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Senior Machine Learning Engineer Jobs in Broad Run, VA

Machine Learning Engineer- Senior

Chantilly, VA · On-site

$125K - $165K/yr

Overview SOSi is seeking a skilled Machine Learning Engineer to support a US government customer in Chantilly, VA. In this job you will work with other talented data scientists, software developers ...

Machine Learning Engineer- Senior

Chantilly, VA · On-site

$125K - $165K/yr

Overview SOSi is seeking a skilled Machine Learning Engineer to support a US government customer in Chantilly, VA. In this job you will work with other talented data scientists, software developers ...

Machine Learning Engineer

Ashburn, VA · On-site

$112K - $177K/yr

We are seeking a Machine Learning Engineer to join our team and support our client in Ashburn, VA. The ideal candidate will bring hands-on experience in machine learning, advanced analytics, and AI ...

Machine Learning Engineer

Chantilly, VA · On-site

$131K - $290K/yr

Machine Learning Engineer Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required:

... of machine learning/statistical modeling data analysis tools and techniques Preferred Qualifications: - Master's degree or above in Science, Technology, Engineering, or Mathematics (STEM ...

New

Showing results 21-40

Senior Machine Learning Engineer information

See Broad Run, VA salary details

$57.5K

$122.4K

$177.4K

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

As of Sep 5, 2026, the average yearly pay for senior machine learning engineer in Broad Run, VA is $122,381.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,100.00 and $138,800.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near Broad Run, VA are hiring for Senior Machine Learning Engineer jobs?

Cities near Broad Run, VA with the most Senior Machine Learning Engineer job openings:

Infographic showing various Senior Machine Learning Engineer job openings in Broad Run, VA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,381 per year, or $58.8 per hour.

Machine Learning Engineer - Autonomy

Heven AeroTech

Sterling, VA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Job description

Title: Machine Learning Engineer, Autonomy
Company: Heven AeroTech
Location: Bingen, Washington or 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 believe great teams are built on individuals who are humble, hungry, and smart—those who put team success first, take initiative to continuously improve, and demonstrate strong interpersonal awareness. At Heven, your voice matters, your ideas are heard, and your contributions make a tangible impact as you grow through hands-on experience and collaboration across the team.

Role Summary:
Reporting to the Head of Mission Systems and Software, the Machine Learning Engineer - Autonomy develops and deploys machine learning and autonomy capabilities for Heven AeroTech uncrewed aircraft systems. The role focuses on practical UAS autonomy, including perception, tracking, sensor fusion, mission-level decision making, planning, and integration with flight-control, mission-system, onboard-compute, and payload interfaces. This engineer works closely with other Machine Learning Engineers, Platform Engineers, Flight Test, and aircraft engineering teams to take autonomy capabilities from development through simulation, integration, ground test, and flight test.

Essential Responsibilities:

  • Develop, integrate, and deploy machine learning and autonomy capabilities for uncrewed aircraft, with emphasis on reliable operation on real aircraft and onboard compute.
  • Develop mission-level autonomous behaviors using appropriate combinations of state machines, behavior trees, planners, optimization methods, deterministic logic, and machine learning.
  • Develop and integrate perception capabilities including object detection, classification, tracking, scene understanding, sensor fusion, and geospatial reasoning.
  • Integrate autonomy software with autopilots, companion computers, mission computers, sensors, payloads, data links, and GCS/C2 systems while maintaining clear interfaces with flight-control functions.
  • Develop production-quality C++ and Python software for real-time and near-real-time execution, including optimization for NVIDIA GPU and embedded edge-compute platforms.
  • Develop and use simulation, SIL, HIL, bench-test, and automated test environments to evaluate autonomy behavior and reduce risk prior to flight.
  • Support aircraft integration, ground test, and flight test of autonomy capabilities, including analysis of logs and test data to characterize performance and drive improvements.
  • Collaborate across Heven AeroTech with Machine Learning Engineers, Platform Engineers, Flight Test, avionics, electrical, mechanical, and other engineering teams.

Qualifications & Experience:

Required:

  • BA/BS degree in Computer Science, Electrical Engineering, Robotics, Aerospace Engineering, or a related technical field, or equivalent practical experience.
  • 2-5 years of experience developing and deploying machine learning or autonomy software on robotic, autonomous, or UAS platforms.
  • Strong C++ and Python development skills, including Linux-based development and modern machine learning frameworks.
  • Working knowledge of perception, sensor integration, autonomous decision making or planning, and real-time system integration.
  • Professional working proficiency in English (spoken and written) is required to perform the responsibilities of this role.

Preferred:

  • Direct experience with UAS autonomy, aircraft integration, or flight test.
  • Experience with NVIDIA edge compute, CUDA/TensorRT, ROS 2, MAVLink, or comparable robotics and vehicle interfaces.
  • Aerospace or defense experience and eligibility to obtain a DoD Secret clearance.

Physical Requirements:

  • Ability to work effectively in a standard office, engineering laboratory, aircraft integration, hangar, and outdoor flight-test environment.
  • Ability to stand, walk, bend, kneel, reach, and work around aircraft, ground-support equipment, test equipment, and computing hardware for extended periods as required.
  • Ability to lift, carry, and position equipment and components weighing up to 25 pounds, with or without reasonable accommodation.
  • Ability to safely work in outdoor environments and varying weather conditions during ground and flight-test activities.
  • Ability to work around aircraft systems, electrical equipment, rotating equipment, batteries, and other laboratory/flight-test hazards while following applicable safety procedures and PPE requirements.
  • Ability to visually inspect equipment, read computer displays, instrumentation, schematics, logs, and test data, with or without reasonable accommodation.
  • Ability to work flexible hours, including early mornings, evenings, or occasional weekends, when required to support aircraft integration, ground testing, or flight-test operations.
  • Ability and willingness to travel to company facilities, customer sites, and/or designated flight-test locations as required by the position.

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.

Budgeted Salary Range:
$110,000—$165,000 USD