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Computer Vision Deep Learning Engineer Jobs (NOW HIRING)

digitalglobalservices

Computer Vision Engineer

Little Rock, AR · On-site +1

$106.90K - $126.10K/yr

... seeking a skilled Computer Vision Engineer to design and develop cutting-edge vision-based ... Train and optimize deep learning models using frameworks like TensorFlow or PyTorch. Work with ...

Actalent

Computer Vision Engineer

Marysville, OH · On-site

$102.40K - $120.80K/yr

... deep learning-based methods. * Implement and integrate vision algorithms using tools such as C ... engineering, controls, systems, computer science, data science, or equivalent experience. * At ...

XPENG

Senior Computer Vision Engineer

Santa Clara, CA · On-site

$143.80K - $189.60K/yr

We are seeking a talented Computer Vision / Machine Learning Engineer to develop and optimize multi ... with deep learning frameworks (e.g., PyTorch, TensorFlow) and computer vision libraries (e.g ...

Norbert Health

Computer Vision/ML Engineer

Brooklyn, NY · On-site

$117.20K - $138.30K/yr

The position We are looking for our lead deep learning engineer to spearhead the development of our ... What you will do: * Design, fine-tune, and deploy computer vision models (YOLO, InsightFace ...

Zensors

AI/ML Infrastructure Engineer

San Francisco, CA · On-site

$126.70K - $166.10K/yr

As a Machine Learning Engineer in ML Runtime & Optimization , you will develop technologies to ... Work in Computer Vision , Deep Learning, and Vision Transformers. * Experience with video ...

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All JobsComputer Vision Deep Learning Engineer Jobs

Computer Vision Deep Learning Engineer information

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$48.5K

$121.5K

$137.5K

How much do computer vision deep learning engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for computer vision deep learning engineer in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What is a Computer Vision Deep Learning Engineer job?

A Computer Vision Deep Learning Engineer designs, develops, and optimizes deep learning models for tasks like image recognition, object detection, and segmentation. They work with large datasets, train neural networks, and fine-tune models to achieve high accuracy. The role involves using frameworks like TensorFlow or PyTorch, implementing computer vision algorithms, and deploying models for real-world applications. Strong programming skills in Python and experience with deep learning techniques are essential.

What are the key skills and qualifications needed to thrive in the Computer Vision Deep Learning Engineer position, and why are they important?

To thrive as a Computer Vision Deep Learning Engineer, you need a strong background in machine learning, computer vision, mathematics, and programming (usually Python or C++), often supported by a relevant degree such as computer science, electrical engineering, or a related field. Experience with frameworks like TensorFlow, PyTorch, OpenCV, and familiarity with cloud computing environments or GPU acceleration are typically essential, with additional value from certifications in AI or deep learning. Strong problem-solving abilities, teamwork, and clear communication are valuable soft skills for collaborating on complex research and product development projects. These skills and qualifications ensure effective design, implementation, and integration of state-of-the-art computer vision solutions within multidisciplinary teams and real-world applications.

What are some typical challenges faced by Computer Vision Deep Learning Engineers in their daily work?

Computer Vision Deep Learning Engineers often face challenges such as handling large, complex datasets, tuning deep learning models to achieve high accuracy, and optimizing processing speed for real-time applications. They may encounter difficulties with noisy or incomplete data, require advanced troubleshooting when models underperform, and must stay updated with rapid advancements in the field. Collaboration with data scientists, software engineers, and product teams is common, so balancing technical depth with effective communication is key. Overcoming these challenges requires strong analytical skills, continuous learning, and a proactive problem-solving mindset.
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Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Computer Vision Deep Learning Engineer job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, 95% Full Time, 1% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.
PhD Autonomy Engineer Intern - Deep Learning or Computer Vision

PhD Autonomy Engineer Intern - Deep Learning or Computer Vision

Skydio, Inc

San Mateo, CA • On-site

$58/hr

Internship

Posted 23 days ago

Job description

Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders, soldiers in battlefield scenarios, and beyond.
  • About the role:
    The core of our system is the computer vision algorithms that allow drones to understand the world around them. You will architect and implement the algorithms that run on every drone powered by Skydio as part of a world class computer vision team with researchers who have pushed the state of the art in academia and industry.
    We look for interns year around (Fall, Spring, Summer) in our program. As a PhD Research Intern, you will be paired up with one or more members of our core software development team, assuming direct ownership of a project that meaningfully advances the capabilities of our team and products.
    If you have a strong foundation in math, theory, and software development with relevant research and you are interested in directly contributing to the development of the next generation of autonomy algorithms and pushing them into real products, we would love to hear from you.
    How you'll make an impact:
    • Enable rapid research and development of intelligent systems with advanced autonomous capabilities beyond anything that exists in the world today
    • Research, prototype, and generally assess the feasibility of new approaches
    • Imagine and then implement new features that unlock magic for our users
    • Characterize and quantify the performance of core components of the software and hardware stack

    What makes you a strong fit:
    • High proficiency in C++ and/or Python
    • Demonstrated enthusiasm for one or more of the following: computer vision, deep learning, motion planning, dynamics and controls, 3D graphics, embedded software/firmware, distributed systems, tools/infrastructure, mobile
    • Solid software engineering foundation and a commitment to writing clean, well-architected code
    • Ability to thrive in a fast-paced, collaborative, small team environment

    Compensation Range: The annual base salary range for this position is $58 for PhD students*. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. In addition to base salary, Skydio full-time employees are eligible to enroll in our benefit plans and take advantage of a variety of incentives and stipends.
    *For some positions the pay may be dependent upon the individual's regional location.
    #LI-PG1

At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws.
For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/

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