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Evening Computer Vision Deep Learning Engineer Jobs in Rhode Island

Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ... Deep, demonstrable expertise in computer vision, machine learning algorithms, and the end-to-end ...

Requires a Bachelor's degree in Computer Science, Mathematics, or Statistics, and a minimum of 8 ... Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.

Sr. Machine Learning Engineer Duration: 12 -24 Months Location: Merrimack, NH/ Smithfield, RI ... Engineering, Computer Science, etc.) * 8+ years of proven experience in implementing Big data ...

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Evening Computer Vision Deep Learning Engineer information

What is the difference between Evening Computer Vision Deep Learning Engineer vs Computer Vision Deep Learning Engineer?

AspectEvening Computer Vision Deep Learning EngineerComputer Vision Deep Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with deep learning frameworksBachelor's or Master's in CS, AI, or related fields; experience with deep learning frameworks
Work EnvironmentTypically evening or night shifts, often in research labs or tech companiesStandard daytime hours, in offices or remote settings
Industry UsageUsed in industries with 24/7 operations like surveillance, security, or manufacturingCommon across tech, automotive, healthcare, and research sectors

The main difference lies in work hours and shift timing. Evening Computer Vision Deep Learning Engineers work primarily during evening or night shifts, often in environments requiring 24/7 monitoring or operations. In contrast, Computer Vision Deep Learning Engineers usually work standard daytime hours. Both roles require similar skills and educational backgrounds, but their schedules and work environments differ significantly.

What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs in Rhode Island? The most popular types of Computer Vision Deep Learning Engineer jobs in Rhode Island are:
What are popular job titles related to Evening Computer Vision Deep Learning Engineer jobs in Rhode Island? For Evening Computer Vision Deep Learning Engineer jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Evening Computer Vision Deep Learning Engineer jobs in Rhode Island look for? The top searched job categories for Evening Computer Vision Deep Learning Engineer jobs in Rhode Island are:
What cities in Rhode Island are hiring for Evening Computer Vision Deep Learning Engineer jobs? Cities in Rhode Island with the most Evening Computer Vision Deep Learning Engineer job openings:
Software Engineer, Computer Vision & Autonomy

Software Engineer, Computer Vision & Autonomy

Charles River Analytics

Wakefield, RI • On-site

$100K - $200K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Charles River Analytics, a GRVTY company, creates solutions and technology to tackle the world's most challenging problems. Our team of technological entrepreneurs works together to push at the forefront of enhanced AI, robotics, smart sensing, and human-centered computing. The resulting research and development help to continuously advance government programs and discover new possibilities in the commercial marketplace. At Charles River, we take great pride in our success at attracting and retaining the most talented and creative problem-solvers in our field. Now as part of GRVTY, we offer the same trusted capabilities with increased organizational depth and expanded capacity across mission-critical national security domains. Are you ready to accelerate our mission-focused innovations? We'd love to hear from you!

We are looking for a Software Engineer (early career to senior level) to join our expanding marine systems team in Wakefield, Rhode Island. This role offers the chance to contribute to a growing, innovative defense company and to work on exciting challenges across marine systems, computer vision, and autonomous technologies. In this position, you will apply your passion and expertise in computer vision to develop new prototypes and help transform innovative concepts into practical, missionfocused solutions with realworld impact.

How you will make a positive impact:

  • Implement robust, reusable software with a focus in computer vision/machine learning to support a wide variety of applications, such as object detection/tracking, image manipulation and processing, across a variety of domains: maritime, space, robotics, drone operations
  • Optimize framework-based (e.g., PyTorch, TensorFlow) deep learning models for fast inference performance
  • Contribute technically to projects, including developing architectures and detailed designs, reviewing pull requests, and generating content for proposals and reports
  • Interact with customers (e.g., at project kickoff, at field exercises, etc.), users, and domain experts to analyze and understand challenges and to design and develop engineering solutions accordingly
  • Work with team members (scientists and other engineers) and customers to understand project goals and translate those goals into technical requirements
  • Promote and scale technical capabilities towards larger company efforts, transition, and commercialization

What you will need:

  • Bachelor's degree in Computer Science, Computer/Electrical Engineering, or related field
    • Equivalent work experience is also acceptable
  • 2 or more years of demonstrable experience (or a Master's degree with a relevant field) with the following (level will be informed by experience):
    • A modern programming language such as Python and C++
    • Experience with some of the following: object detection, object tracking, vSLAM, visual odometry, segmentation, image denoising, and/or other subfields of computer vision
  • Experience with software development and source control best practices (e.g., testing, branching, code reviews)
  • Experience with containerization
  • Experience working in, building and setting up Linux computer systems
  • Able to lift 50 lbs
  • Willingness to travel to support customer- and integration-related events
  • U.S. Citizenship
  • The selected candidate will be expected to possess or apply for a U.S. Government Security Clearance upon being hired
  • Work in office at the Wakefield, RI facility with a flexible 9/80 schedule.

Experience that will make you stand out:

  • 5+ years of demonstrated CV / Autonomy experience preferred
  • Experience with tools like OpenCV and Robot Operating System (ROS)
  • Experience with deep learning tools such as TensorFlow and PyTorch
  • Experience developing both research and production-quality software
  • Experience with data engineering and managing data sets
  • Experience with computer networking and network programming
  • Willingness to assist in physical installation, fabrication, testing, and troubleshooting where needed
  • Willingness to work in the marine environment such as on-board boats
  • Experience using electrical test equipment (multimeters, and oscilloscopes)
  • Experience developing for and/or operating uncrewed vehicles
  • Willingness to travel within the US to support on-site integration and testing with customers

Salary Range

$100,000 - $200,000 

The above projected salary range is an estimate based on the internal job level(s) for which this role is being considered. The final salary will be decided after careful evaluation of the individual's work experience, education, and overall qualifications. This range does not include the substantial total rewards, as listed below, that you will also be eligible for as an employee at Charles River Analytics.

Why Charles River?
Charles River Analytics thrives on collaboration and values each team member. We offer competitive compensation plus bonus and retirement contribution, with an attractive benefits package including 100% employer-paid medical and dental insurance, as well as vision, life, and disability insurance, paid maternity/paternity leave, tuition reimbursement, monthly gym allowance, free parking, generous paid time off, and a casual environment. We offer tremendous flexibility and value work-life balance. Charles River became an employee-owned company in 2012, to set the stage for the next-generation of innovation, service, and growth in R&D. As we entered 2026, we joined forces with GRVTY, gaining the scale and capacity to transition, field, and sustain our innovations faster and more effectively than ever before.