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Junior Machine Learning Engineer Jobs in Baltimore, MD

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Junior Machine Learning Engineer information

See Baltimore, MD salary details

$33.3K

$71.3K

$108.8K

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

As of Jul 17, 2026, the average yearly pay for junior machine learning engineer in Baltimore, MD is $71,340.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,200.00 and $79,500.00 per year, depending on experience, location, and employer.

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

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a Junior Machine Learning Engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a junior machine learning engineer do?

A junior machine learning engineer assists in developing, testing, and deploying machine learning models under supervision. They work with data preprocessing, feature engineering, and use tools like Python and libraries such as TensorFlow or scikit-learn to support AI projects. This role often requires foundational knowledge of algorithms, programming, and data analysis.

How much does a junior machine learning engineer make?

A junior machine learning engineer typically earns between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in deploying large-scale models can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level often requires advanced degrees, specialized certifications, and a strong track record of impactful projects.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. These positions usually involve leadership, strategic planning, and significant experience, and they tend to be found in large tech companies or specialized AI firms.

What Does a Junior Machine Learning Engineer Do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

More about Junior Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Baltimore, MD? The most popular types of Machine Learning Engineer jobs in Baltimore, MD are:
What are popular job titles related to Junior Machine Learning Engineer jobs in Baltimore, MD? For Junior Machine Learning Engineer jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning Engineer jobs in Baltimore, MD look for? The top searched job categories for Junior Machine Learning Engineer jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Junior Machine Learning Engineer jobs? Cities near Baltimore, MD with the most Junior Machine Learning Engineer job openings:
Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Baltimore, MD as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $71,340 per year, or $34.3 per hour.
Machine Learning Engineer/Scientist

Machine Learning Engineer/Scientist

Precise Systems

Edgewood, MD • On-site

Full-time

Medical, Life, Retirement

Posted 24 days ago

Job description


Precise Systems delivers integrated, mission-ready solutions that advance warfighter readiness and strengthen our nation's most critical defense programs. Through the power of our combined capabilities, we provide deep expertise in Advanced Engineering; Digital Transformation; Electromagnetic Warfare; Interactive Training & Simulation; Physical Sciences Research; Platform Lifecycle Support; and Foreign Military Sales. Unified by decades of trusted performance and expanded through strategic growth, our team applies innovative technologies, engineering rigor, and customer-focused execution to solve complex challenges and accelerate mission success. Guided by our commitment to partnership, precision, and performance, we deliver the scalable solutions and technical excellence our customers depend on-today and into the future.
We are seeking a Machine Learning Engineer or Scientist with experience in the physical sciences to support innovative chemical and biological defense projects that integrate automation, and physical science principles. The selected candidate will apply their academic and practical knowledge, experience, and expertise in chemical & biological research and perform data analytics using data science principles. The role involves integrating predictive performance metrics into laboratory processes using pythonic dashboards, adapting metrics and models to project needs, developing pipelines for chemical or biological data, and executing them in laboratory settings to achieve desired outcomes.
This role requires in-person support.
Duties:
  • Under the guidance of senior professionals, the individual will perform tasks encompassing research, development, testing, and evaluation of machine learning models towards chemical and biological datasets. The candidate will contribute to advancing chemical and biological research and development that drives innovation to out-pace emerging threats while simultaneously providing modern solutions
  • Collaborate with interdisciplinary teams to develop machine learning solutions for biological/chemical challenges.
  • Develop and apply state-of-the-art machine learning (ML) tools and algorithms to optimize DoD research efforts.
  • Perform internal verification and validation of models and code to ensure deployments for real laboratory use.
  • Develop and implement dashboards or other graphical user interfaces for automation for laboratory experimentation.
  • Analyze biological or chemical data using languages such as Python and R to derive mathematical insights and improve system performance.
  • Employ DevSecOPs and MLOps to integrate machine learning processes into secure data pipelines.
  • Collaborate with academic and industry partners to test and refine algorithms and biological systems in diverse environments.
  • Perform research to keep models and analysis up to date with the latest advancements.

Required Education:
  • Master's degree in Computer Science, Computer Engineering, Computational Biology, Bioinformatics
  • OR Bachelor's degree in a relevant field with 5 years of experience in a laboratory and/or computational environment.

Preferred Education:
  • Ph.D. in Computational Biology/Chemistry, Machine Learning, Physical Sciences, or a related field with 1 year of experience in a laboratory and/or computational environment.

Required Experience:
  • 3 years of experience in a laboratory and/or computational environment.
  • Hands-on experience applying machine learning algorithms and data science techniques to physical science problems.
  • Proficiency in Python and other programming languages commonly used in machine learning and data analysis.
  • Familiarity with physical science and laboratory experience.
  • Proficiency with software development approaches such as agile, git, DevSecOps, and/or MLOps.
  • Advanced communication skills for interacting with interdisciplinary teams, government representatives, and industry partners.
  • Willingness to learn new technologies and take on new challenges.
  • Strong written and oral communication skills, excellent interpersonal skills, and proficiency in PC software packages for data analysis and visualization.

Preferred Experience:
  • Expertise in advanced machine learning frameworks (e.g., TensorFlow, PyTorch) and their application to biological data.
  • Experience with bioinformatics tools and databases.
  • Experience performing wet laboratory experimentation to validate software and models.
  • Knowledge of automation systems and robotics for laboratory workflows.
  • Collaboration with academic and industry partners on synthetic biology and machine learning projects.

Must be able to obtain and maintain a Secret security clearance. Due to the sensitivity of customer related requirements, U.S. Citizenship is required.
Precise Systems values employee contributions, promotes diverse opportunities for professional growth, and prioritizes overall well-being. Our comprehensive professional services benefits package includes health insurance, life and accidental death and dismemberment coverage, disability insurance, retirement plans, holiday pay, employee-managed leave, and professional growth opportunities.
We recognize exceptional performance and alignment with our core values through our STAR Award recognition program.
Compensation at Precise Systems is determined by various factors, including education, experience, skills, competencies, and contract-specific requirements. The salary range for this position is $76,709.46 - $115,064.18 (annualized USD). This range represents the standard pay for this role and is just one component of Precise Systems' total compensation package.
Precise Systems is committed to fair and equitable pay practices in alignment with applicable pay transparency laws and equal employment opportunity standards.
Precise Systems is dedicated to a shared vision and core values of Integrity, Respect, and Responsibility, which foster innovation and drive our continued success in the global marketplace. Precise Systems and its subsidiaries are Equal Opportunity /Affirmative Action Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, protected veteran status, status as an individual with a disability, or any legally protected status under federal, state, or local law. Visit www.GoPrecise.com for a listing of current openings and our comprehensive, employee friendly benefits summary. Precise Systems participates in E-Verify.

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