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Machine Learning Software Engineer Jobs in Maryland

Geico

Machine Learning Engineer II

Bethesda, MD · Hybrid

$105K - $215K/yr

Leverage expertise in machine learning, software engineering, and system architecture to independently drive the development of production-ready models. Work closely with cross-functional teams, from ...

GEICO

Machine Learning Engineer II

Bethesda, MD · On-site

$105K - $215K/yr

Leverage expertise in machine learning, software engineering, and system architecture to independently drive the development of production-ready models. Work closely with cross-functional teams, from ...

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Machine Learning Software Engineer information

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$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.

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Machine Learning Software Engineer jobs near you
Machine Learning Software Engineer

Machine Learning Software Engineer

Shield Consulting Solutions, Inc.

Annapolis Junction, MD • On-site

Full-time

Re-posted 6 days ago

Job description

Job Summary:
Shield Consulting Solutions, Inc. is seeking a Machine Learning Software Engineer with a TS/SCI clearance. The role requires extensive experience in software engineering, particularly in AI/ML development, and offers an excellent benefits package.
Responsibilities:
• Active TS/SCI w/Polygraph REQUIRED
• Please do not apply if you do not currently possess this level of clearance.
• 14 years of experience as a software engineer
• AI/ML development or integration experience
• Terraform experience with AWS
• C++, Python and/or Golang
• Experience with writing high-performance / GPU-enabled applications
• Experience with large-scale streaming data analytic systems
Qualifications:
Required:
• Active TS/SCI w/Polygraph REQUIRED
• 14 years of experience as a software engineer
• Bachelor’s degree in a technical discipline
• + 4 additional years of experience as a software engineer may be substituted for a degree
• AI/ML development or integration experience
• Terraform experience with AWS
• C++, Python and/or Golang
• Experience with writing high-performance / GPU-enabled applications
• Experience with large-scale streaming data analytic systems
Company:
Shield Consulting Solutions Incorporated is a veteran-owned small government contractor that was formed in 2002 with the idea that a small company can provide affordable and agile capabilities to our clients. Founded in 2004, the company is headquartered in Columbia, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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