ZipRecruiter

Log In

2

Entry Level Computer Vision Engineer Jobs in Riverside, CA

FieldAI

3D Machine Learning Engineer

Irvine, CA

$150K - $200K/yr

Familiarity with OpenCV and PCL (Point Cloud Library) for classical computer vision and 3D data ... Our teams span AI, software, robotics engineering, product, field deployment, and technical ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

Familiarity with OpenCV and PCL (Point Cloud Library) for classical computer vision and 3D data ... Our teams span AI, software, robotics engineering, product, field deployment, and technical ...

Masimo

Engineer II, AI/Machine Learning

Irvine, CA

$120K - $150K/yr

Experience with computer vision and/or robotics * Experience with databases and their tools Education: * M.S./Ph.D. degree in Electrical/Computer Engineering/Computer Science, (advanced degree ...

Masimo

Engineer II, AI/Machine Learning

Irvine, CA · On-site

$120K - $150K/yr

Experience with computer vision and/or robotics * Experience with databases and their tools Education: * M.S./Ph.D. degree in Electrical/Computer Engineering/Computer Science, (advanced degree ...

Slope

Propulsion Test Engineer

Irvine, CA · On-site

$129 - $171/hr

... computer vision, sensor fusion, and networking technology to the military in months, not years ... ABOUT THE JOB Anduril's Propulsion Manufacturing Engineering Team is seeking a Propulsion Test ...

New

CYNET SYSTEMS

Quality Engineer

Irvine, CA · On-site

$35 - $40/hr

This entry-level quality engineer will partner closely with a senior engineer in order to provide ... Experience with MS Office Suite and statistical analysis tool, CAD experience preferred.

Anduril Industries

Software Engineer, Full Stack

Irvine, CA · On-site

$166K - $220K/yr

... computer vision, sensor fusion, and networking technology to the military in months, not years ... Working across product, engineering, sales, logistics, operations, and mission success, the Air and ...

Anduril Industries

Software Engineer, Full Stack

Irvine, CA · On-site

$166K - $220K/yr

... computer vision, sensor fusion, and networking technology to the military in months, not years ... Working across product, engineering, sales, logistics, operations, and mission success, the Air and ...

previous page

Showing results 41-60

All JobsComputer Vision Engineer JobsEntry Level Computer Vision Engineer JobsEntry Level Computer Vision Engineer Jobs in Riverside, CA

Entry Level Computer Vision Engineer information

See Riverside, CA salary details

$50.6K

$126.8K

$143.4K

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

As of Aug 19, 2026, the average yearly pay for entry level computer vision engineer in Riverside, CA is $126,773.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,300.00 and $137,200.00 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 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.

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 are popular job titles related to Entry Level Computer Vision Engineer jobs in Riverside, CA?

For Entry Level Computer Vision Engineer jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Entry Level Computer Vision Engineer jobs in Riverside, CA look for?

The top searched job categories for Entry Level Computer Vision Engineer jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Entry Level Computer Vision Engineer jobs?

Cities near Riverside, CA with the most Entry Level Computer Vision Engineer job openings:

Entry Level Computer Vision Engineer jobs near you
Infographic showing various Entry Level Computer Vision Engineer job openings in Riverside, CA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $126,773 per year, or $60.9 per hour.

3D Machine Learning Engineer

FieldAI

Irvine, CA

$150K - $200K/yr

Full-time

Re-posted 9 days ago

Job description

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
What You'll Do
  • Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing for point cloud analysis, object detection, segmentation, and scene understanding.
  • Train, optimize, and deploy deep learning models using PyTorch, TensorFlow, or equivalent frameworks on cloud platforms such as AWS (e.g., SageMaker, EC2).
  • Collaborate with software and systems engineers to integrate models into production environments and continuously improve inference pipelines.
  • Analyze diverse sensor inputs, including RGBD imagery, LiDAR point clouds, 360 photos, audio, and Building Information Models (BIM).
  • Work closely with the labeling and data operations teams to define robust data annotation strategies and ensure high model performance and generalization.
What You Have
  • Bachelor's or Master's degree in Computer Science, Machine Learning, Robotics, or a related technical field.
  • 2+ years of hands-on industry experience developing and deploying machine learning systems for 3D point clouds, perception, or spatial understanding tasks.
  • Strong background in 3D machine learning, with experience in deep learning for point clouds, multi-view fusion, or geometric learning.
  • Strong expertise in Python and deep learning frameworks: PyTorch, TensorFlow, or similar.
  • Familiarity with OpenCV and PCL (Point Cloud Library) for classical computer vision and 3D data preprocessing.
  • Experience training, evaluating, and deploying ML models using cloud infrastructure (e.g., AWS, SageMaker) and containerized workflows.
  • Solid understanding of the end-to-end ML lifecycle, including experiment tracking, reproducibility, model versioning, and optimization for production.
  • Proven ability to work in fast-paced, interdisciplinary teams across software, ML, and product teams.
The Extras That Set You Apart
  • Experience working with BIM data, digital twins, or construction-related sensor data.
  • Background in geometric deep learning, 3D mesh analysis, GIS systems, or structured scene representations.
  • Familiar with MLOps pipelines using Ray, SageMaker, MLflow, or Kubeflow.
  • Strong foundation in geometric computer vision, robotics, or algorithmic 3D reasoning.
  • Exposure to graph neural networks, geodesic computations, or neural implicit representations (e.g., NeRF, Occupancy Networks).
  • Deep experience with point cloud and graph learning frameworks such as Open3D-ML, Torch-Points3D, PyG, or MMDetection3D.
  • Experience building custom modules for SparseConvNet or 3D transformers.
$150,000 - $200,000 a year
Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.
 
Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.
 
Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.
 
Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.
 
We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.
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.
apply for this job

Apply