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Machine Learning Biomedical Engineer Jobs in Frederick, MD

With experts in biomedical science, software engineering, and program management, we focus on ... or machine learning applications * Implement best practices for workflow versioning ...

Lead AI Engineer

Rockville, MD · On-site

$104K - $137K/yr

Required Qualifications • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. • 8+ years of experience in software engineering or ...

With experts in biomedical science, software engineering, and program management, we focus on ... Statistical Modeling and Machine Learning: Apply statistical and ML methods -- including hypothesis ...

With experts in biomedical science, software engineering, and program management, we focus on ... Provide examples of basic machine learning/AI concepts and/or how you've applied them in ...

With experts in biomedical science, software engineering, and program management, we focus on ... Provide examples of basic machine learning/AI concepts and/or how you've applied them in ...

With experts in biomedical science, software engineering, and program management, we focus on ... Provide examples of basic machine learning/AI concepts and/or how you've applied them in ...

Sr AI/ML Engineer

Hagerstown, MD

$103K - $142K/yr

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... Advanced skills in machine learning frameworks (TensorFlow, PyTorch) and modern AI/ML techniques ...

AI Engineer

Rockville, MD · Remote

$140K/yr

AI Engineer Location: Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible ... Strong experience with Python, SQL, Machine Learning, NLP, and Generative AI technologies

AI Engineer Location: Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible ... Strong experience with Python, SQL, Machine Learning, NLP, and Generative AI technologies

AI Engineer

Rockville, MD · On-site

$140K/yr

AI Engineer Location: Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible ... Strong experience with Python, SQL, Machine Learning, NLP, and Generative AI technologies

With experts in biomedical science, software engineering, and program management, we focus on ... You will galvanize interdisciplinary teams of PhD scientists, machine learning engineers, and ...

Lead AI Engineer

Rockville, MD · On-site

$104K - $137K/yr

Experience Requirements: * 8+ years in software engineering or machine learning with production AI/ML delivery. * Experience in regulated industries such as finance, legal, or healthcare. * Strong ...

With experts in biomedical science, software engineering, and program management, we focus on ... You will galvanize interdisciplinary teams of PhD scientists, machine learning engineers, and ...

Showing results 21-40

Machine Learning Biomedical Engineer information

See Frederick, MD salary details

$31.3K

$128K

$192.4K

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

As of Aug 18, 2026, the average yearly pay for machine learning biomedical engineer in Frederick, MD is $128,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,900.00 and $154,100.00 per year, depending on experience, location, and employer.

What does a machine learning biomedical engineer do?

A Machine Learning Biomedical Engineer applies machine learning techniques to solve problems in biology and medicine. They develop algorithms and models to analyze complex biomedical data, such as medical images, genetic information, or sensor readings. Their work supports advancements in diagnostics, treatment planning, and personalized medicine. Typically, they collaborate with clinicians, researchers, and other engineers to design systems that improve healthcare outcomes.

How does a machine learning biomedical engineer typically collaborate with clinicians and researchers in a healthcare setting?

Machine Learning Biomedical Engineers often work closely with clinicians and researchers to develop algorithms that solve real-world medical challenges. Collaboration usually involves understanding clinical needs, translating them into technical requirements, and iteratively refining models based on feedback from medical experts. Regular meetings, interdisciplinary project teams, and direct participation in data collection or validation studies are common. This collaborative environment ensures that technical solutions are both innovative and clinically relevant, making communication and adaptability essential skills.

What are the key skills and qualifications needed to thrive as a machine learning biomedical engineer, and why are they important?

To thrive as a Machine Learning Biomedical Engineer, you need a strong background in biomedical engineering, data analysis, and machine learning, typically supported by a degree in biomedical engineering, computer science, or a related field. Familiarity with programming languages like Python or R, machine learning frameworks (e.g., TensorFlow, PyTorch), and experience with medical imaging or signal processing tools are commonly required. Critical thinking, problem-solving, and the ability to communicate complex technical concepts to interdisciplinary teams are vital soft skills. These abilities are crucial for developing innovative healthcare solutions, ensuring regulatory compliance, and bridging the gap between technology and medicine.

What is the difference between Machine Learning Biomedical Engineer vs Data Scientist in Biomedical Industry?

AspectMachine Learning Biomedical EngineerData Scientist in Biomedical Industry
Required CredentialsDegree in Biomedical Engineering, Computer Science, or related fields; knowledge of machine learning and biomedical dataDegree in Data Science, Statistics, or related fields; proficiency in data analysis and machine learning
Work EnvironmentResearch labs, healthcare institutions, biotech companiesHealthcare analytics firms, research institutions, biotech companies
Employer & Industry UsageDevelops algorithms for medical devices, diagnostics, and treatment planningAnalyzes biomedical data to inform clinical decisions, research, and product development

Both roles require expertise in machine learning and biomedical data, but Machine Learning Biomedical Engineers focus on developing algorithms for medical applications, while Data Scientists analyze biomedical data to support research and clinical decisions.

What are popular job titles related to Machine Learning Biomedical Engineer jobs in Frederick, MD?

For Machine Learning Biomedical Engineer jobs in Frederick, MD, the most frequently searched job titles are:

What job categories do people searching Machine Learning Biomedical Engineer jobs in Frederick, MD look for?

The top searched job categories for Machine Learning Biomedical Engineer jobs in Frederick, MD are:

What cities near Frederick, MD are hiring for Machine Learning Biomedical Engineer jobs?

Cities near Frederick, MD with the most Machine Learning Biomedical Engineer job openings:

Machine Perception (MP) Engineer - Level 3 or 4

Northrop Grumman Corporation

Dulles, VA

Full-time

Medical, Life, PTO

Re-posted 20 days ago


Northrop Grumman rating

8.2

Company rating: 8.2 out of 10

Based on 363 frontline employees who took The Breakroom Quiz

89th of 540 rated manufacturers


Job description

RELOCATION ASSISTANCE: Relocation assistance may be availableCLEARANCE REQUIRED FOR START: NoCLEARANCE TYPE: NoneTRAVEL: Yes, 10% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

Expand your horizons, advance your career, and contribute to a secure future for generations. Northrop Grumman's Space Sector invites you to bring your pioneering spirit to our collaborative teams. As a Machine Perception (MP) Engineer - Level 3 or 4 located in Dulles, VA, you'll be a linchpin in missions of paramount importance, defining the art of the possible from day one. This position is 100% onsite and cannot accommodate telecommute work.

This role will support our Spacecraft Guidance, Navigation, and Control (GNC) department, located in Dulles, Virginia.


Space Systems is designing, building, and testing spacecraft for DoD, NASA, and commercial customers. We are leaders in innovative solutions to the evolving fields of space based autonomous rendezvous and docking and rapid design/production of small satellites. We are seeking highly talented and ambitious engineers with backgrounds in Machine Perception including Computer Vision (CV), Artificial Intelligence (AI), and Machine Learning (ML). Experience and/or education in spacecraft navigation, robotics, and/or embedded processing is preferred.

This position will work a 9/80 schedule, with every other Friday off.

Job responsibilities include, but are not limited to, the following:

The MP engineer will work within the GNC subsystem team and is expected to:

  • Design, develop, integrate, and test machine perception algorithms for real-time on-board processing on space vehicles and near-real-time processing within ground systems

  • Conduct rigorous testing, validation, and tuning of machine perception algorithms in simulated and laboratory environments

  • Collaborate with other engineering teams to ensure seamless integration of machine perception systems with the overall space system

  • Analyze data from heritage space missions to refine and optimize machine perception algorithms

  • Stay current with advancements in machine perception technologies and techniques to continuously improve system performance

  • Prepare technical documentation and reports detailing design processes, testing outcomes, and performance evaluations

  • Design, develop, test, and verify flight algorithms for the MP subsystem and support flight software qualification testing

  • Perform analysis to support early design phase concept development including sensor selection and placement and predicted performance assessments

  • Develop and maintain simulation models

Communication is a key element of your role and all engineers are expected to:

  • Apply engineering principles, industry standards, company process, and knowledge of machine perception, vehicle dynamics, propulsion, classical/modern control, and estimation theory to perform tasks to advance program/project goals

  • Document designs, analysis, and test results, and generate presentation material

  • Participate in peer reviews with internal and external customers

  • Work well within small- to medium-sized groups

  • Other duties as assigned

If this job description reads like it was written specifically for you, consider joining our team!

This position is contingent upon the candidate obtaining final clearances and program access(es) within a reasonable period of time as determined by the company.

Basic Qualifications for Level 3:

  • Bachelor's degree with 5 years of professional experience - OR - Master's degree with 3 years of professional experience - OR - PhD with 1 year of professional experience. Will consider an additional 4+ years of experience in lieu of degree.

  • Must have the ability to obtain and maintain a U.S. Government Top-Secret security clearance

  • Strongproficiencyin MATLAB/Simulink, C/C++, and Python

  • Experience with Computer Vision, Artificial Intelligence, and/or Machine Learning algorithms to support space vehicle navigation or robotics

  • Practical experience with imaging sensors (Visible, LWIR, MWIR)

Basic Qualifications for Level 4:

  • Bachelor's degree with 8 years of professional experience - OR - Master's degree with 6 years of professional experience - OR - PhD with 4 years of professional experience. Will consider an additional 4+ years of experience in lieu of degree.

  • Must have the ability to obtain and maintain a U.S. Government Top-Secret security clearance and Sensitive Compartmented Information (SCI) access within a reasonable period of time

  • Strongproficiencyin MATLAB/Simulink, C/C++, and Python

  • Experience with Computer Vision, Artificial Intelligence, and/or Machine Learning algorithms to support space vehicle navigation or robotics

  • Practical experience with imaging sensors (Visible, LWIR, MWIR)

Preferred Qualifications:

  • Active/Current Top Secret/SCI Clearance

  • MS or PhD degree in engineering, physics, or math

  • Familiarity with scene rendering

  • Experience in attitude estimation techniques

  • Experience in spacecraft MP subsystem design, analysis, and testing

  • Experience implementing MP algorithms on embedded systems

  • Prior work experience in a related field

  • Proficiencywith version control systems such as Git and SVN

  • Proficiencyin Microsoft Office suite

  • Experience with Model-Based Systems Engineering (MBSE) and digital transformation tools (such as the Atlassian suite)

  • Excellent analytical and problem-solving abilities

Curious about all the exciting developments with the Northrop Grumman Space Sector? Click the link below:

https://www.northropgrumman.com/space

Working at Northrop Grumman is more than just a paycheck. We offer a comprehensive Total Rewards and benefits package designed to help you thrive at work and in life. For more information on our Total Rewards package, please visit our Total Rewards site.

Northrop Grumman Total Rewards

#LI-VP1

Primary Level Salary Range: $114,000.00 - $171,000.00Secondary Level Salary Range: $142,200.00 - $213,400.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

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About Northrop Grumman

Sourced by ZipRecruiter

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible.

Industry

Space research administration

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

Year founded

1939