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

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

This is a remote position. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build, train, and deploy production-grade machine learning models, AI solutions and data products * Collaborate with ...

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ...

A specialization in machine-learning, artificial intelligence, cognitive science or data science is ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Java Open Source Contributor

Los Angeles, CA · Remote

$55 - $71/hr

Remote Scope of Work: * Contribute production-quality code, reviews, and documentation to open ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

Showing results 21-40

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.

Systems Principal Automation Engineer

Login Consulting Services, Inc.

Monrovia, CA • On-site, Remote

Full-time

Re-posted 14 days ago


Job description

A leading manufacturer of equipment and systems for resistance welding, laser welding, laser marking, laser cutting, laser micromachining, and hot bar bonding, located in Monrovia, CA, is seeking a Systems Principal Automation Engineer for a full time role.
SUMMARY:
The Systems Operations department delivers integrated, intelligent systems using our 3D, Define-Design-Deliver, philosophy. The Systems Principal Automation Engineer (Principal Engineer) serves as the senior-most technical authority for software architecture, advanced controls, artificial intelligence and machine-learning systems, SCADA/HMI platforms, machine vision, and high reliability industrial automation in Systems Operations.
This position operates with minimal guidance from leadership and establishes technical direction across multidisciplinary engineering teams

Task assignments, project schedules, and backlog priorities are directed through the Engineering Services Manager or delegated Systems Operations technical leadership (Proposal Manager, Engineering Manager, and Automation Lead). The Principal Engineer is expected to self‑manage execution of these tasks with minimal oversight, driving technical quality, architecture decisions, and integration outcomes across Systems Operations.
RESPONSIBILITIES:
Engineering:
The Principal Engineer will be assigned programming needs for production backlog and development projects.
Architect and develop advanced software systems supporting automation, motion control, machine
vision, SCADA, safety systems, and distributed industrial operations.
Architect SCADA/HMI systems for live visualization, diagnostics, alarms, and remote operations.
Develop industrial data acquisition, historians, and plant-wide data networking (FactoryTalk, IIoT,
MQTT)
Lead machine learning and AI development initiatives using PyTorch, TensorFlow, OpenCV, and/or HALCON.
Develop classical and deep learning machines and vision applications using OpenCV or HALCON with custom neural networks or pipelines.
Oversee dataset design, labeling workflows, training pipelines, and model validation/testing.
Integrate edge AI hardware and accelerators or embedded inference engines.
Design and validate real-time controls integrations across PLCs, CNCs, motion controllers, and industrial network systems.
Develop industrial communication handshakes in Modbus TCP, OPC-UA, TCP/IP, Serial, or other fieldbus protocols.
Ensure compliance with UL, CE, and NFPA standards governing safety and controls engineering.
Lead development of machine-learning models for inspection, anomaly detection, automation
optimization, and predictive intelligence within Systems Operations.
Design operator interfaces using WinForms, WPF, .NET, and industrial panel platforms.
Author and enforce software architecture standards, reusable libraries, modular frameworks, and
support strategies.
Utilize Azure DevOps for task assignments, backlog execution, tracking, code review, and revision
control across projects.
Other projects and tasks assigned by the company from time to time.
Project Engineering:
Work in and foster a team environment with other engineers, production, QA, test, materials
control, contract management, and sales personnel.
Support and develop new software under direction of management.
Prepare interface and functionality documentation for software modules.
Develop and report on project plans and schedules for software development work.
Prepare detailed engineering release documents and compliance documents.
Software and Controls Development:
Analyze and recommend improvements to our present software development and design control
methodology.
Mentor software and controls engineers on architecture, design patterns, and quality standards.
Guide the team in adoption of emerging automation and AI technologies.
Supervisory Responsibilities: This job has no supervisory responsibilities.
POSITION REQUIREMENTS:
Expert-level C# and .NET development experience.
Expert-level understanding of Rockwell Automation software, specifically Studio 5000 Logix
Designer, RSLogix 500 and 5000.
Deep expertise in software architecture, distributed systems, machine learning, computer vision, SCADA/HMI platforms, and real‑time industrial automation environments
o Experience with FactoryTalk View or database integration to move data between the PLC
and .NET layers.
Proven ability to integrate using industrial communication protocols.
Ability to interpret electrical, pneumatic, and mechanical drawings to support software and controls
design.
Exceptional communication skills: this role will be communicating daily with internal and external
customers across multiple disciplines.
Routine adjustment of working hours to support remote login of our worldwide customer base.
Ability to travel occasionally.
EDUCATION & EXPERIENCE:
Four-year degree in STEM degree or related discipline
o Master"s or PhD preferred.
10+ years in complex software architecture, automation systems, and controls engineering.
5+ years" experience in machine vision and AI/ML development.
Project management training or certification (e.g., PMI, Agile) preferred.
OTHER QUALIFICATIONS:
Attention to detail and being flexible to manage multiple tasks independently.
Excellent verbal and written communication skills.
Exceptional organization and time management skills.
Proven ability to meet deadlines while performing task accurately.
Initiative-taking with a keen sense of ownership in all areas of responsibility. Punctual and dependable attendance.
* Understands company's basic philosophy and participates fully in conducting its mission.
Education:Employment Type: FULL_TIME