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Image Recognition Jobs (NOW HIRING)

GeoYeti

Expert Data Scientist

Augusta, GA · On-site

Apply data science techniques - regression, NLP, clustering, neural networks, deep learning, image recognition - to geospatial problems * Develop and employ algorithms supporting GEOINT mission ...

GeoYeti

Expert Data Scientist

Augusta, GA · On-site

Apply data science techniques - regression, NLP, clustering, neural networks, deep learning, image recognition - to geospatial problems * Develop and employ algorithms supporting GEOINT mission ...

Elios Talent

Computer Vision Engineer

Manhattan, NY · Remote

$125K - $200K/yr

Apply deep learning to image recognition and automation. Job Information Title: Computer Vision Engineer Location: Flexible / Remote Employment Type: Full-Time Compensation: $125,000 - $200,000 ...

Cesna Group

Junior Computer Vision Engineer

San Diego, CA · On-site

$100K - $200K/yr

... image recognition/classification, object detection/recognition, 3D reconstruction and deep learning * - To design, implement, and deploy full-stack computer vision and machine learning solutions ...

GeoYeti

Expert Data Scientist

Augusta, GA · On-site

Apply data science techniques -- regression, NLP, clustering, neural networks, deep learning, image recognition -- to geospatial problems * Develop and employ algorithms supporting GEOINT mission ...

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How much do image recognition jobs pay per year?

As of Jun 7, 2026, the average yearly pay for image recognition in the United States is $54,138.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $59,000.00 per year, depending on experience, location, and employer.

What are some common day-to-day responsibilities in an Image Recognition job?

Professionals in Image Recognition typically spend their days developing and training machine learning models to identify objects or patterns in images, labeling datasets, and evaluating algorithm performance. Collaborating with data scientists, software engineers, and product managers is a regular part of the workflow to ensure integration into larger systems. You may also work on optimizing models for speed and accuracy, researching new techniques, or troubleshooting issues with data quality. Staying up to date on advancements in computer vision helps contribute to innovative and effective solutions.

What is an Image Recognition job?

An Image Recognition job involves developing, training, and optimizing computer vision models to analyze and interpret images. Professionals in this field work with machine learning algorithms, neural networks, and large datasets to enable systems to recognize patterns, objects, and features in visual data. Roles may include data annotation, model development, and performance evaluation to improve accuracy. Applications range from facial recognition and autonomous vehicles to medical imaging and industrial automation. Strong skills in programming, deep learning frameworks, and data processing are typically required.

What are the key skills and qualifications needed to thrive in the Image Recognition position, and why are they important?

To thrive in Image Recognition roles, you need a solid background in computer vision, machine learning, programming (often Python or C++), and typically a relevant technical degree. Familiarity with deep learning frameworks like TensorFlow or PyTorch, as well as experience with large-scale data processing tools, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication are crucial soft skills. These skills enable you to develop accurate image recognition systems, optimize performance, and collaborate effectively on multidisciplinary teams.

More about Image Recognition jobs
What are the most commonly searched types of Image Recognition jobs? The most popular types of Image Recognition jobs are:
What states have the most Image Recognition jobs? States with the most job openings for Image Recognition jobs include:
What job categories do people searching Image Recognition jobs look for? The top searched job categories for Image Recognition jobs are:
Image Recognition jobs near you
Infographic showing various Image Recognition job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 72% In-person, 14% Hybrid, and 14% Remote job distribution, with an average salary of $54,138 per year, or $26 per hour.

Senior Firmware Engineer - Image Processing

Brightstar Lottery

West Greenwich, RI • Hybrid

$74K - $164K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Job description

Brightstar is an innovative, forward-thinking global leader in lottery that builds on our renowned expertise in delivering secure technology and producing reliable, comprehensive solutions for our customers. As a premier pure play global lottery company, our best-in-class lottery operations, retail and digital solutions, and award-winning lottery games enable our customers to achieve their goals, fulfill player needs and distribute meaningful benefits to communities. Brightstar has a well-established local presence and is a trusted partner to governments and regulators around the world, creating value by adhering to the highest standards of service, integrity, and responsibility.  Brightstar has approximately 6,000 employees. For more information, please visit www.brightstarlottery.com.

Overview

Brightstar Lottery is seeking a highly experienced Firmware Engineer with deep expertise in image processing to join our Retail Channel Engineering team. This role is critical to the development and optimization of cutting-edge firmware solutions that power our lottery products. The ideal candidate will bring a strong foundation in C/C++ development, advanced image processing techniques, and a passion for innovation in AI and machine learning.

Responsibilities
  • Design, develop, debug, and maintain firmware using machine language, assembly, and high-level languages (C, C++) for Brightstar Lottery products.
  • Architect and implement image processing algorithms including OMR, OCR, and multi-spectrum imaging (White Light, UV, IR).
  • Enhance image and video quality through mathematical and computational techniques.
  • Apply AI/ML methods to improve image recognition and processing capabilities.
  • Prepare and annotate large-scale image datasets for model training and evaluation.
  • Train, validate, and deploy deep learning models using TensorFlow, PyTorch, and OpenCV.
  • Conduct performance analysis and optimize models for accuracy, latency, and resource efficiency.
  • Collaborate cross-functionally with software, hardware, and data science teams to ensure seamless system integration and deployment.
  • Stay abreast of emerging trends and research in computer vision, image processing, and AI.
Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or Physics.
  • 8+ years of experience in C/C++ software development, including design and documentation.
  • Strong foundation in computer science, mathematics, and physics.
  • Proficiency in Linux OS, including system-level programming, kernel development, and device drivers.
  • Deep understanding of image processing techniques and algorithm development.
  • Experience with deep learning frameworks (TensorFlow, PyTorch) and libraries (OpenCV).
  • Familiarity with cloud platforms such as AWS or Azure is a plus.
  • Excellent problem-solving skills and ability to thrive in fast-paced, collaborative environments.
Keys to Success

• Leading Complexity
• Leading People
• Leading the Business
• Leading Self

#LI-BK1 #LI-HYBRID #LotteryTechnology

At Brightstar, we consider a wide range of factors in determining compensation, including background, skills, experience, and work location. These factors can cause your compensation to vary. The estimated starting salary range is $74,961-$164,800. The actual pay offered may end up being higher or lower. The Company will comply with all local pay requirements and collective bargaining agreements, where applicable. 

Base pay is only one part of our Total Rewards program.  Sales roles may be eligible for commission payments, while other roles may be eligible for short-term incentive or other discretionary bonuses. More senior roles maybe eligible for long-term incentive bonuses. In addition, we offer employees a 401(k) Savings Plan with Company contributions, health, dental, and vision insurance, life, accident, and disability insurance, tuition reimbursement, paid time off, wellness programs, and identity theft insurance. Note: programs are subject to eligibility requirements.

All Brightstar employees have a role in information security. Annual training will be assigned and required as appropriate.

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