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Entry Level Computer Vision Engineer Jobs in Riverside, CA

FieldAI

2.53 3D Machine Learning Engineer

Irvine, CA · On-site

They are seeking a 3D Machine Learning Engineer to design, implement, and maintain advanced 3D ... Library) for classical computer vision and 3D data preprocessing. • Experience training ...

Staffingine LLC

AI/GenAI Engineer

Irvine, CA · On-site

Job Title: AI/GenAI Engineer Job Location: Irvine, CA Job Type: Contract * Lead and conduct ... Design and implement machine learning deep learning natural language processing and computer vision ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

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

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

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 · 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 ...

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 ...

AECOM

Entry Level Structural Engineer

Orange, CA · On-site

Uses computer software as a tool for solving basic engineering problems. * Performs work in ... Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D ...

AECOM

Entry Level Structural Engineer

Orange, CA · On-site

Uses computer software as a tool for solving basic engineering problems. * Performs work in ... Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D ...

AECOM

Entry Level Structural Engineer

Orange, CA

Uses computer software as a tool for solving basic engineering problems. * Performs work in ... Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D ...

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.

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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 Jul 9, 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 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.
What are the most commonly searched types of Computer Vision Engineer jobs in Riverside, CA? The most popular types of Computer Vision Engineer jobs in Riverside, CA are:
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
Software Development Engineer II - AI Software Components

Software Development Engineer II - AI Software Components

Esri

Redlands, CA • On-site

$101K - $167K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Esri rating

9.5

Company rating: 9.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

6th of 205 rated software companies

Job description

Overview
Join our team in building the next generation of AI capabilities across our geospatial software products, supporting indoor mapping and reality, roadway and utility GIS, and system observability solutions. Our team develops scalable, high-performance software that brings advanced spatial intelligence and automation to complex operational environments.
As a Software Development Engineer II focused on AI innovation, you will help research, prototype, and integrate AI technologies, including Large Language Models (LLMs), Computer Vision, and Multimodal Systems-into real-world applications. You will work closely with cross-functional engineering and product teams to deliver innovative features that improve workflows, automation, and user experience.
If you are passionate about geospatial technology, AI, and building practical solutions from emerging technologies, this is the place to grow your career.
Responsibilities
  • Research and prototype AI-driven features for geospatial software products
  • Integrate LLMs, computer vision, and AI services into existing applications
  • Develop tools that automate workflows for indoor mapping and indoor reality creation, roadway and utility GIS, and GIS system observability
  • Assist in model evaluation, benchmarking, and performance testing
  • Contribute to spec-driven development and AI-assisted coding workflows
  • Collaborate with cross-functional teams to deliver AI-powered features
  • Document experiments, prototypes, and technical approaches
  • Present findings on work; synthesize and address feedback
  • Participate in software quality and code review processes

Requirements
  • 2+ years of professional software development experience evaluating, prototyping, and integrating AI technologies and approaches into software solutions
  • Strong proficiency in Python
  • Strong understanding and the ability to develop software algorithms
  • Working knowledge of JavaScript or TypeScript
  • Experience building or integrating APIs and services
  • Database knowledge, including SQL and data modeling
  • Strong analytical and problem-solving skills
  • Effective communication and teamwork abilities
  • Bachelor's degree in Computer Science, Software Engineering or a related STEM field

Recommended Qualifications
  • Experience building RAG (Retrieval-Augmented Generation) systems
    • Familiarity with semantic search and vector databases
  • Experience with computer vision models, such as:
    • SAM (Segment Anything Model)
    • YOLO family of models
    • DINO (Distillation with No Labels)
  • Experience with Gaussian Splatting
  • Experience working with LLMs, such as:
    • ChatGPT / OpenAI models
    • Claude
    • Gemini
    • Llama
  • Experience with image and video feature tracking and extraction
  • Familiarity with Model Context Protocol (MCP) usage or development
  • Basic experience with C++
  • Familiarity with geospatial data formats, GIS concepts, and/or ArcGIS
  • Experience or exposure to spec-driven development or AI-assisted coding
  • Master's degree in Computer Science, Software Engineering or a related STEM field

#LI-DR5
#LI-Onsite
Total Rewards
Esri's competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
A reasonable estimate of the base salary range is
$101,192-$167,336 USD
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here.
If you don't meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

What Esri employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969

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