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Entry Level Computer Vision Engineer Jobs (NOW HIRING)

Experience with 3D Vision * Publication record in relevant venues (CVPR, ICLR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH) $19 - $65 an hour Our internship hourly rates are a standard pay determined based ...

Experience with 3D Vision * Publication record in relevant venues (CVPR, ICLR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH) $19 - $65 an hour Our internship hourly rates are a standard pay determined based ...

Computer Vision (Software) Engineer Sciton is a Silicon Valley based pioneer in laser, light, and energy technologies for aesthetic and medical applications. Our engineers helped bring laser products ...

Computer Vision (Software) Engineer Sciton is a Silicon Valley based pioneer in laser, light, and energy technologies for aesthetic and medical applications. Our engineers helped bring laser products ...

Solid background in computer programming using C++ , C# , VB.net and Statistical Analysis * Experience using Cognex Insight, VisionPro, Keyence Vision system, National Instrument etc... * Experience ...

Position Overview We are seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation. You will work across the full ...

Solid background in computer programming using C++ , C# , VB.net and Statistical Analysis * Experience using Cognex Insight, VisionPro, Keyence Vision system, National Instrument etc... * Experience ...

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Entry Level Computer Vision Engineer information

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$48.5K

$121.5K

$137.5K

How much do entry level computer vision engineer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for entry level computer vision 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 does an Entry Level Computer Vision Engineer do?

An Entry Level Computer Vision Engineer assists in developing computer systems that can interpret and process visual information from the world, such as images and videos. They typically work with machine learning algorithms, neural networks, and image processing techniques to solve problems like object detection, facial recognition, and image classification. Their work often involves data annotation, model training, testing, and optimizing algorithms under the guidance of senior engineers. Entry level engineers usually have a background in computer science or related fields and are familiar with programming languages such as Python and libraries like OpenCV and TensorFlow.

What is the difference between Entry Level Computer Vision Engineer vs Computer Vision Analyst?

AspectEntry Level Computer Vision EngineerComputer Vision Analyst
Required CredentialsBachelor's in CS, Electrical Engineering, or related; knowledge of ML and CV frameworksBachelor's in CS, Data Science, or related; strong analytical skills
Work EnvironmentTech companies, R&D labs, startups; focus on developing algorithms and modelsData analysis teams, research firms; focus on interpreting CV data and insights
Employer & Industry UsageTech, automotive, robotics, healthcareMarket research, consulting, security, and surveillance

Entry Level Computer Vision Engineers focus on developing and implementing computer vision algorithms, often working in R&D or product teams. In contrast, Computer Vision Analysts primarily interpret and analyze CV data to generate insights. Both roles require a strong technical background, but their daily tasks and industry applications differ.

What types of projects do entry level computer vision engineers typically work on, and how much collaboration is involved?

Entry level computer vision engineers often work on tasks like annotating datasets, developing and testing algorithms for image or video analysis, and supporting the integration of computer vision models into existing applications. These projects usually require close collaboration with data scientists, senior engineers, and sometimes product managers to ensure models meet performance requirements. It's common to participate in code reviews and team meetings, fostering a supportive learning environment. As you gain experience, you'll likely take on more complex responsibilities and contribute to larger project components.

What are the key skills and qualifications needed to thrive as an Entry Level Computer Vision Engineer, and why are they important?

To thrive as an Entry Level Computer Vision Engineer, you need a solid background in computer science, mathematics, and image processing, often supported by a relevant degree. Familiarity with programming languages like Python or C++, experience with deep learning frameworks (such as TensorFlow or PyTorch), and knowledge of OpenCV are typically required. Strong problem-solving abilities, attention to detail, and effective teamwork set top candidates apart. These skills and tools are essential for developing, optimizing, and implementing computer vision solutions in real-world applications.
More about Entry Level Computer Vision Engineer jobs
What cities are hiring for Entry Level Computer Vision Engineer jobs? Cities with the most Entry Level Computer Vision Engineer job openings:
What are the most commonly searched types of Computer Vision Engineer jobs? The most popular types of Computer Vision Engineer jobs are:
What states have the most Entry Level Computer Vision Engineer jobs? States with the most job openings for Entry Level Computer Vision Engineer jobs include:
Computer Vision Engineer Intern

Computer Vision Engineer Intern

PlusAI

Santa Clara, CA โ€ข On-site

$19 - $65/hr

Full-time, Internship

Retirement

Re-posted 27 days ago


Job description

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World's Most Innovative Companies. Partners including TRATON GROUP's Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you're ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.
Construct Digital Twins: Develop and optimize pipelines to reconstruct high-fidelity, multi-modal 3D representations of key driving routes using recorded vehicle data (camera, LiDAR, IMU, and GPS).
Implement Next-Gen Tech: Apply state-of-the-art neural rendering and view-synthesis techniques, such as 3D Gaussian Splatting (3DGS) and NeRFs, to handle challenging real-world lighting, weather, and dynamic objects.
Drive Validation & Verification (V&V): Integrate reconstructed environments into our perception testing framework to stress-test object detection, tracking, and edge-case scenarios.
Evaluate Multi-Modal Accuracy: Ensure alignment and geometric consistency between different sensor modalities within the reconstructed digital twin.
Collaborate & Scale: Work closely with the Simulation and Perception teams to turn research prototypes into robust, scalable tooling that directly impacts our production deployment timeline.
Responsibilities:
  • Work on generating 3D/4D scene reconstructions to simulate driving scenes while generating realistic sensor data including multiple view camera and lidar

Required Skills:
  • Pursuing MS or PhD in CS, EE, mathematics, statistics or related field
  • Deep understanding of machine learning principles and methodologies
  • Experience with implementing deep learning models in at least one deep learning framework (PyTorch, Tensorflow, Jax)

Preferred Skills:
  • Past experiences in deep learning projects involving object detection, motion tracking or semantic segmentation
  • Experience with 3D Vision
  • Publication record in relevant venues (CVPR, ICLR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH)

$19 - $65 an hour
Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.
Your opportunities joining PlusAI
Work, learn and grow in a highly future-oriented, innovative and dynamic field.
Wide range of opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.