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Machine Learning Engineer Python 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

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

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

GIS Solution Engineer - AEC

Redlands, CA

... 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 ...

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

Machine Learning Engineer Python information

See Victorville, CA salary details

$24.2K

$147.5K

$213.4K

How much do machine learning engineer python jobs pay per year?

As of Jun 25, 2026, the average yearly pay for machine learning engineer python in Victorville, CA is $147,526.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $173,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Python, and why are they important?

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

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

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What is a Machine Learning Engineer Python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.
What are popular job titles related to Machine Learning Engineer Python jobs in Victorville, CA? For Machine Learning Engineer Python jobs in Victorville, CA, the most frequently searched job titles are:
What cities near Victorville, CA are hiring for Machine Learning Engineer Python jobs? Cities near Victorville, CA with the most Machine Learning Engineer Python job openings:
Machine Learning Engineer Python jobs near you
Sr. Software Engineer - Generative AI & Assistants, ArcGIS Pro

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

Esri

Redlands, CA • On-site

$123K - $162K/yr

Other

Posted 17 days ago

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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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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