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Senior Research Scientist/ Data Scientist

Seattle, WA, United States

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Apply at Comtech LLC

What you’ll work on

Full posting
  • You will work closely with the software development teams to build robust vision-based solutions for customer-facing applications.

From the employer’s posting
Video content risk inspection team is chartered to protect and mitigate any inappropriate/disappointing content as well as any copyright infringement content to provide a trust-worthy customer experience as well as secure existing provider relationships. On the team you’ll be able to get your hands on lots of technologies to build distributed, scalable, low-latency solutions for real-world customer facing problems. 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 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. Qualifications

What you’ll bring

All qualifications

Core experience

  • 5+ years of hands-on experience in predictive modeling and analysis
Qualification wording
5+ years of hands-on experience in predictive modeling and analysis

Tools in this posting

  • Java
  • Matlab
  • Python
  • R
  • C++
Source — Tool mentions in context
- Strong algorithm development experience - Skills with Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language -

Job description

View original posting ↗

Job Description

Are you interested in shaping the future of movies, television, and digital video? Do you want to define what video content customers are watching? Video Direct (VD) is a self-service platform that enables any video creator to publish video to reach millions of customers globally and monetize from the sales and consumption.

Video content risk inspection team is chartered to protect and mitigate any inappropriate/disappointing content as well as any copyright infringement content to provide a trust-worthy customer experience as well as secure existing provider relationships.

On the team you’ll be able to get your hands on lots of technologies to build distributed, scalable, low-latency solutions for real-world customer facing problems. 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 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.

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
  • 5+ years of hands-on experience in predictive modeling and analysis
  • Strong algorithm development experience
  • Skills with Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language

Additional Information

  • 10+ years of relevant experience in industry and/or academia.
  • Publications at top-tier peer-reviewed conferences or journals
  • Proven track record of innovation in creating novel algorithms and advancing the state of the art
  • Depth and breadth in state-of-the-art computer vision and machine learning technologies.

Company Description

Comtech is a woman-owned small business focused on delivering end-to-end solutions and products. Since 1998, we have successfully serviced enterprises across the public and private sectors, and the Department of Defense. Our services span all aspects of business, providing a holistic approach for managing an organization.

Vision & Mission

Comtech delivers value to customers through three key attributes: Innovation, Transformation, and Information. Comtech’s founder Shailendra Sharma believes the solutions and products should focus on resolving everyday problems to enable simplicity. Comtech is committed to providing technical innovations and tools that empower organizations to facilitate decision-making that result in business transformations.

Certifications

Our commitment to quality is adopted throughout the organization and sets the foundation for delivering our full suite of capabilities. Comtech implements methodologies and processes based on the IT Infrastructure Library (ITIL) v.3 Framework across enterprise infrastructure operations. These are reinforced through our organization’s externally accredited certifications, which include ISO/IEC 20000-1:2011 (Corporate ITIL Service Delivery), ISO 27001:2013 (Corporate Security), ISO 9001-2008 (Corporate Quality) and CMMI Level 3 (Quality and Uniformity).

Your next step

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Source & posting history

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Pay

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Location & working pattern

Seattle, WA, United States

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Status in our records
Active
First seen by us
Jul 3, 2026
Recorded sightings
21
Last seen by us
Oct 7, 2026
Employer says posted
Jan 11, 2017

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