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Machine Learning Engineer

Pay
USD 110,000–200,000/year — pay source
Salary 110,000 – 200,000 USD per year Company Description:
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type Full Time
Employment type in the employer’s posting: Full Time
From the employer’s posting

Before you apply

Work authorization
US citizens onlyDue to contractual requirements, only US Citizens will be considered for this position

What you’ll work on

Full posting
  • Prototype and develop ML solutions for integration into operational systems

  • Validate, optimize, and deploy advanced exploitation algorithms

  • Collaborate with researchers on machine learning and computer vision projects

  • Troubleshoot, fix bugs, and maintain code for stability and robustness

From the employer’s posting
Perform rapid prototyping and enhanced development to be integrated into operational systems
Validate, optimize, and deploy advanced exploitation algorithms
Collaborate with researchers on projects related to machine learning, artificial intelligence, and computer vision
Perform troubleshooting, bug fixes, and maintenance of existing and new code to ensure stability and robustness

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree or Master's degree in Computer Science, Electrical and Computer Engineering, or related field
  • Experience with deep learning libraries (PyTorch, TensorFlow, etc.)
  • Understanding of a variety of machine learning tasks, e.g.

Preferred experience

  • Experience curating quality, real-world datasets for training deep learning models
Qualification wording
Bachelor's degree or Master's degree in Computer Science, Electrical and Computer Engineering, or related field
Experience with deep learning libraries (PyTorch, TensorFlow, etc.)
Understanding of a variety of machine learning tasks, e.g. Object Detection, Segmentation, Re-Identification, Tracking, Pose, Super Resolution, Natural Language Processing
Experience curating quality, real-world datasets for training deep learning models
Education & alternatives
Required Qualifications: - Bachelor's degree or Master's degree in Computer Science, Electrical and Computer Engineering, or related field - Proficiency in Python

About Kitware

In addition, we provide commercial services to companies ranging from startups to Fortune 500 companies.

In the employer’s words · Read in context

Apply at Kitware

Posting record

Report an error

Open 7 monthsWe first saw this posting 210 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Apr 15, 2026210 days ago
Recorded sightings
142
Last seen by us
Nov 11, 2026
Employer says posted
Feb 9, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Lower than most similar jobs

$110K–$200K against $166K–$240K, the middle half of what similar US postings state.

From 1,383 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 210

Up longer than most. Similar jobs usually come down between day 8 and day 75.

From 5,196 similar postings that came down. Coming down is not always a hire.

Kitware is hiring

2 open jobs

  • No new data jobs since April
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • C++
  • Python
  • PyTorch
  • TensorFlow
Where the posting names them
- Experience curating quality, real-world datasets for training deep learning models - Proficiency in C++ Salary
- 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.)
- 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

Your next step

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Already applied? Track this application

Has Kitware posted this job before?

Yes. We’ve followed one other Machine Learning Engineer job there since April 2026. It is still up.

  1. Clifton ParkStill up after 210 days, first seen Apr 15
  2. This jobUp 210 days so far, first seen Apr 15

Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 617, the most 1,122, and the latest week had 1,122.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

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++

Salary

110,000 – 200,000 USD per 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 hr@kitware.com at any time during the hiring process.  

Employment type

Full Time

Source details

View original posting ↗

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Pay
Salary 110,000 – 200,000 USD per year Company Description:
Location & working pattern

Arlington, Virginia

- 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:
Work authorization
- 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%
More source context
Preferred Qualifications: - Active SECRET, TS, or TS/SCI security clearance - Experience curating quality, real-world datasets for training deep learning models

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