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Entry Level Computer Vision Deep Learning Engineer Jobs in Lucerne Valley, CA

... learning, computer hardware, and the business of software, to enhance your contributions to the ... dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) ...

... learning and building software products * Bachelor's degree in computer science, engineering ... dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) ...

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Entry Level Computer Vision Deep Learning Engineer information

See Lucerne Valley, CA salary details

$49.6K

$124.4K

$140.8K

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

As of Aug 7, 2026, the average yearly pay for entry level computer vision deep learning engineer in Lucerne Valley, CA is $124,387.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,100.00 and $134,600.00 per year, depending on experience, location, and employer.

What types of projects do entry level computer vision deep learning engineers typically work on, and how is their work structured within a team?

As an entry-level Computer Vision Deep Learning Engineer, you can expect to contribute to projects like object detection, image classification, and model optimization for real-world applications. Your tasks may include data preprocessing, training and evaluating neural networks, and writing code to integrate models into products or pipelines. You'll often collaborate closely with senior engineers, data scientists, and product managers, typically working in agile teams where regular code reviews and knowledge sharing are common. This collaborative environment not only helps you learn best practices but also provides opportunities to gradually take on more responsibility as your skills develop.

What does an entry level computer vision deep learning engineer do?

An Entry Level Computer Vision Deep Learning Engineer works on developing and implementing algorithms that allow computers to interpret and understand visual information from the world, such as images or videos. They typically use deep learning techniques, especially neural networks, to build models for tasks like object detection, facial recognition, and image classification. Their responsibilities may include data preprocessing, model training and evaluation, writing code (often in Python), and collaborating with senior engineers on real-world projects. This role is ideal for those who have a strong foundation in machine learning, programming, and mathematics, but are just starting their careers in the field.

What are the key skills and qualifications needed to thrive as an entry level computer vision deep learning engineer, and why are they important?

To thrive as an Entry Level Computer Vision Deep Learning Engineer, you need a solid understanding of computer vision fundamentals, deep learning concepts, and programming skills in languages like Python, along with a relevant degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with OpenCV, and knowledge of version control systems like Git are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate within teams and tackle complex challenges. These skills and qualities are crucial for developing, deploying, and optimizing computer vision solutions that meet real-world business needs.
What cities near Lucerne Valley, CA are hiring for Entry Level Computer Vision Deep Learning Engineer jobs? Cities near Lucerne Valley, CA with the most Entry Level Computer Vision Deep Learning Engineer job openings:
Infographic showing various Entry Level Computer Vision Deep Learning Engineer job openings in Lucerne Valley, CA as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $124,387 per year, or $59.8 per hour.

Software Development Engineer II - AI Software Components

Esri

Redlands, CA

Other

Re-posted 6 hours ago


Esri rating

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

8th of 242 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

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What Esri employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


ESRI logo

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