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Remote Machine Learning Jobs in Winchester, CA (NOW HIRING)

REMOTE - US Residents Only  We are looking for a thorough and analytical Data Analyst to ... Prospects for lifelong learning and professional development. Reasonably affordable benefits and ...

Remote Machine Learning information

See Winchester, CA salary details

$27K

$45K

$93K

How much do remote machine learning jobs pay per year?

As of Aug 31, 2026, the average yearly pay for remote machine learning in Winchester, CA is $45,017.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,400.00 and $48,600.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

What are popular job titles related to Remote Machine Learning jobs in Winchester, CA?

For Remote Machine Learning jobs in Winchester, CA, the most frequently searched job titles are:

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

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

Infographic showing various Remote Machine Learning job openings in Winchester, CA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $45,017 per year, or $21.6 per hour.

Principal Product Engineer - Imagery & Remote Sensing

Redlands, CA • On-site, Remote


Esri
Scientific Research and Development Services • 1 - 5K employees

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

7th of 247 rated software companies

Great coworkers

People enjoy working here

Good employer


$120K - $193K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


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.

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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


What Esri employees say

Pay

Benefits

Hours and flexibility

Workplace

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