Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Reads like a ML Engineer role: putting models into production.
Seattle, WA, United States
Open 4 months, first seen by us 125 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: ContractFrom the employer’s posting
Prototype and test computer vision and machine learning approaches for content risk inspection
Build high-precision, low-latency prediction models
Investigate new technologies and define product scope with other research scientists
Build vision-based solutions with software development teams for customer-facing applications
apply from variety of techniques in computer vision, deep learning, machine learning and image processing algorithms to build content risk inspection systems
generates a high-precision, low latency prediction models
collaborate with other research scientist across our company to define the scope of the product, identify and initiate investigations of new technologies
You will work closely with the software development teams to build robust vision-based solutions for customer-facing applications
PhD in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
5+ years of hands-on experience in predictive modelling and analysis
Depth and breadth in state-of-the-art computer vision and machine learning technologies
Strong algorithm development experience
Skills with Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language
10+ years of relevant experience in industry and/or academia.
Basic Qualifications - PhD in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field - Depth and breadth in state-of-the-art computer vision and machine learning technologies
Open 4 monthsWe first saw this posting 125 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Day 125
Up longer than most. Similar jobs usually come down between day 6 and day 70.
From 4,442 similar postings that came down. Coming down is not always a hire.
12 open jobs
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- Strong algorithm development experience - Skills with Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language Preferred Qualifications
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New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 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.
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.
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.
We are looking for an Senior Research Scientist who can work on different aspects of the video content, like text metadata, video, audio and images to apply from variety of techniques in computer vision, deep learning, machine learning and image processing algorithms to build content risk inspection systems. You will be contributing to a platform from the very early stages which will process terabytes of video content data. You will collaborate with other research scientist across our company to define the scope of the product, identify and initiate investigations of new technologies, prototype, test solutions and ability to web-lab performance between different approaches that generates a high-precision, low latency prediction models and deliver an exceptional customer experience. You will work closely with the software development teams to build robust vision-based solutions for customer-facing applications. You should be comfortable with a large degree of ambiguity and relish the idea of solving problems that, frankly, haven’t been solved at scale before. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people.
Basic Qualifications
Preferred Qualifications
** Please share me your updated word copy of Resume.
*** I Appreciate, if you can refer someone who is looking for this position.
Contact- 703-962-6656
Comtech is a woman-owned small business founded in 1998 and headquartered in Reston, VA. We offer IT solutions across the disciplines of program/project management, applications development, infrastructure, Cyber security, and enterprise content/data management services. We have developed our methodologies and processes based on the IT Infrastructure Library (ITIL) v.3 Framework across enterprise infrastructure operations. These methodologies and processes are reinforced through our organization’s externally accredited certifications, which include ISO 9001:2008 Quality Management System (QMS), ISO/IEC 20000-1:2011 IT Service Management Systems (SMS, corporate ITIL certification), ISO 27001:2005 Information Security Management System (ISMS), and CMMI-DEV Level 3"
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Seattle, WA, United States
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