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Machine Learning Engineer Python Jobs in Victorville, CA

Esri

GIS Solution Engineer - AEC

Redlands, CA · On-site

$79K - $130K/yr

... 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 ...

Esri

Product Engineer I - Geodatabase

Redlands, CA · On-site

Experience using an application development language, such as C#, Java or Python * Strong ... A self-motivated team player with an interest in continuous learning and building software products

Esri

Sr. Product Engineer - Cloud Automation

Redlands, CA · On-site

$93K - $159K/yr

Working knowledge of Python for automation and tooling * Understanding of ArcGIS Enterprise and ... We are committed to the continuation of learning, growing, and changing our workplace so every ...

San Manuel Casino

Sr. Data Engineer

Highland, CA · On-site

$113K - $136K/yr

... learning initiatives by providing technical guidance, knowledge sharing, and mentorship to team ... Advanced proficiency in Python and data engineering methodologies. * Advanced knowledge with ...

Esri

Sr. Product Engineer - Geodatabase

Redlands, CA

Experience using an application development language, such as C#, Java, C++, or Python * Strong ... A self-motivated team player with an interest in continuous learning and the ability to guide staff ...

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Showing results 21-40

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 Aug 6, 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?

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

Software Developer II - Conflation, ArcGIS Pro

Esri

Redlands, CA • On-site

Other

Re-posted 20 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

If you have great programming skills, dream about using your talent and experiences in a global influencer organization, and are passionate about developing tools and workflows that solve complex problems, join us! Our team works on feature matching, change detection, attributes transfer, spatial adjustments, and more. This is a great opportunity to work with a dedicated team as we support worldwide customers who are maintaining and updating their geographic databases from multiple sources for accurate spatial analysis and multi-scale quality mapping.

Come join the Conflation project team in Spatial Analysis and Geoprocessing to make a difference in the GIS community! 

Responsibilities

  • Assist with speeding up the research, development, and enhancements of conflation tools and workflows for ArcGIS Pro with state-of-the-art intelligence and techniques
  • Build conflation tools using new or enhanced algorithms that allow users to reconcile differences and apply changes among multiple data sources efficiently
  • Build and ship quality software by working effectively in a highly interactive and coordinated team environment
  • Use pattern recognition, similarity analysis, statistical measures, and other computational geometry techniques in conflation processes to produce reliable results
  • Participate in research and development of new ideas and approaches that match or exceed the existing quality
  • Research and implement strategies and processes to ensure scalability for large data volume
  • Explore the use of progressive or optimization approaches to improve conflation accuracy
  • Explore on hybrid methods and tools for conflation with additional data sources, such as imagery, lidar, GPS
  • Ultimately help build and deliver an integrated conflation management system
  • Follow design patterns, development methodologies, and deployment techniques using C++
  • Find, analyze, and fix bugs and performance problems whenever they occur in the software
  • Contribute to and run tests to ensure high quality development free of regressions

Requirements

  • 2+ years of experience in C/C++/C# or related software development languages
  • Firm understanding of object-oriented design, data structures, and design patterns
  • Experience with computational geometry and algorithms
  • Ability to clearly analyze and describe problems, and propose solutions
  • The ability and knowledge to solve complex spatial problems
  • Knowledge of progressive and optimization approaches
  • Knowledge of asynchronous programming patterns and parallel processing methods
  • Friendly, respectful, and open-minded attitude and ability to work closely with a team of software developers, product engineers, and others to build quality software and meet the demands
  • Bachelor's degree in Computer Science, Computational Science, Mathematics, or related field

Recommended Qualifications

  • Master's or PhD degree in Computer Science, Computational Science, Mathematics, or related field
  • Familiarity with Esri products or similar GIS software
  • Experience with the development and release of commercial software products
  • Experience in data quality, data integration, and spatial analysis
  • Knowledge of cartography and multi-scale mapping
  • Knowledge about machine learning or AI
  • Knowledge of scripting languages like Python
  • Experience writing testable (or test-driven) software

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What Esri employees say

Pay

Benefits

Hours and flexibility

Workplace

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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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