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Machine Learning Software Engineer Jobs in Washington, DC

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Machine Learning Software Engineer information

See Washington, DC salary details

$71.9K

$167.1K

$232.7K

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

As of Aug 18, 2026, the average yearly pay for machine learning software engineer in Washington, DC is $167,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,900.00 and $195,900.00 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.
Infographic showing various Machine Learning Software Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $167,085 per year, or $80.3 per hour.

Cleared Machine Learning Software Engineer

Bestgate Engineering

Laurel, MD โ€ข On-site

Full-time

Medical, Life, Retirement, PTO

Posted 14 days ago


Job description

Cleared Machine Learning Software Engineer

Join a team developing next-generation compliance automation and business processing analytics solutions supporting mission-critical government operations. In this role, you will design, develop, enhance, and prototype advanced analytics tools while leveraging Machine Learning and AI to modernize compliance functions. You will research, integrate, test, and deploy proof-of-concept solutions, develop machine learning models, automate data processing workflows, and implement metrics and monitoring to ensure reliable performance across applications and data flows.

Required: 

  • 14+ years of software engineering experience supporting programs of similar scope, type, and complexity
  • Experience developing applications with Python, Java, and Scala in Linux environments.
  • Experience with machine learning model development, monitoring, Random Forest, feature engineering, and Scikit-learn.
  • Experience with exploratory data analysis (EDA), SQL, JSON, Lucene, JEXL, Ghostmachine (Map/Reduce), and Jupyter Notebooks.
  • Experience using Git/GitLab or Bitbucket/Stash, IntelliJ or Eclipse, Jira, Confluence, and GM Learn.
  • Familiarity with Agency compliance standards, corporate systems, and producing technical documentation.
  • Bachelor's degree in Computer Science, Information Technology, or a closely related field is preferred. In lieu of a degree, a minimum of 4 years of relevant work experience in engineering will be considered.
  • Required Security Clearance: TS/SCI w/Poly
Desired:
  • Experience with AWS, Apache Spark, and production machine learning implementations.
  • Background in Data Science, Agentic AI, Large Language Models (LLMs), or advanced machine learning techniques.

Bestgate Engineering is a leading software and systems engineering firm supporting military and government customers.
We are currently hiring Cleared Software Developers, CNO Engineers, Systems Engineers, DevOps Engineers, and Security Engineers.
At Bestgate, you'll work alongside some of the industry's most experienced software and systems engineers, tackling mission-critical challenges across cloud-native technologies, software modernization, embedded systems, data science, DevSecOps, and more. We believe exceptional people deserve exceptional support, which is why we offer a competitive benefits package focused on your well-being, career development, and work-life balance, including:

  • Competitive Pay – Less frill for more in your base pay.
  • Flexible PTO to fit your work/life needs + 11 holidays.
  • 7% 401k Employer Gift – Vested immediately.
  • 100% Paid Carefirst medical premiums for both individuals and families.
  • Training/Career Pathing – Annual budget for training, mentoring, and an Internal Mobility Program.
  • Morale Building Events – Time given to enjoy connecting with other Bestgate Employees.

Apply to learn more about us, and the work we have available!
External Referral Program - If now's not the right time, but you know someone that is looking for a change, we offer competitive external referral bonuses for every hire!
Equal Employment Opportunity: Bestgate Engineering is an Equal Opportunity Employer and federal contractor. We recruit, hire, train, compensate, and promote qualified individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other status protected by applicable federal, state, or local law.

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