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Permanent Healthcare Machine Learning Jobs (NOW HIRING)

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... Our work is improving healthcare outcomes, increasing national security, and advancing our national ...

Spotify

Machine Learning Engineer

They are seeking a Machine Learning Engineer to join their Personalization team, focusing on ... care about agile software processes, data-driven development, reliability, and disciplined ...

Kitware

Machine Learning Engineer

Clifton Park, NY · On-site

Machine learning experience using visual data * Understanding of a variety of machine learning ... Our work is improving healthcare outcomes, increasing national security, and advancing our national ...

Clover Health

Senior Machine Learning Engineer

$125.40K - $165.30K/yr

At Counterpart Health, we are transforming healthcare and improving patient care with our ... Clover uses Machine Learning/Natural Language Processing to leverage our data to help keep ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

You care about correctness. You take pride in the fact that your models perform reliably and ... Dedicated Sick Time -- Your health and well-being come first. * Comprehensive Health & Benefits ...

ICONMA

Machine Learning Engineer

Mclean, VA

Machine Learning Engineer Our client, a financial company, is looking for a Machine Learning ... Health benefits * Referral program * Excellent growth and advancement opportunities ICONMA is an ...

Quizlet

Machine Learning Engineer

Seattle, WA

$205K - $316.40K/yr

Machine Learning Engineer At Quizlet, our mission is to help every learner achieve their outcomes ... Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

We have an opening for a Machine Learning (ML) Bioengineer to conduct research training and ... public health missions. This position will be in the Computational Engineering Division (CED ...

Cymertek

Machine Learning Engineer

Aurora, CO

Machine Learning Engineer LOCATIONAurora, CO 80014 CLEARANCETS/SCI Full Poly (Please note this ... We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal ...

Cymertek

Machine Learning Engineer

Aurora, CO · On-site

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this ... We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal ...

Cymertek

Machine Learning Engineer

San Antonio, TX

Machine Learning Engineer LOCATIONSan Antonio, TX 78208 CLEARANCETS/SCI Full Poly (Please note this ... We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal ...

Cymertek

Machine Learning Engineer

Honolulu, HI · On-site

Machine Learning Engineer LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please note this ... We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal ...

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Permanent Healthcare Machine Learning information

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$98K

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How much do permanent healthcare machine learning jobs pay per year?

As of Jun 3, 2026, the average yearly pay for permanent healthcare machine learning in the United States is $97,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $22,000.00 and $160,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Healthcare Machine Learning jobs? The most popular types of Healthcare Machine Learning jobs are:
Permanent Healthcare Machine Learning jobs near you
Machine Learning Engineer

Machine Learning Engineer

Kitware

Arlington, VA • Hybrid

$110K - $160K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 25 days ago

Job description

Team Description:
Kitware is a leader in advanced research and algorithm development in artificial intelligence (AI), spanning computer vision (CV), natural language processing (NLP), vision-language models (VLMs), and other generative AI technologies. Our solutions embracing AI add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We have developed a deep understanding in extracting useful, actionable information from multiple data sources like images, video, metadata, audio, and text, and we recognize the need for robust, affordable solutions. We seek to advance AI, CV, and other related fields through research and development and collaborative projects that can contribute to our open source software platforms, such as XAITK, NRTK, and GeoWATCH.

About the Projects: 
Kitware's employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations. Much of Kitware's work involves applying state-of-the-art artificial intelligence approaches to dynamic, real-world problems. We consider the work that we do on our government contracts as one of the ways that we give back to the community. We partner with premier government R&D agencies such as DARPA, IARPA, AFRL, Army C5ISR, NOAA, and other branches of the US Government on a range of efforts, including prime contracts, SBIRs, and STTRs. In addition, we provide commercial services to companies ranging from startups to Fortune 500 companies. Kitware employs an open source business model to foster extended, collaborative communities and to provide effective, flexible, and high-quality technical solutions.
In This Position You Will:
  • Collaborate with researchers on projects related to machine learning, artificial intelligence, and computer vision 
  • Perform rapid prototyping and enhanced development to be integrated into operational systems
  • Contribute your strong programming ability and experience to develop robust solutions for real-world problems
  • Validate, optimize, and deploy advanced exploitation algorithms
  • Perform troubleshooting, bug fixes, and maintenance of existing and new code to ensure stability and robustness
Required Qualifications:
  • Bachelor's degree or Master's degree in Computer Science, Electrical and Computer Engineering, or related field
  • Proficiency in Python
  • Experience with deep learning libraries (PyTorch, TensorFlow, etc.)
  • Strong background in both classical and modern (deep learning) machine learning, including model selection, architecting, training, validation, testing, and deployment
  • Machine learning experience using visual data
  • Understanding of a variety of machine learning tasks, e.g. Object Detection, Segmentation, Re-Identification, Tracking, Pose, Super Resolution, Natural Language Processing
  • A high level of comfort with academic literature and the ability to adapt research products to solve real-world problems
  • Due to contractual requirements, only US Citizens will be considered for this position
  • If not already cleared TS/SCI, willingness and ability to apply for and maintain a TS/SCI security clearance
  • Some travel is required, typically 5-25%
  • Willingness to work 2-5 days a week on-site in a National Capital Region area government office, with the remainder of time in Kitware's office
Preferred Qualifications:
  • Active SECRET, TS, or TS/SCI security clearance
  • Experience curating quality, real-world datasets for training deep learning models
  • Proficiency in C++
$110,000 - $160,000 a year
Company Description:
Kitware is a research and development software solutions provider with a mission to advance science, make a positive impact, and share our results all within a collaborative, employee-focused work environment that is friendly, fair, and flexible. Our work is improving healthcare outcomes, increasing national security, and advancing our national computing infrastructure. Our customers and collaborators include top universities from around the world, government organizations, national research labs, medical device manufacturers, car manufacturers, financial institutions, and many others.  

Kitware is proud to be 100% employee-owned, and Great Place to Work-Certified.  

Additional Information:
Our team members enjoy a small company environment, flexibility in work assignments, and high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes a competitive compensation plan, tuition reimbursement program, flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks, and snacks. 

For more information on our benefit offerings please visit: https://www.kitware.com/careers/.

Kitware actively subscribes to a policy of equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, protected veteran status, uniformed service member status, or any other characteristics protected by applicable law. 

Any unsolicited resume sent to Kitware, including to Kitware's mailing addresses, fax machines or email addresses, whether directly to Kitware employees or to Kitware's applicant tracking system, will be considered Kitware property.  Kitware will not pay a fee for any placement resulting from the receipt of an unsolicited resume, and will consider any candidate submitted by a recruitment agency without a fully executed contract with Kitware to have been referred free of any charges or fees.

If you need assistance with applying or interviewing for a role due to a disability or special need, please reach out directly to our HR team at [email protected] at any time during the hiring process.  
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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