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Machine Learning Research Engineer Jobs in Baltimore, MD

Bespoke Labs

Machine Learning Engineer

Baltimore, MD · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

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Machine Learning Research Engineer information

See Baltimore, MD salary details

$36.8K

$105.3K

$141.6K

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

As of Jul 5, 2026, the average yearly pay for machine learning research engineer in Baltimore, MD is $105,338.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,300.00 and $103,300.00 per year, depending on experience, location, and employer.

What does a machine learning research engineer do?

A machine learning research engineer develops and improves algorithms and models that enable computers to learn from data. They often work on creating new techniques, testing prototypes, and publishing findings, using tools like Python, TensorFlow, or PyTorch. Their work supports advancing AI capabilities and typically requires strong programming, statistical, and mathematical skills.

How much do ML research engineers make?

Machine Learning Research Engineers typically earn between $90,000 and $150,000 annually, with salaries increasing based on experience, education, and location. Senior roles or those with specialized skills in deep learning, NLP, or computer vision can earn over $200,000. Compensation often includes benefits such as bonuses, stock options, and professional development opportunities.

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 engineers make $500,000?

Senior machine learning research engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What engineers make $300,000 a year?

Senior machine learning research engineers with extensive experience, advanced skills in deep learning and data science, and often a strong publication record can earn $300,000 or more annually. Compensation varies based on industry, location, company size, and individual expertise, with roles in tech giants and finance firms typically offering higher salaries.
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:
Machine Learning Research Engineer jobs near you
Infographic showing various Machine Learning Research Engineer job openings in Baltimore, MD as of June 2026, with employment types broken down into 74% Full Time, 21% Part Time, and 5% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $105,338 per year, or $50.6 per hour.
Machine Learning Engineer

Machine Learning Engineer

Shield Consulting Solutions

Annapolis Junction, MD

Other

Medical, Retirement, PTO

Posted yesterday

Job description

**Active TS/SCI w/Polygraph REQUIRED** Please do not apply if you do not currently possess this level of clearance. ---------- Telework: None Basic Requirements: Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow

A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university. 5 years' experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required

5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree. Job Description: Select appropriate data sets Perform statistical analysis Run machine learning algorithms Use results to improve models Train and retrain systems when needed Experience in working with various ML libraries and packages Run standard test and evaluation protocols Provide system integration oversight Oversee Test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements Research and implement a broad range of AI and ML algorithms and tools Design or Select appropriate data and knowledge representation methods Recognize software architecture, data modelling, and data structures Transform and convert data science prototypes into scalable solutions Verify data and model output quality Identify differences in data distribution that affect model performance ---------- Excellent benefits package including 25 days PTO, 11 paid holidays, 100% employer-paid healthcare for employees and dependents - available day 1, 8% 401(k) employer match - immediate vesting. Disclaimer: The salary range provided is an estimate based on current market conditions and may be adjusted based on factors such as experience, skills, and qualifications.

The final salary offer will be determined after a thorough review of the candidate's background and alignment with the role. Please note that this range is subject to change and should be considered as a guideline rather than a definitive figure. Shield Consulting Solutions is an equal opportunity/affirmative action employer.

All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. This is a full time position

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