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Machine Learning Research Jobs in Maryland (NOW HIRING)

Quid, Inc.

Staff Deep Learning Engineer

Columbia, MD · On-site

$200 - $250/hr

... Machine Learning, or a related field. A graduate‑level foundation in deep learning theory is required, not just applied experience. * 6+ years of experience in deep learning research and ...

Quidient

Staff Deep Learning Engineer

Columbia, MD · On-site

$185K - $235K/yr

... Machine Learning, or a related field. A graduate-level foundation in deep learning theory is required, not just applied experience. * 6+ years of experience in deep learning research and engineering ...

Quidient

Staff Deep Learning Engineer

Columbia, MD · On-site

$185K - $235K/yr

... Machine Learning, or a related field. A graduate-level foundation in deep learning theory is required, not just applied experience. * 6+ years of experience in deep learning research and engineering ...

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How much do machine learning research jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for machine learning research in Maryland is $21.57, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $23.08 per hour, depending on experience, location, and employer.

What is machine learning research?

Machine learning research is the scientific study and development of algorithms and statistical models that enable computers to perform tasks without explicit instructions, instead relying on patterns and inference. Researchers in this field work on advancing the theory, design, and application of machine learning systems, exploring areas such as deep learning, reinforcement learning, and unsupervised learning. They often publish their findings, develop new techniques, and collaborate with industry to solve real-world problems. This work is foundational to progress in artificial intelligence and has wide-ranging impacts across technology, healthcare, finance, and more.

What are the key skills and qualifications needed to thrive as a machine learning researcher?

To thrive as a Machine Learning Researcher, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree (Master's or PhD) in a related field. Proficiency in programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or PyTorch), and familiarity with cloud computing platforms are typically required. Strong analytical thinking, creativity, and effective communication skills help researchers devise novel solutions and collaborate within multidisciplinary teams. These skills are essential for driving innovation, solving complex problems, and advancing the field of machine learning.

What are some common challenges faced by professionals in machine learning research and how can they be overcome?

One of the main challenges in Machine Learning Research is dealing with insufficient or poor-quality data, which can hinder model performance and generalizability. Additionally, keeping up with the rapid pace of advancements in the field requires continuous learning and adaptation. Collaborating effectively with multidisciplinary teams, such as data engineers and domain experts, is also crucial but can present communication challenges. Overcoming these obstacles typically involves building strong data pipelines, dedicating time for ongoing education, and honing collaboration and communication skills to bridge gaps between technical and non-technical stakeholders.

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

AspectMachine Learning ResearchData Scientist
Required CredentialsAdvanced degrees (Master's/PhD) in CS, ML, or related fieldsBachelor's or Master's in CS, Statistics, or related fields
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, analytics teams, product development
Employer & Industry UsageTech companies, research institutions, universitiesTech, finance, healthcare, e-commerce, and more
Common Search & ComparisonYesYes

Machine Learning Research focuses on developing new algorithms and advancing theoretical understanding, often in academic or R&D settings. Data Scientists apply existing ML techniques to analyze data, build models, and generate insights for business decisions. While both roles require strong technical skills, Machine Learning Research emphasizes innovation and theory, whereas Data Scientists focus on practical application and data analysis.

How to become a machine learning researcher?

To become a machine learning researcher, typically a strong foundation in mathematics, statistics, and programming is required, along with advanced degrees such as a master's or Ph.D. in computer science, data science, or related fields. Gaining experience with machine learning frameworks like TensorFlow or PyTorch, publishing research, and staying current with academic literature are also important steps.

Is machine learning research a high paying job?

Machine learning research positions are generally well-paid due to the high demand for specialized skills in algorithms, data analysis, and programming languages like Python and TensorFlow. Salaries vary based on experience, education, and location, but they tend to be higher than average for many tech roles, especially in industry or academia with strong research funding.

What does a machine learning researcher do?

A machine learning researcher develops algorithms and models that enable computers to learn from data and improve their performance over time. They analyze large datasets, experiment with different techniques, and publish findings to advance the field, often using tools like Python, TensorFlow, or PyTorch. Their work typically involves both theoretical understanding and practical implementation to solve complex problems across various industries.

What are the most commonly searched types of Machine Learning Research jobs in Maryland?

The most popular types of Machine Learning Research jobs in Maryland are:

Machine Learning Research jobs near you
Infographic showing various Machine Learning Research job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $44,860 per year, or $21.6 per hour.

Machine Learning Engineer/Scientist

Edgewood, MD

Precise Systems
Guided Missile and Space Vehicle Manufacturing • 501 - 1,000 employees
Learn more about Precise Systemsexternal

Full-time

Medical, Life, Retirement

Re-posted 19 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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