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Machine Learning Engineer Jobs in Victorville, CA

Esri

GIS Solution Engineer - AEC

Redlands, CA · On-site

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

Esri

GIS Solution Engineer - AEC

Redlands, CA · On-site

$79K - $130K/yr

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

General Atomics

Engineer I

Adelanto, CA · On-site

$62K - $105K/yr

Engineering tasks involve the exercise of independent judgment and discretion about matters of ... Experience with various machining methods, manufacturing processes, and CAD modeling

PRIDE Industries

Certified Engineer

San Bernardino, CA

$55.63/hr

... machines, air conditioning units, fans, siphons, also automatic and power-oiling pumps, and engines. Employees in this job class shall comply with all federal, state and PRIDE's safety policies when ...

Esri

Software Development Engineer

Redlands, CA · On-site

You'll work alongside engineers and mentors in a collaborative, cross-functional environment that values learning, innovation and purpose. From building intuitive AI web interfaces to writing Python ...

Esri

Software Development Engineer

Redlands, CA · On-site

You'll work alongside engineers and mentors in a collaborative, cross-functional environment that values learning, innovation and purpose. From building intuitive AI web interfaces to writing Python ...

Esri

Software Development Engineer

Redlands, CA · On-site

You'll work alongside engineers and mentors in a collaborative, cross-functional environment that values learning, innovation and purpose. From building intuitive AI web interfaces to writing Python ...

WeCare Pharmacy

Lead Developer / CTO

San Bernardino, CA · On-site

... Machine Learning, User Experiences or other allied advanced technology fields. Advanced IT Knowledge, Critical Thinking, Interpersonal Skills, Motivator, Technological Analysis, Website Development ...

WeCare Pharmacy

Lead Developer / CTO

San Bernardino, CA · On-site

... Machine Learning, User Experiences or other allied advanced technology fields. Advanced IT Knowledge, Critical Thinking, Interpersonal Skills, Motivator, Technological Analysis, Website Development ...

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Showing results 21-40

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 17, 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 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 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 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 job categories do people searching Machine Learning Engineer jobs in Victorville, CA look for?

The top searched job categories for Machine Learning Engineer jobs in Victorville, CA 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 1% As Needed, 73% Full Time, 24% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $135,720 per year, or $65.2 per hour.

GIS Solution Engineer - AEC

Esri

Redlands, CA • On-site

Full-time

Re-posted 18 days ago

Esri rating

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

Overview

As a GIS subject matter expert, you're a natural at identifying the right analysis tools for the problem at hand. Not only do you create innovative solutions, you talk about solutions in ways that get others excited about the power of GIS technology. Join an account team and advise customers on their most complex business challenges. Leverage your problem-solving skills to demonstrate the value of GIS and how it finds unique patterns, trends, and understanding.

At Esri, we are committed to our customers and their success. It is a place for you to do your best work and partner with our customers amid a supportive culture that encourages creativity, collaboration, and passion.

Responsibilities

  • Build relationships. Present, demonstrate, and support selling Esri software and solutions as part of the account team. Support your team as you help plan and execute sales strategies.
  • Be an expert. Become a subject matter expert of the AEC industry well as a technical expert of ArcGIS. Speak confidently with customers about Esri technologies and thoroughly communicate the Esri message. Be a visionary for your customers anticipating their needs and the technology trends that may impact them.
  • Solve problems. Proactively craft and propose solutions that clarify how GIS brings business value to our customers by addressing the critical challenges they face. Define and deliver strategies to customers that align Esri technology with their business.
  • Tell our story. Present technical demonstrations of proposed solutions to customers. Successfully design presentations for technical and non-technical customers. Provide best practices related to the use, deployment, and administration of Esri technology. Present at conferences and trade shows.

Requirements

  • 2+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
  • 1+ years of experience working with or in the AEC industry
  • Understanding of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, virtualization, cloud computing)
  • Experience in technical consulting and conceptual solution design as well as an understanding of sales and business development processes
  • Experience with geodatabases and underlying DBMS technology
  • Knowledge of cloud computing concepts and environments (Microsoft Azure or AWS)
  • Remarkable presentation, interpersonal, and listening skills
  • Ability to travel domestically or internationally 25-50%
  • Bachelor's degree in geography, computer science, or a related field
  • Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S

Recommended Qualifications

  • Ability to troubleshoot client issues related to Esri application deployment and system architecture
  • Experience integrating software solutions with other business systems including data warehousing, BI, CRM, ERP, and analytics platforms
  • Experience incorporating real-time information streams with existing GIS data and IT infrastructure
  • Basic understanding of artificial intelligence/machine learning concepts
  • Programming and scripting experience with languages such as Python and JavaScript
  • Master's degree in geography, computer science, or a related field
  • Experience with Microsoft Azure or AWS cloud platforms, or equivalent
  • Experience with Autodesk software
  • Strong understanding of 3D geospatial problems
  • Working knowledge of the AEC and commercial industries at the business and strategy level

Questions about our interview process? We have answers.

#LI-JP2

#LI-ONSITE

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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