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Machine Learning Software Engineer Jobs in Maryland

Machine Learning Engineer

Jessup, MD · On-site

$100K - $137K/yr

Worker Type Regular AV is seeking a Software Engineer 3 with Machine Learning (ML) & Artificial Intelligence (AI) experience, for our PRIME contract. The ideal candidate will be responsible for ...

Senior Machine Learning Engineer

Bowie, MD · On-site

$118K - $155K/yr

The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which ... Minimum 5 years of software development experience with a strong foundation in machine learning ...

Data Science Software Engineer

Laurel, MD · On-site

$114K - $137K/yr

... Machine Learning/AI algorithms. Responsibilities : • The Data Science Software Engineer shall ... develop, enhance, and prototype compliance and business processing analytics and tools. • They ...

... Machine Learning Engineer, AI Engineer, Robotics Software Engineer, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Software Engineering, Information Technology ...

We are looking for a Staff Software Engineer to join our core machine learning and data platform engineering organization. In this role, you will partner closely with the AI leadership team to ...

Description Software engineer to maintain and expand a Java based machine learning model-building system. The ideal candidate would be able to deploy the application in Kubernetes environment and ...

MD · On-site

Description Software engineer to maintain and expand a Java based machine learning model-building system. The ideal candidate would be able to deploy the application in Kubernetes environment and ...

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Showing results 1-20

Machine Learning Software Engineer information

See Maryland salary details

$61.6K

$143.2K

$199.4K

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

As of Jul 9, 2026, the average yearly pay for machine learning software engineer in Maryland is $143,178.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $167,900.00 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 in the Machine Learning Software Engineer position, and why are they important?

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.

What are the day-to-day responsibilities of a Machine Learning Software Engineer?

As a Machine Learning Software Engineer, your daily tasks typically include developing and optimizing machine learning models, collaborating with data scientists and product teams to define requirements, and integrating models into production systems. You’ll work extensively with large datasets to preprocess, analyze, and validate data, as well as monitor model performance and iterate on solutions when needed. It's common to participate in code reviews, contribute to architectural decisions, and maintain documentation for reproducibility and knowledge sharing. This role offers a dynamic and intellectually stimulating environment, making it ideal for those who enjoy solving complex technical problems and working at the intersection of engineering and data science.

What are the most commonly searched types of Machine Learning Software Engineer jobs in Maryland? The most popular types of Machine Learning Software Engineer jobs in Maryland are:
What are popular job titles related to Machine Learning Software Engineer jobs in MD? For Machine Learning Software Engineer jobs in MD, the most frequently searched job titles are:
Machine Learning - Software Engineer - Python, FastAPI, React

Machine Learning - Software Engineer - Python, FastAPI, React

Erias Ventures, LLC

Annapolis Junction, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We value creative problem-solving, open communication, and empowering our employees to make decisions and put forth new ideas.
Our staff includes technical experts working across multiple disciplines, bringing diverse perspectives to every project. We are seeking engineers who wish to grow their careers and want to become part of a technically strong and growth-oriented company focused on bringing innovative solutions to the difficult mission problems facing our customers.
Description
We're seeking a Software Engineer to bridge the critical gap between cutting-edge ML research and production-ready solutions. You'll transform research prototypes into robust, deployable systems that end users can confidently put into production. This role uniquely combines software engineering, DevOps practices, and ML solution delivery.
  • AI Architecture Best Practices: Produce best-practices documentation and reusable implementation packages that establish repeatable patterns for building and deploying AI enabled software.
  • Agentic Coding Harness Testing Framework: Build and maintain the framework that executes repeatable tests against agentic coding harnesses, consuming the datasets and scenarios produced by Fuzzy blocks and running them alongside the Data Scientists' InspectAI benchmarks to measure agent performance and reliability.
  • Cross Environment Application Operations: Support deployment, configuration, and operation of applications across both HS and LS environments. This includes ongoing sustainment of deployed applications, implementing small feature requests and enhancements driven by user feedback and evolving mission needs, and diagnosing and resolving bugs across both environments.
  • Fuzzy blocks: Build and maintain Fuzzy blocks, a workflow driven framework that generates vulnerability discovery datasets and experimental scenarios fed into the testing harness. It provides a structured approach to creating repeatable benchmark datasets and adversarial test scenarios for AI systems and agents, supporting both research and operational security use cases.
Clearance
A current Top-Secret/SCI with polygraph security clearance is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.
Experience
Seven (7) years' experience as a SWE in programs and contracts of similar scope, type, and complexity is required. Bachelor's degree in Computer Science or related discipline from an accredited college or university is required. Four additional (4) years of SWE experience on projects with similar software processes may be substituted for a bachelor's degree.
Required skills:
  • Python
  • FastAPI
  • JavaScript / TypeScript
  • React
  • Docker
  • Kubernetes
  • Git
  • CI/CD tools
  • REST APIs
  • MongoDB
  • Cloud platforms or deployment environments
  • Testing frameworks
  • Collaboration tools like Jira or Confluence
Benefits
Erias Ventures provides a complete package of wealth, health, and happiness benefits. The expected salary range for this position, depending on education and years of experience is $210,000 - $230,000.
Wealth Benefits:
  • Above Market Hourly Pay
  • 11% Roth or Traditional 401k with Immediate Vesting and Deposit
  • Spot Bonuses for Assisting with Business Development and Company Growth
  • Professional Development Bonuses for Certificates and Degrees
Health Benefits:
  • Company subsidized Medical Coverage
  • 100% Company Paid Vision and Dental Coverage
  • 100% Company Paid Long Term Disability, Short Term Disability, and Group Life Insurance
  • Monthly Wellness Reimbursement
Happiness Benefits:
  • Paid Time Off with Flexible Work Schedules and Birthday Off
  • Amazon Prime Membership andMonthly Internet Reimbursement
  • Technology and Productivity Allowance for Equipment and Supplies
  • Morale Building and Company Events to Celebrate our Successes and Build our Community
  • Onboarding and Annual Swag
  • Company Paid Professional Development and Training
At Erias Ventures, we are dedicated to fostering a diverse and inclusive workplace. As an equal opportunity employer, we ensure that all qualified applicants are considered for employment based on merit, without discrimination. We welcome individuals regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Referrals & Inquiries
Do you know a cleared professional seeking to advance their career? Interested in earning some extra cash? If so, refer them to us with their name and contact details, and you could be eligible for a referral bonus of up to $10,000 for each successful hire.
Not seeing the right position right now? Reach out to us, and we'll notify you as new contracts and opportunities become available!
Please send referrals and inquiries to:
jobs@eriasventures.com
To learn more about our company visit our webpage or LinkedIn.