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

DataAnnotation

SDLC Engineer - AI Trainer

Riverside, CA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

QA Engineer - AI Trainer

Riverside, CA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

SDLC Engineer - AI Trainer

Rialto, CA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Hesperia, CA

Remote Machine Learning information

See Hesperia, CA salary details

$25.5K

$42.6K

$88.1K

How much do remote machine learning jobs pay per year?

As of Jul 7, 2026, the average yearly pay for remote machine learning in Hesperia, CA is $42,634.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,100.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

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.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Hesperia, CA? The most popular types of Machine Learning jobs in Hesperia, CA are:
What job categories do people searching Remote Machine Learning jobs in Hesperia, CA look for? The top searched job categories for Remote Machine Learning jobs in Hesperia, CA are:
What cities near Hesperia, CA are hiring for Remote Machine Learning jobs? Cities near Hesperia, CA with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Hesperia, CA as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $42,634 per year, or $20.5 per hour.
Imagery Product Engineer II - Imagery and Remote Sensing

Imagery Product Engineer II - Imagery and Remote Sensing

Esri

Redlands, CA • On-site, Remote

$79K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Esri rating

9.5

Company rating: 9.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

6th of 202 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

#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
$79,664-$133,120 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

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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