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Medical Machine Learning Jobs in Washington (NOW HIRING)

Morse Inc

Machine Learning Engineer

Arlington, VA · On-site

$90K - $210K/yr

We are seeking a Machine Learning Engineer to join our team at MORSE. You will play a pivotal role ... off, medical, dental, vision and life insurance. Employees also receive 10 paid holidays per year.

MORSE Corp

Machine Learning Engineer

Arlington, VA · On-site

$90K - $210K/yr

We are seeking a Machine Learning Engineer to join our team at MORSE. You will play a pivotal role ... off, medical, dental, vision and life insurance. Employees also receive 10 paid holidays per year.

OptiTrack

Machine Learning & Operations Engineer

Arlington, VA · Remote

$80K - $108.10K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... medical for employee. Family coverage also included. * 100% employer paid dental, and vision for ...

OptiTrack

Machine Learning & Operations Engineer

Arlington, VA · Remote

$71.10K - $96.20K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... medical for employee. Family coverage also included. * 100% employer paid dental, and vision for ...

Axon

Senior Machine Learning Engineer

Sterling, VA

$121.30K - $159.90K/yr

Your Impact As a Machine Learning Engineer at Dedrone, you'll play a pivotal role in advancing ... Medical, Dental, Vision plans * Fitness Programs * Emotional & Mental Wellness support * Learning ...

Axon

Senior Machine Learning Engineer

Sterling, VA · On-site

$121.30K - $159.90K/yr

Your Impact As a Machine Learning Engineer at Dedrone, you'll play a pivotal role in advancing ... Medical, Dental, Vision plans * Fitness Programs * Emotional & Mental Wellness support * Learning ...

Axon

Senior Machine Learning Engineer

Sterling, VA · On-site

$121.30K - $159.90K/yr

Your Impact As a Machine Learning Engineer at Dedrone, you'll play a pivotal role in advancing ... Medical, Dental, Vision plans * Fitness Programs * Emotional & Mental Wellness support * Learning ...

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Medical Machine Learning information

See Washington salary details

$41.3K

$186.6K

$381.7K

How much do medical machine learning jobs pay per year?

As of May 28, 2026, the average yearly pay for medical machine learning in Washington is $186,574.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $304,100.00 per year, depending on experience, location, and employer.

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.

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 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.

How much does CVS pay AI engineers?

Salaries for AI engineers at CVS Health typically range from $100,000 to $150,000 annually, depending on experience, location, and skill set. Compensation may also include benefits such as health insurance, bonuses, and stock options, with roles often requiring proficiency in machine learning frameworks and programming languages like Python or TensorFlow.
More about Medical Machine Learning jobs
What are popular job titles related to Medical Machine Learning jobs in Washington? For Medical Machine Learning jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Medical Machine Learning jobs in Washington look for? The top searched job categories for Medical Machine Learning jobs in Washington are:
What cities in Washington are hiring for Medical Machine Learning jobs? Cities in Washington with the most Medical Machine Learning job openings:
Medical Machine Learning jobs near you
Infographic showing various Medical Machine Learning job openings in Washington as of May 2026, with employment types broken down into 2% Internship, 78% Full Time, 16% Part Time, 2% Contract, and 2% Nights. Highlights an 88% Physical, 8% Hybrid, and 4% Remote job distribution, with an average salary of $186,574 per year, or $89.7 per hour.
Machine Learning Engineer

Machine Learning Engineer

Morse Inc

Arlington, VA • On-site

$90K - $210K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

MORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA with a history of fielding cutting-edge technology. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem.
We are seeking a Machine Learning Engineer to join our team at MORSE. You will play a pivotal role in designing, implementing, and managing complex ML algorithms and systems, with a focus on computer vision (CV) and other types of data. You will be responsible for acquiring truth data, integrating algorithms, testing algorithms, combining algorithms, reviewing literature to stay on top of the latest-and-greatest methods, analyzing data from field tests, and developing advanced algorithms. MORSE's AI & ML work crosses modalities, and experience or interest in the fields of Large Language Models (LLM), audio analysis, computer vision, and advanced reasoning is a plus. You will work with MORSE's current team of engineers to transition algorithms to production, which may run on on-prem servers, on the cloud, or on a real-time embedded system. You will be part of our team working to accelerate our US National Security customers abilities to use natural language processing capabilities in mission-critical environments.
Responsibilities:

  • Develop, fine-tune, train, and optimize Computer Vision algorithms processing tasks such as object detection and tracking.
  • Use MLOps tools for efficient experiment tracking, data management, and reproducibility
  • Write robust, efficient, and maintainable code
  • Track the latest advancements with machine learning research to bring new techniques and methodologies to MORSE
  • Conduct experiments and perform rigorous evaluations to assess the effectiveness and efficiency of CV models
Skills and Requirements:
  • US CITIZENSHIP REQUIRED and the ability to obtain a U.S. Security Clearance
  • Masters or Ph.D. in Computer Science, Computer Engineering, Data Science, Aerospace, Mathematics, Physics, or related field
  • Proven experience in applying CV models, techniques, frameworks, and libraries to implement and fine-tune models
  • Proven experience testing and validating the performance of AI technologies in real-world applications
  • Proficiency in Python
  • Experience with cloud platforms (AWS and Azure)
  • Experience with Docker
  • Experience with MLOps tools such as Airflow, MLFlow, AimStack, etc.
  • Exceptional communication skills and the ability to work well with customers
  • Understanding of Department of Defense requirements and standards is a plus

MORSE Corp's salary range for this role carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Therefore, final offer amounts may vary from the amount stated. Depending on role eligibility, total compensation may also include bonus, stock, 401(k) match, paid time off, medical, dental, vision and life insurance.
Employees also receive 10 paid holidays per year. MORSE maintains an "open" leave policy that does not restrict exempt, regular full-time employees to a specific number of paid sick or vacation days. However, this policy is not an "unlimited" paid leave policy.
Compensation
$90,000-$210,000 USD
The team at MORSE takes pride in being the smart team that is easy to work with. We focus on steady, long-term success with an emphasis on exceptionalism and delivering mission-critical impact to our customers. For more information, please visit www.morsecorp.com.

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