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Artificial Intelligence Machine Learning Engineer Jobs in Redlands, CA

... 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 ...

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

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 ...

... machine learning, computer hardware, and the business of software, to enhance your contributions to ... intelligence, and mapping. Founded in 1969, the company is headquartered in Redlands, USA, with a ...

... machine learning, computer hardware, and the business of software, to enhance your contributions to ... intelligence, and mapping. Founded in 1969, the company is headquartered in Redlands, USA, with a ...

Senior Director, AI Innovation

Corona, CA · On-site

$270K - $310K/yr

... engineering, data science, MLOps, automation, SWAT teams). Implement workforce planning and ... Science, Artificial Intelligence (AI), Machine Learning (ML), Data Science, or related fields.

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Artificial Intelligence Machine Learning Engineer information

See Redlands, CA salary details

$31.7K

$129.6K

$194.7K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for artificial intelligence machine learning engineer in Redlands, CA is $129,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,100.00 and $155,900.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

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

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

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

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

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

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What cities near Redlands, CA are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Redlands, CA with the most Artificial Intelligence Machine Learning Engineer job openings:

Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Redlands, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $129,553 per year, or $62.3 per hour.

GIS Solution Engineer - AEC

Esri

Redlands, CA • On-site

Full-time

Re-posted 6 days ago


Esri rating

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

Job Summary:
Esri is a company that specializes in GIS technology, and they are seeking a GIS Solution Engineer to join their team. This role involves advising customers on complex business challenges, demonstrating the value of GIS, and crafting innovative solutions to meet client needs.
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.
Qualifications:
Required:
• 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
Preferred:
• 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
Company:
Esri is a software company that devolops geographic information system software, location intelligence, and mapping. Founded in 1969, the company is headquartered in Redlands, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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