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Medical Machine Learning Jobs in Virginia (NOW HIRING)

AI/ML Machine Learning Engineer Herndon, VA Top Secret/SCI Polygraph Unspecified Career Level not ... Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term ...

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Quantum SME

Springfield, VA · On-site

$86K - $114K/yr

Apply principles, methods, and knowledge of functional areas (quantum machine learning and related ... Benefits include personal time off, medical insurance and 401k plan. INCA Engineering is an equal ...

Apply principles, methods, and knowledge of functional areas (quantum machine learning and related ... Benefits include personal time off, medical Insurance and 401k plan. INCA Engineering is an equal ...

Apply principles, methods, and knowledge of functional areas (quantum machine learning and related ... Benefits include personal time off, medical Insurance and 401k plan. INCA Engineering is an equal ...

You will leverage your expertise in statistics, machine learning, and data analysis to extract ... related medical conditions, age, protected veteran status, or disability status. We oppose ...

You will leverage your expertise in statistics, machine learning, and data analysis to extract ... related medical conditions, age, protected veteran status, or disability status. We oppose ...

You will leverage your expertise in statistics, machine learning, and data analysis to extract ... related medical conditions, age, protected veteran status, or disability status. We oppose ...

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Medical Machine Learning information

See Virginia salary details

$36.2K

$163.3K

$334.1K

How much do medical machine learning jobs pay per year?

As of Jun 20, 2026, the average yearly pay for medical machine learning in Virginia is $163,318.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $266,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Medical Machine Learning position, and why are they important?

To thrive in Medical Machine Learning, you need a strong background in computer science, statistics, and biomedical sciences, often supported by an advanced degree in a related field. Familiarity with programming languages (such as Python or R), machine learning frameworks (like TensorFlow or PyTorch), and healthcare data management systems is crucial. Strong problem-solving abilities, collaboration skills, and the ability to communicate complex technical concepts to a diverse audience make a candidate stand out. These skills are critical for developing robust, effective machine learning solutions that can impact patient care and integrate seamlessly into clinical workflows.

What is a Medical Machine Learning job?

A Medical Machine Learning job involves developing and applying AI algorithms to analyze medical data, such as imaging, electronic health records, and genomics, to improve diagnosis, treatment, and patient outcomes. Professionals in this field work with clinicians, data scientists, and engineers to create predictive models, automate medical workflows, and ensure compliance with healthcare regulations. Strong knowledge of machine learning, data processing, and healthcare-specific challenges is essential.

Is ML a high paying job?

Medical machine learning professionals typically earn higher salaries compared to many other healthcare roles due to specialized skills in data analysis, programming, and understanding medical data. Salaries vary based on experience, education, and location, but advanced roles in this field often offer competitive compensation, especially for those with expertise in deep learning and relevant tools like Python and TensorFlow.

Which 3 jobs will survive AI?

In the field of medical machine learning, roles such as data scientists, clinical informaticists, and AI specialists are likely to persist as they require complex problem-solving, domain expertise, and oversight of AI systems. These jobs involve interpreting data, ensuring ethical use, and integrating AI tools into healthcare, which are less susceptible to automation. Continuous learning and certification in AI and healthcare regulations enhance job security in this area.

What does machine learning do in healthcare?

In healthcare, machine learning is used by professionals to analyze large datasets, improve diagnostic accuracy, and develop predictive models for patient outcomes. Medical machine learning specialists often work with algorithms, programming languages like Python, and medical data to enhance treatment plans and operational efficiency.

What is a $900,000 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 in the tech or healthcare sectors. These positions usually require advanced skills in programming, data analysis, and experience with AI frameworks, and may include bonuses or stock options that contribute to total compensation.

What types of teams do Medical Machine Learning professionals typically collaborate with in a healthcare setting?

Medical Machine Learning professionals often work in multidisciplinary teams that include data scientists, clinicians, software engineers, and regulatory experts. Collaboration with healthcare providers is common to ensure models address real clinical needs and comply with healthcare standards. You'll typically interact closely with IT departments for data access and security, as well as with research teams and sometimes external partners. Working in such dynamic teams allows you to contribute technical expertise while gaining insights from domain experts, leading to more successful and impactful machine learning projects.

Infographic showing various Medical Machine Learning job openings in Virginia as of June 2026, with employment types broken down into 80% Full Time, 17% Part Time, and 3% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $163,318 per year, or $78.5 per hour.
Staff AI/ML Machine Learning Engineer

Staff AI/ML Machine Learning Engineer

Navstar

Herndon, VA • On-site, Remote

$132K - $234K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

AI/ML Machine Learning Engineer

Herndon, VA Top Secret/SCI Polygraph Unspecified Career Level not specified $132,900 - $234,370

Job Description

By bringing together people that use their passion for purposeful innovation, at Lockheed Martin we keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel development and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. At Lockheed Martin, we place an emphasis on empowering our employees by fostering innovation, integrity, and exemplifying the epitome of corporate responsibility. Your Mission is Ours.

The Space AI Talent Center is seeking a highly skilled AI/ML Machine Learning Engineer to join a cross-functional team of experts in research, data science, software development, physics, and mathematics. As a key member of this team, you will leverage cutting-edge AI/ML tools and techniques to tackle the most complex challenges in Space - all in support of our national security.

This role offers a unique opportunity to collaborate with a diverse group of professionals, drive innovation, and contribute to the development of solutions that address critical problems in the Space domain.

The successful candidate will have advanced experience with and/or knowledge of: AI/ML, Deep Learning, or Computer Vision, modern software development practices/languages, and a passion for math and science.

Basic Qualifications:

  • Bachelor's degree in a STEM discipline (e.g. Electrical Engineering, Computer Science, Computer Engineering, Mathematics, Physics) or equivalent combination of education, training, and experience in a related technical field.
  • Advanced experience in Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, or Image Processing
  • Experience with modern software development tools and practices
  • TS/SCI clearance required to start

Desired Skills:

  • Advanced degree in a STEM discipline
  • Proficiency in one or more of the following programming languages: Python, Java, C++, C#, or MATLAB
  • Experience with TensorFlow, PyTorch, Keras, or Scikit-learn
  • Experience with RF, SAR or EO image processing algorithms/techniques
  • Experience with AWS or another cloud computing platform
  • Excellent written and verbal communication skills
  • Ability to work in a collaborative and team-based environment

Other Important Information You Should Know:

Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.

Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.

Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.

Schedule for this Position: 9x80 every other Friday off

Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $132,900 - $234,370. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.

Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.

This position is incentive plan eligible.

Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.

The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.

Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They're dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about.

As a leading technology innovation company, Lockheed Martin's vast team works with partners around the world to bring proven performance to our customers' toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories.