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Overnight Remote Machine Learning Jobs in Fontana, CA

Overnight Remote Machine Learning information

What is an overnight remote machine learning job?

Overnight Remote Machine Learning jobs are positions where professionals work on machine learning tasks outside of traditional office hours, typically during the night, and do so from a remote location. These roles may involve building models, analyzing data, or maintaining machine learning systems while collaborating with teams in different time zones or providing 24/7 support. Overnight shifts can be critical for companies with global operations or those that require continuous system monitoring. Working remotely allows for flexibility and access to a wider talent pool. These positions often require strong programming and analytical skills, as well as the ability to work independently with minimal supervision.

What are the key skills and qualifications needed to thrive as an overnight remote machine learning engineer?

To thrive as an Overnight Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid background in statistics and algorithms, and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, experience with cloud platforms like AWS or GCP, and knowledge of version control systems are typically required. Excellent problem-solving abilities, self-motivation, and clear written communication are crucial soft skills for remote and overnight work schedules. These competencies ensure that you can efficiently develop, deploy, and monitor machine learning models independently while collaborating across time zones.

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

Overnight remote machine learning professionals often encounter challenges like coordinating with daytime teams across different time zones, maintaining effective communication, and managing alertness during non-traditional hours. To address these, it's helpful to establish clear communication protocols, use collaboration tools for asynchronous updates, and set a structured sleep and work routine to ensure productivity. Additionally, leveraging automated monitoring and robust documentation helps in managing handoffs and reducing errors during shift changes.

What is the difference between Overnight Remote Machine Learning vs Data Scientist?

AspectOvernight Remote Machine LearningData Scientist
CredentialsBachelor's or higher in CS, ML, or related fields; certifications like AWS, TensorFlowBachelor's or higher in CS, Statistics, or related fields; advanced degrees common
Work EnvironmentRemote, overnight shifts, focused on model deployment and data pipelinesOffice or remote, standard hours, focused on data analysis and model development
Industry UsageTech, finance, healthcare companies with 24/7 operationsResearch, tech, consulting firms, often with flexible hours

Overnight Remote Machine Learning roles typically focus on deploying models and maintaining data pipelines during overnight hours, often requiring specific certifications and remote work setups. Data Scientists usually work during regular hours, concentrating on data analysis, model development, and research. Both roles are vital in tech-driven industries but differ mainly in work hours, environment, and focus areas.

What job categories do people searching Overnight Remote Machine Learning jobs in Fontana, CA look for?

The top searched job categories for Overnight Remote Machine Learning jobs in Fontana, CA are:

What cities near Fontana, CA are hiring for Overnight Remote Machine Learning jobs?

Cities near Fontana, CA with the most Overnight Remote Machine Learning job openings:

Infographic showing various Overnight Remote Machine Learning job openings in Fontana, CA as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Principal Product Engineer - Imagery & Remote Sensing

Esri

Redlands, CA • On-site, Remote

$120K - $193K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Esri rating

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies


Job description

Overview
Esri's imagery and remote sensing capabilities have expanded significantly across products including ArcGIS Pro, ArcGIS Enterprise, and ArcGIS Online. We are seeking individuals with experience applying remote sensing data and ArcGIS to solve complex problems and generate insights in areas such as agriculture, earth science, climate monitoring, conservation, and environmental studies. Ideal candidates have worked with ArcGIS to process, manage, and analyze imagery at scale and are passionate about advancing remote sensing workflows through modern analytical techniques, including machine learning and geospatial AI.
In this role, you will apply your expertise in imagery and remote sensing, combined with a strong engineering background, to help our Software Products team design and deliver innovative solutions for geospatial analysis using data from satellites, aerial platforms, and UAS devices. You will work closely with development and product leads to build capabilities that support advanced image management, visualization, and analysis while driving innovation across multispectral, multidimensional, hyperspectral, and SAR workflows. This is an exciting opportunity to shape the future of remote sensing technology and expand how airborne, spaceborne, and terrestrial data are leveraged across a wide range of GIS applications and industries.
Responsibilities
  • Collaborate with software developers on software project teams to design, develop, and release product updates which innovate and advance ArcGIS remote sensing capabilities
  • Design, test, and validate recommended patterns and practices which communicate how users can best leverage ArcGIS remote sensing advancements
  • Work with other lead engineers to develop product update roadmaps and schedules based on understanding and prioritizing user issues, requests, and feedback
  • Act as a subject matter expert for multiple products and be available as a technical point of contact for internal and external knowledge sharing and education
  • Support technology demonstrations and presentations for industry events
  • Work across engineering teams to coordinate and align development planning and roadmaps for broad reaching projects like Geospatial AI
  • Help manage software development priorities and manage user expectations through active communication and coordination
  • Understand, test, and communicate deployment patterns and recommended configurations for highly scalable imagery and remote sensing systems based on ArcGIS
  • Research, prototype, and recommend new approaches for AI-enabled image analysis, raster analytics, and imagery workflows, including emerging foundation models and embeddings

Requirements
  • 8+ years of experience in remote sensing, image processing, or image analysis
  • Strong expertise with GIS concepts and extensive experience using ArcGIS platform technologies
  • Demonstrated ability to conduct applied research and rapidly prototype analytical workflows using Python
  • Excellent written and verbal communication skills, with the ability to clearly communicate technical concepts to diverse audiences
  • Bachelor's degree in computer science, Geography, Remote Sensing, Geophysics, Geomatics, or a related field

Recommended Qualifications
  • Master's degree in computer science, Geography, Remote Sensing, Geophysics, Geomatics, or a related field
  • Experience processing and analyzing remote sensing data using modern computer vision, AI, and machine learning techniques
  • Knowledge of managing and analyzing multispectral, hyperspectral, SAR, thermal, and other remote sensing data
  • Experience automating imagery workflows using ArcPy, the ArcGIS API for Python, or similar tools
  • Familiarity with cloud platforms such as Azure and AWS for managing and processing geospatial imagery
  • Understanding of imagery management best practices, industry standards (OGC, STAC, COG), and modern data storage strategies
  • Experience working on research, product, or software development teams focused on remote sensing and integrating ArcGIS imagery capabilities with enterprise systems

#LI-TA1
#LI-Onsite
Total Rewards
Esri's competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
A reasonable estimate of the base salary range is
$120,640-$193,752 USD
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here.
If you don't meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

What Esri employees say

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Benefits

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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