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Machine Learning Software Engineer Jobs in Washington, DC

We are seeking a Machine Learning Engineer with a passion for building mission-critical ... Collaborate with cross-functional software engineers and cloud architects to integrate ML models ...

Machine Learning Engineer

Chantilly, VA ยท On-site

$131K - $290K/yr

Machine Learning Engineer Job Category: Information Technology Time Type: Full time Minimum ... CACI is seeking a Software Developer with AI experience to join our dynamic team. This role will ...

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this ... Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.

... software engineering & best practices for the full software development life cycle, including ... of machine learning/statistical modeling data analysis tools and techniques Preferred ...

... software engineering & best practices for the full software development life cycle, including ... of machine learning/statistical modeling data analysis tools and techniques Preferred ...

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Showing results 21-40

Machine Learning Software Engineer information

See Washington, DC salary details

$71.9K

$167.1K

$232.8K

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

As of Sep 9, 2026, the average yearly pay for machine learning software engineer in Washington, DC is $167,139.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,000.00 and $196,000.00 per year, depending on experience, location, and employer.

What does a machine learning software engineer do?

A Machine Learning Software Engineer designs, develops, and deploys machine learning models within software applications. They work on data preprocessing, model training, optimization, and integration into production systems. Their role requires expertise in programming (Python, Java, or C++), machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn), and cloud platforms. They collaborate with data scientists and software engineers to build scalable ML solutions.

What are the key skills and qualifications needed to thrive as a machine learning software engineer?

To thrive as a Machine Learning Software Engineer, you need a solid understanding of programming (especially Python), algorithms, data structures, and mathematics, ideally backed by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, familiarity with cloud platforms (AWS, Azure, or GCP), and relevant certifications in data science or machine learning are highly valuable. Strong problem-solving skills, effective communication, and the ability to work collaboratively with cross-functional teams set outstanding candidates apart. These competencies are crucial for building deployable, scalable, and maintainable machine learning solutions that address real business challenges.

Is machine learning software engineer a high paying job?

Machine learning software engineers typically earn high salaries due to the specialized skills required, such as proficiency in programming languages like Python and experience with frameworks like TensorFlow. Salaries vary based on experience, location, and industry, but overall, it is considered a well-compensated role in the tech field.

What are popular job titles related to Machine Learning Software Engineer jobs in Washington, DC?

For Machine Learning Software Engineer jobs in Washington, DC, the most frequently searched job titles are:

Infographic showing various Machine Learning Software Engineer job openings in Washington, DC as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $167,139 per year, or $80.4 per hour.

Machine Learning Engineer - R126

Herndon, VA โ€ข On-site

Expedition Technology
Guided Missile and Space Vehicle Manufacturingย โ€ขย 51 - 200 employees

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 hours ago


Job description

At Expedition Technology (EXP), we work on real-world problems whose solutions will make an immediate impact on national security. If you desire an opportunity where you will apply your deep learning and software engineering expertise to challenging problems with no known solutions, EXP is the place to be!
Currently, we are seeking an experienced Deep Learning Software Engineer who will work with a dynamic team that is delivering novel solutions to our Intel Community. We're looking for someone who has in-depth understanding of Deep Learning architectures such as YOLO, RF-DETR, CLIP, DINO and other state of the art object detection models and techniques. The candidate should feel comfortable developing and testing end-to-end deployable systems; from sourcing and curating data, building, training, and evaluating models, to productizing final deliverables.
If you feel fulfilled by rolling up your sleeves and thinking about hard problems, building and integrating learning-based algorithms and systems, and delivering robust solutions in a fast paced but scientifically rigorous environment, we want to hear from you!
Interested in joining our team? Here's what you'll need to succeed:
Responsibilities include:

  • Working in a team to develop deep learning architectures and pipelines for novel applications
  • Implementing solutions in Python (PyTorch)
  • Delivering high-quality, carefully tested software
  • Participate in team brainstorming sessions to shape innovative solutions
  • Researching academic literature to keep abreast of the latest theories, techniques, and tools
Required Skills and Experience:

  • An active Secret clearance (TS/SCI preferred)
  • US Citizenship - must be eligible to maintain a US-Government issued security clearance of Top Secret or higher
  • MS and 2+ years of experience or BS and 4+ years of experience in a technical field such as Computer Science, Electrical Engineering, Physics, Statistics, or Applied Mathematics
  • Proven proficiency in PyTorch, TensorFlow, or other modern machine learning framework
  • Solid theoretical understanding of deep neural networks as well as its applications, particularly in computer vision
  • Proven experience architecting, training, testing, and deploying machine learning solutions within an AWS environment
  • Experience using collaborative source code management tools (Git)
  • Strong technical presentation and writing skills

Clearance Required: Top Secret/SCI

Who is Expedition Technology?

Expedition Technology (EXP) designs, develops, and delivers innovative, advanced signal, image, and multi-INT solutions for the defense and intelligence communities. We leverage advanced algorithms, platforms, and technologies to solve our customers' most complex, demanding, and urgent C4ISR challenges. Our culture promotes individual growth and opportunity, prioritizes a collaborative team spirit, and invites the intellectually curious to creatively solve challenging problems. Headquartered in Northern Virginia's high-tech corridor, EXP is a rapidly growing, privately held, employee-owned company that pushes the boundaries of what is possible every day.
Interested in joining our team? Let's explore together.
To learn more about EXP and discover why we are an award-winning workplace, visit our web site and follow us on LinkedIn.

Join Our Team and Enjoy Exceptional Benefits!

Expedition Technology (EXP) offers a flexible, self-directed benefits package that is designed to fit your individual needs. Here's a glimpse of the outstanding benefits you can enjoy when you join our team:
  • Company-paid medical, dental, and vision insurance
  • Generous Time Off: Enjoy 12 paid holidays, up to 33 days of PTO, and generous sick leave
  • Robust 401(k) Plan: Benefit from up to a 12% company contribution, including a 3% safe harbor, 6% match, and up to 3% additional as a form of profit sharing.
  • Student Loan Repayment: Take advantage of our unique option to reallocate a portion of your 401(k) match funds to repay student loans, helping you achieve financial freedom faster.
  • Paid Parental Leave: Six weeks of paid leave for the primary caregiver and 2 weeks of paid leave for the secondary caregiver for you to bond with your new family member.
  • Tuition Reimbursement: Pursue further education with up to $5,250/year available to support your continuous learning and growth.
  • Referral Bonus Program: Earn rewards for bringing talented individuals into our team.
  • Exclusive Entertainment Perks: Enjoy free tickets to sporting events, theater, concerts, and more, adding fun and excitement to your life.
  • Onsite Amenities: Stay fit and healthy with our free, onsite fitness center, active workstations featuring treadmill and bike desks, and enjoy our onsite cafeteria with reduced-cost options.
  • Inspiring Work Culture: Thrive in a collaborative, creative, and supportive culture where you are encouraged to push boundaries, take risks, and enjoy the rewards.

Join us and be part of a team that values your well-being and professional growth. Apply today and take the first step towards a fulfilling career with us!

EXP is proud to be an Equal Opportunity Employer that believes a diverse range of talent creates an environment that fosters creativity and innovation. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, genetic information, or protected veteran status.