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Machine Learning Research Engineer Jobs in Baltimore, MD

Machine Learning Engineer Our clients, a rapidly growing AI-focused software development company supporting federal agencies, is seeking a Machine Learning Engineer. Delivers mission-critical ...

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain ... You will learn and apply new techniques from open source packages and research publications, and ...

Senior Machine Learning Engineer

Silver Spring, MD ยท Hybrid

$108K - $148K/yr

... researching and performing proof of concepts, and bringing new machine learning and AI solutions ... An engineer with a self-driven attitude who can own problems and deliver solutions * Strong ...

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Machine Learning Research Engineer information

See Baltimore, MD salary details

$35.1K

$100.6K

$135.3K

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

As of Jun 14, 2026, the average yearly pay for machine learning research engineer in Baltimore, MD is $100,633.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $98,700.00 per year, depending on experience, location, and employer.

What does a Machine Learning Research Engineer do?

A Machine Learning Research Engineer develops and improves machine learning models, conducts research to advance AI techniques, and implements scalable algorithms. They work at the intersection of applied research and engineering, leveraging mathematical and statistical methods to optimize performance. Their role involves experimenting with new architectures, analyzing large datasets, and collaborating with data scientists and software engineers to deploy models into production.

What are some common challenges faced by Machine Learning Research Engineers in their daily work?

Machine Learning Research Engineers often encounter challenges such as sourcing and preparing large, high-quality datasets, tuning complex model architectures, and ensuring reproducibility of experimental results. They work closely with cross-functional teams, including data scientists and software engineers, to deploy models in production environments and must frequently adapt to rapidly evolving research. Keeping up with the latest scientific literature and integrating new algorithms into ongoing projects can be demanding but is also rewarding. This collaborative, fast-paced environment provides constant opportunities for learning and professional development.

What are the key skills and qualifications needed to thrive in the Machine Learning Research Engineer position, and why are they important?

A Machine Learning Research Engineer typically needs a strong background in computer science, mathematics, and statistics, often with a graduate degree in a related field. Proficiency in programming languages such as Python or C++, experience with machine learning frameworks like TensorFlow or PyTorch, and familiarity with tools for data analysis are crucial, along with relevant certifications being a plus. Strong problem-solving skills, collaboration, and effective communication help drive innovative research and facilitate teamwork. These competencies are essential for developing advanced machine learning models, staying current with evolving technologies, and effectively translating research into real-world applications.

What are popular job titles related to Machine Learning Research Engineer jobs in Baltimore, MD? For Machine Learning Research Engineer jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Machine Learning Research Engineer jobs in Baltimore, MD look for? The top searched job categories for Machine Learning Research Engineer jobs in Baltimore, MD are:
Infographic showing various Machine Learning Research Engineer job openings in Baltimore, MD as of June 2026, with employment types broken down into 7% Internship, and 93% Full Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $100,633 per year, or $48.4 per hour.
Machine Learning Engineer

Machine Learning Engineer

Shield Consulting Solutions, Inc.

Laurel, MD โ€ข On-site

Full-time

Posted 8 days ago


Job description

Job Summary:
Shield Consulting Solutions, Inc. is seeking a Machine Learning Engineer to implement and enhance data pipelines and machine learning analytics. The role involves monitoring existing data science tools, integrating GitOps for model deployment, and documenting all processes and code.
Responsibilities:
โ€ข Implement data pipelines at scale, including both the synthesizing of new pipelines and the refactoring of existing pipelines to improve efficiency and code correctness.
โ€ข Monitor and improve existing data science tools in support of transition from development to production systems.
โ€ข Design, implement, and enhance ML analytics using a wide variety of Python libraries including, but limited to, PyTorch, NumPy, Pandas, and Scikit-learn.
โ€ข Train, test, track and curate models using standard tools and practices.
โ€ข Integrate GitOps for continuous integration and deployment of models using Docker scaling.
โ€ข Use AWS services such as EC2, S3, and RDS for building and deploying applications.
โ€ข Integrate model and tool outputs within Computer Network Defense (CND) systems and/or software tools to enhance, implement, and maintain the Security Management/Monitoring services and capabilities within the Agency IT Enterprise.
โ€ข Document all processes and code; provide comprehensive reports on the completed tasks.
Qualifications:
Required:
โ€ข Active TS/SCI w/Polygraph REQUIRED
โ€ข 14 years of experience as a software engineer
โ€ข Bachelorโ€™s degree in a technical discipline
โ€ข 4 additional years of experience as a software engineer may be substituted for a degree
โ€ข Python
โ€ข Docker
โ€ข Kubernetes
Preferred:
โ€ข AWS
โ€ข Machine Learning
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.