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Scientific Machine Learning Jobs in Baltimore, MD

Metric5

AI Learning Specialist

Baltimore, MD · On-site

$150K - $170K/yr

Bachelor's or Master's degree in machine learning, Artificial Intelligence, Computer Science, or a related field. Salary Range: $150,000 - $170,000 annually Location: Remote within the United States ...

Metric5

AI Learning Specialist

Windsor Mill, MD · Remote

$150K - $170K/yr

Bachelor's or Master's degree in machine learning, Artificial Intelligence, Computer Science, or a related field. Salary Range: $150,000 - $170,000 annually Location: Remote within the United States ...

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All JobsScientific Machine Learning JobsScientific Machine Learning Jobs in Baltimore, MD

Scientific Machine Learning information

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$13

$31

$52

How much do scientific machine learning jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for scientific machine learning in Baltimore, MD is $31.28, according to ZipRecruiter salary data. Most workers in this role earn between $19.09 and $39.90 per hour, depending on experience, location, and employer.

What is scientific machine learning?

Scientific machine learning (SciML) is an interdisciplinary field that combines principles from machine learning and scientific computing to solve complex scientific and engineering problems. It involves developing algorithms and models that can learn from data and physical laws, such as differential equations, to make predictions, optimize systems, or gain insights into phenomena. SciML is widely used in areas like physics, biology, climate science, and engineering, enabling researchers to accelerate simulations and make data-driven discoveries. The field often leverages both traditional numerical methods and modern machine learning techniques, making it a rapidly evolving area of research.

What are some common challenges faced by professionals in Scientific Machine Learning, and how can they be addressed?

Professionals in Scientific Machine Learning often encounter challenges such as integrating domain-specific scientific knowledge with machine learning models, managing large and complex datasets, and ensuring that models are interpretable and physically consistent. Collaboration with domain experts and interdisciplinary teams is essential to bridge knowledge gaps and validate results. To address these challenges, it is helpful to invest time in understanding the underlying scientific principles, keep up-to-date with advancements in both machine learning and scientific fields, and utilize specialized tools and frameworks designed for scientific data.

What are the key skills and qualifications needed to thrive as a Scientific Machine Learning professional, and why are they important?

To thrive as a Scientific Machine Learning professional, you need a strong background in mathematics, statistics, programming (often Python), and domain-specific scientific knowledge, typically with a graduate degree in a STEM field. Proficiency in machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools (like NumPy, SciPy), and experience with high-performance computing are commonly required. Critical thinking, problem-solving, and collaborative communication are vital soft skills for designing experiments and interpreting complex data. These skills ensure robust, reproducible results and the ability to bridge scientific inquiry with advanced computational methods.

What is the difference between Scientific Machine Learning vs Data Scientist?

AspectScientific Machine LearningData Scientist
Required credentialsAdvanced degrees in CS, ML, or related fields; knowledge of scientific computingDegree in CS, statistics, or related fields; strong analytical skills
Work environmentResearch labs, academia, industry R&D teamsBusiness analytics, tech companies, consulting firms
Industry usageResearch, scientific computing, engineering simulationsBusiness insights, predictive modeling, data analysis

Scientific Machine Learning focuses on integrating scientific knowledge with machine learning techniques for research and engineering applications. Data Scientists analyze data to extract insights and build predictive models for business or operational purposes. While both roles require strong technical skills, Scientific Machine Learning emphasizes scientific computing and domain-specific modeling, whereas Data Scientists focus on data analysis and visualization.

What are popular job titles related to Scientific Machine Learning jobs in Baltimore, MD? For Scientific Machine Learning jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Scientific Machine Learning jobs in Baltimore, MD look for? The top searched job categories for Scientific Machine Learning jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Scientific Machine Learning jobs? Cities near Baltimore, MD with the most Scientific Machine Learning job openings:
Scientific Machine Learning jobs near you

Data Scientist - AI/Machine Learning

Markon

Annapolis Junction, MD

$150K - $210K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

PLEX Solutions, A Part of Markon, is looking for a Software Developer who will use AI and machine learning tools in support of a cutting-edge program in the Annapolis Junction, MD area.


  • Perform/utilize statistics, machine learning and analytic approaches to answer key intelligence questions, producing results and re-usable products that provide real value to Analysts.
  • Apply machine learning techniques to identify and transform data features, find hidden patterns and trends, build and optimize classifiers, create automated anomaly detection systems, and automate steps of a process.
  • Evaluate statistical models to determine the validity of analyses, implement evaluated models into production by collaborating with software developers, periodically re-evaluate and refine machine learning models being used in production.
  • Curate and collect the data from a variety of traditional and non-traditional sources: extract data from sources, transform and integrate data in line with existing data, and load data into data stores for access by others.
  • Collaborate with Data Scientists to develop processes and tools to monitor and analyze model performance and data accuracy.
  • Work with analysts to interpret analytic results and refine analysis as needed.
  • Effectively communicate results and ideas to key decision makers, analysts and other stakeholders and shall provide information as appropriate.
  • Perform documentation of all processes, models and activities by developing, documents, and implement a configuration management plan for data sets.
  • Research latest data science tradecraft and technology

  • Active TS/SCI W/ Polygraph 

  • Bachelor's degree in relevant field and 8 years of experience; an advanced degree will be considered in lieu of years of experience.

  • 3+ years of Defensive Cyber Operations experience.

  • 3+ years of Machine Learning techniques and statistical model evaluation.

Preferred Qualifications:

  • Master's degree in relevant field and 4 years of experience.
  • Demonstrated proficiency with R or Python, and SQL to manipulate data and draw insights from large and small data sets
  • Exposure to AWS (Amazon Web Services), Cisco (CCNA), and/or STIGs/IAVA, Big Data Platform (BDP)
  • Strong background and skills in Linux (Ubuntu, CentOS, RHEL)/Windows/Virtual environments
  • A problem solver who can get in, be given a project, and use engineering skills to determine a solution
  • Python, Jupyter Notebooks, Network Analysis Tools

USD $150,000.00 - USD $210,000.00 /Yr.
The Markon pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Eager to join a team where your skills are valued, your growth is nurtured, and your impact is profound? Look no further than Markon, a premier consulting firm deeply dedicated to advancing our nation's most critical missions.

At Markon, we don't just offer jobs – we offer opportunities for personal and professional transformation. Empowering our employees to lead, innovate, and excel, we foster an environment where new ideas are not just welcomed but celebrated. As a perennial Washington Post Top Workplace, we prioritize the well-being and success of our team members, ensuring they can bring their best selves to work.

Headquartered in Falls Church, Virginia, Markon has garnered national recognition for our unwavering dedication to excellence in serving the intelligence community, as well as federal civilian and defense agencies. Our growing reach extends across 17 states, 116 countries, and 5 continents, where our team of dynamic professionals collaborates to deliver unparalleled program and project management services.

Markon values people and the tremendous impact each individual can make – which is why we’re consistently recognized as one of the best places to work in federal government consulting. Here, you can help solve the nation’s most important challenges, surrounded by colleagues who help you grow, advance, and succeed. We are deeply dedicated to what matters – bringing out the best in each other to advance our clients’ missions.
Join us and make a meaningful impact.

Markon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, national origin, age, protected veteran status, or disability status. This job posting will remain open until the position is filled.

Benefits Offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Training and Tuition Assistance, Paid Time Off, and Holidays.

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