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Remote Machine Learning Jobs in Santa Ana, CA (NOW HIRING)

Remote Supervision Coordinator

Los Angeles, CA ยท On-site +1

$55K - $64K/yr

We are solving real-world problems leveraging robotics, machine learning and computer vision, among ... JOB OVERVIEW The Remote Supervision Coordinator monitors and supports Serve's autonomous delivery ...

We are creating next-gen wearables using proprietary MetalGel sensor technology, capturing and feeding movement data to our machine learning-enhanced algorithms and SDKs, which connect to any modern ...

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Developing and applying machine learning models and integrating AI models using Python, R, SQL, and ...

Sr. Engineer II - Software Design

Irvine, CA ยท Remote

$130K - $172K/yr

... remote diagnostics, and telematics functionalities. * Write efficient and optimized code in ... Develop and implement machine learning algorithms to enhance AI capabilities. * Research and ...

Showing results 41-60

Remote Machine Learning information

See Santa Ana, CA salary details

$26.5K

$44.3K

$91.6K

How much do remote machine learning jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote machine learning in Santa Ana, CA is $44,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,800.00 and $47,900.00 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 the most commonly searched types of Machine Learning jobs in Santa Ana, CA?

The most popular types of Machine Learning jobs in Santa Ana, CA are:

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

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

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

The top searched job categories for Remote Machine Learning jobs in Santa Ana, CA are:

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

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

Infographic showing various Remote Machine Learning job openings in Santa Ana, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $44,312 per year, or $21.3 per hour.

Software Engineer - Remote / Telecommute

CYNET SYSTEMS

Aliso Viejo, CA โ€ข Remote

$35 - $40/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 23 days ago


Job description

Job Overview:

Pay Range: $35.00hr - $40.00hr

Requirement/Must Have:

  • Strong Python programming skills.
  • Advanced SQL development and query optimization experience.
  • Hands-on experience with Snowflake, including advanced query development, performance tuning, and data optimization.
  • Strong experience with PySpark and scheduled data processing services.
  • Experience with Git version control and branching strategies.
  • Expertise in REST API debugging and troubleshooting.
  • Hands-on experience with Kubernetes troubleshooting.
  • Experience monitoring and troubleshooting RabbitMQ.
  • Hands-on experience supporting or developing Machine Learning models.
  • Experience working with LLM-based applications such as OpenAI, Azure OpenAI, Anthropic, or Google Gemini.
  • Knowledge of CI/CD pipelines and deployment automation.

Responsibilities:

  • Support production applications in a fast-paced enterprise environment.
  • Perform software engineering, troubleshooting, and operational excellence tasks.
  • Provide technical leadership within the team.
  • Work closely with cross-functional teams.

Skills:

  • Software Engineer.
  • Python.
  • SQL.
  • Snowflake.
  • PySpark.
  • Git.
  • REST API.
  • Kubernetes.
  • RabbitMQ.
  • Machine Learning.
  • LLM.
  • CI/CD.

Qualification And Education:

  • Overall IT experience with a focus on software development and production support.

Benefits
 
Our Benefits Include:
  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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