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Scientific Machine Learning Jobs in Menifee, CA (NOW HIRING)

Esri

GIS Solution Engineer - AEC

Redlands, CA · On-site

... 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 ...

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Scientific Machine Learning information

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$14

$33

$55

How much do scientific machine learning jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for scientific machine learning in Menifee, CA is $33.31, according to ZipRecruiter salary data. Most workers in this role earn between $20.34 and $42.45 per hour, depending on experience, location, and employer.

What is scientific machine learning?

Scientific machine learning (SciML) is an interdisciplinary field that combines principles from machine learning and scientific computing to solve complex scientific and engineering problems. It involves developing algorithms and models that can learn from data and physical laws, such as differential equations, to make predictions, optimize systems, or gain insights into phenomena. SciML is widely used in areas like physics, biology, climate science, and engineering, enabling researchers to accelerate simulations and make data-driven discoveries. The field often leverages both traditional numerical methods and modern machine learning techniques, making it a rapidly evolving area of research.

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

To thrive as a Scientific Machine Learning professional, you need a strong background in mathematics, statistics, programming (often Python), and domain-specific scientific knowledge, typically with a graduate degree in a STEM field. Proficiency in machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools (like NumPy, SciPy), and experience with high-performance computing are commonly required. Critical thinking, problem-solving, and collaborative communication are vital soft skills for designing experiments and interpreting complex data. These skills ensure robust, reproducible results and the ability to bridge scientific inquiry with advanced computational methods.

What are some common challenges faced by professionals in scientific machine learning, and how can they be addressed?

Professionals in Scientific Machine Learning often encounter challenges such as integrating domain-specific scientific knowledge with machine learning models, managing large and complex datasets, and ensuring that models are interpretable and physically consistent. Collaboration with domain experts and interdisciplinary teams is essential to bridge knowledge gaps and validate results. To address these challenges, it is helpful to invest time in understanding the underlying scientific principles, keep up-to-date with advancements in both machine learning and scientific fields, and utilize specialized tools and frameworks designed for scientific data.

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

AspectScientific Machine LearningData Scientist
Required credentialsAdvanced degrees in CS, ML, or related fields; knowledge of scientific computingDegree in CS, statistics, or related fields; strong analytical skills
Work environmentResearch labs, academia, industry R&D teamsBusiness analytics, tech companies, consulting firms
Industry usageResearch, scientific computing, engineering simulationsBusiness insights, predictive modeling, data analysis

Scientific Machine Learning focuses on integrating scientific knowledge with machine learning techniques for research and engineering applications. Data Scientists analyze data to extract insights and build predictive models for business or operational purposes. While both roles require strong technical skills, Scientific Machine Learning emphasizes scientific computing and domain-specific modeling, whereas Data Scientists focus on data analysis and visualization.

What job categories do people searching Scientific Machine Learning jobs in Menifee, CA look for?

The top searched job categories for Scientific Machine Learning jobs in Menifee, CA are:

What cities near Menifee, CA are hiring for Scientific Machine Learning jobs?

Cities near Menifee, CA with the most Scientific Machine Learning job openings:

Scientific Machine Learning jobs near you
Infographic showing various Scientific Machine Learning job openings in Menifee, CA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $69,275 per year, or $33.3 per hour.

Imagery Product Engineer II - Imagery and Remote Sensing

Esri

Redlands, CA

Full-time

Re-posted 25 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

Overview

Esri is the world leader in geographic information systems (GIS) and developer of ArcGIS, the leading mapping and analytics software used in 75 percent of Fortune 500 companies. The Imagery and Remote Sensing team is applying cutting-edge techniques to revolutionize Imagery visualization and Analysis. We are passionate about applying imagery science and artificial intelligence to solve some of the world's biggest challenges.

Our team develops tools, APIs, and AI models for Analysts and Data Scientists, enabling them to leverage the latest research in imagery science, remote sensing, and AI. Our product engineers provide a strong technical voice in the product development process and use the best tools available to build highly reliable, sustained, and evolutionary software.

As a Product Engineer, you will play a key role in ensuring the quality and usability of our imagery and remote sensing tools, models, and libraries. You will design and implement test plans, write test code, and validate software, SDKs, and AI models to help deliver robust, high-quality products to our customers. This will also include performing, documenting, and teaching a wide variety of technical tasks, developing best practices, creating tutorials and documentation, and gathering requirements. If you are passionate about imagery and remote sensing and communicate effectively via writing and presentations, this is the place to be!

Responsibilities

  • Develop and implement test plans for new features and bug fixes to maintain product quality
  • Review and analyze test results; report status on software quality and stability; test and certify software, SDK, and AI model quality
  • Work closely with account managers and software developers to understand customer requirements and help formulate appropriate Imagery and Remote Sensing solutions for various industry scenarios
  • Collaborate with software developers on software project teams to help build new software and plan for future releases
  • Help test new Imagery processing and analysis user experiences, workflows, and analytics using customer data
  • Help develop the future roadmap for Imagery and Remote Sensing support in all relevant ArcGIS products
  • Support technology demonstrations for industry events  
  • Act as a technical point of contact for industry business partners and integrators to ensure Esri interoperability

Requirements

  • 2+ years of industry experience in a software development or QA environment, preferably product-based or geospatial consulting companies
  • Strong understanding of image analysis and remote sensing techniques
  • Hands-on experience in QA processes, implementing test plans, developing or managing test automation, and product certification
  • Familiarity with GIS concepts, spatial data, and geospatial workflows
  • Basic understanding of machine learning, deep learning, and AI Prompt Engineering
  • Effective project management, time management, and organizational skills
  • Technical writing skills and experience authoring samples, blog posts, and product documentation
  • Bachelor's degree in GIS, geography, engineering, computer science, math, or related fields

Recommended Qualifications

  • Master's degree in GIS, geography, engineering, computer science, math, or related fields
  • Strong knowledge of software QA methodologies, tools, and processes
  • Experience working in an Agile/Scrum development process
  • Hands-on experience with the ArcGIS suite of products or open-source GIS software
  • Experience with remote sensing, satellite imagery, and multispectral image analysis
  • Experience designing modern desktop user experiences

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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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