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Machine Learning Engineer Jobs in Victorville, CA

Esri

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site +1

$123K - $162K/yr

Develop Python-based machine learning components that enhance how users assess, understand, and ... Build scalable ML pipelines and data engineering processes to improve overall system architecture

Esri

C/C++ Software Development Engineer II

Redlands, CA · On-site

$101K - $167K/yr

Work alongside senior engineers to design and implement innovative features * Stay informed about ... machine learning, computer hardware, and the business of software, to enhance your contributions to ...

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site +1

$54.75 - $72.50/hr

... Engineer to help advance the next generation of geospatial data quality capabilities across the ... Develop Python-based machine learning components that enhance how users assess, understand, and ...

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site

$123K - $202K/yr

... Engineer to help advance the next generation of geospatial data quality capabilities across the ... Develop Python-based machine learning components that enhance how users assess, understand, and ...

Esri

GIS Solution Engineer - AEC

Redlands, CA

Experience incorporating real-time information streams with existing GIS data and IT infrastructure * Basic understanding of artificial intelligence/machine learning concepts * Programming and ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Victorville, CA

Machine Learning Engineer information

See Victorville, CA salary details

$33.2K

$135.7K

$203.9K

How much do machine learning engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for machine learning engineer in Victorville, CA is $135,720.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $163,400.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Victorville, CA? The most popular types of Machine Learning Engineer jobs in Victorville, CA are:
What are popular job titles related to Machine Learning Engineer jobs in Victorville, CA? For Machine Learning Engineer jobs in Victorville, CA, the most frequently searched job titles are:
What cities near Victorville, CA are hiring for Machine Learning Engineer jobs? Cities near Victorville, CA with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Victorville, CA as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $135,720 per year, or $65.2 per hour.

Sr. Software Engineer - Generative AI & Assistants, ArcGIS Pro

Esri

Redlands, CA

$123K - $162K/yr

Other

Re-posted 29 days 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

ArcGIS Pro is a powerful geographic information system (GIS) software that is used to analyze, visualize, and share spatial data, helping to solve real-world problems. We're on a mission to improve the accessibility of these tools through AI assistant functionality. As a team committed to innovation, you'll have a unique opportunity to bring your expertise in AI and machine learning to the world's leading GIS software.

Through curiosity and investigative research, you'll understand future capabilities and be able to fine-tune AI models to ensure quality functionality. You'll design, build, and test AI Copilot experiences to assist our users in ways that have never been achieved before, impacting industries in government, public safety, conservation, imagery and more.

In this role, you'll collaborate with our cross-functional global team of software engineers, product engineers, designers, product managers, and release engineers committed to delivering a host of cutting-edge capabilities. Bring your passion for AI and natural language processing and apply today!

Responsibilities

  • Contribute to the design and implementation of an AI Copilot for ArcGIS Pro
  • Design, develop, and implement AI models, prompts, algorithms and agents in C# or Python, particularly focusing on natural language generation and understanding using LLMs and embedding models
  • Write scalable, robust, testable, efficient, and easily maintainable code in C#, Python, or C++
  • Build software that follows the latest industry-standard design patterns, development methodologies, and deployment models
  • Collaborate with cross-functional teams to understand user needs and devise possible solutions
  • Translate software requirements into stable, working, high-performance software
  • Stay up to date with the latest advancements in AI and machine learning technologies like LLMs, multimodal models, text/embedding models, frameworks like LangChain and Semantic Kernel

Requirements

  • 5+ years of demonstrated experience in developing robust code and exceptional problem-solving skills using the C# programming language and the .NET platform
  • Experience with large language model tools like Semantic Kernel or LangChain
  • Experience with machine learning frameworks like TensorFlow, PyTorch, or similar
  • Familiarity with AI and Machine Learning concepts
  • Strong knowledge of data structures and algorithms
  • Knowledge of REST APIs and HTTP-based web services
  • Strong knowledge of GIT
  • Excellent communication skills, with the ability to explain complex concepts to non-technical team members
  • Demonstrated ability to self-direct, with an eagerness to learn and grow
  • Bachelor's degree in computer science, GIS, Mathematics, or related field

Recommended Qualifications

  • Experience with natural language processing and generative models
  • Good knowledge of Python
  • Experience in C++
  • Experience with cloud services like AWS, Google Cloud, or Azure
  • Master's degree in computer science, GIS, Mathematics, or related field

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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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