At Heven, your voice matters, your ideas are heard, and your contributions make a tangible impact.

Role Summary: 
The Machine Learning Engineer will architect and deploy production AI/ML systems that power autonomous aerospace operations from edge to cloud. This role involves building and maintaining the complete ML lifecycle-spanning from data pipelines to deployed models-with a focus on computer vision for autonomous navigation, LLMs for mission planning, and agentic AI for enterprise optimization. The position requires taking full ownership of system reliability, performance, and the operational excellence necessary to enable next-generation autonomous Unmanned Aircraft Systems (UAS). 

Essential Responsibilities:  

  • Build data processing and training pipelines using Google Cloud
  • Develop computer vision models for obstacle detection, target recognition, and sensor fusion
  • Implement automated retraining workflows and experiment tracking systems
  • Create CI/CD pipelines for model deployment
  • Optimize models for edge devices through quantization, pruning, and compression
  • Deploy inference pipelines on UAS hardware with power and memory constraints
  • Implement visual-inertial odometry for GPS-denied navigation
  • Develop over-the-air updates and offline-capable systems with network fallback
  • Integrate sensor fusion algorithms (camera, LiDAR, radar, IMU)
  • Monitor model performance, latency, and availability against SLAs
  • Build drift detection, A/B testing, and alerting systems
  • Troubleshoot production issues and maintain audit trails
  • Deploy and fine-tune LLMs for mission planning
  • Build RAG systems and agentic AI workflows for enterprise operations 

Qualifications & Experience: 
Required:

  •  Bachelor's degree in Computer Science, Applied Mathematics, or related technical field
  • 5+ years building production ML systems; 3+ years with Google Cloud Platform 
  • Google Professional Machine Learning Engineer Certification (current or obtainable within 1 month)
  • Expert Python; production experience with TensorFlow or PyTorch
  • Computer vision systems: object detection, segmentation, tracking
  • Edge deployment with TensorFlow Lite, TensorRT, or ONNX; model optimization experience
  • MLOps: CI/CD, monitoring, experiment tracking
  • Experience deploying LLMs and RAG systems
  • U.S. Person status; ability to obtain DoD Secret clearance within 6 months 

Strongly Preferred: 

  • Edge hardware deployment (NVIDIA Jetson, Google Coral TPU)
  • Embedded Linux and ROS experience
  • Defense/aerospace industry background
  • Additional Google Cloud certifications
  • Domain expertise: GPS-denied navigation, sensor fusion, UAV/drone systems, or adversarial ML 

Physical Requirements: 

  • The ability to maintain a stable, upright seated or standing position for extended periods (typically 6-10 hours per day) without significant physical fatigue.
  • High-frequency use of fingers and wrists for data entry, complex coding, and navigating digital interfaces using keyboards and mice.
  • The capacity for "near-point" visual tasking, involving the ability to focus on high-resolution displays for long durations and process dense information without excessive eye strain. 

Benefits Overview: 
Heven AeroTech offers a competitive benefits package designed to support the health, financial security, and overall well-being of our employees and their families. Benefits include medical, dental, and vision coverage, retirement plans, paid time off/sick, and additional protections such as critical illness, hospital indemnity, accident coverage, and short- and long-term disability.

Equal Employment Opportunity Statement: 
Heven AeroTech is an Equal Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under applicable law.

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