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

YO AI Labs

SolidWorks Expert - Remote

Los Angeles, CA · Remote

$40 - $130/hr

Translate engineering requirements into structured CAD data suitable for AI learning and validation ... CNC machining. * Casting and forging. * Assembly modeling. * CAD editing and feature tree ...

Recruit Monitor

Senior Data Analyst / Remote

Los Angeles, CA · Remote

$92K - $116K/yr

Develop statistical and machine learning models to answer business questions and make predictions using R, Python, and other programming languages * Develop technical as well as process-based ...

Magnite

Senior Engineer

Los Angeles, CA · On-site +1

$135K - $175K/yr

Remote At Magnite, we cultivate an environment of continuous growth and collaboration. Our work ... Through a combination of near-real-time data pipelines, machine learning techniques, and real-time ...

SpaceX

Software Engineer (Starship)

Hawthorne, CA · On-site +1

$145K - $175K/yr

Experience with data analysis and machine learning libraries such as Pandas, NumPy, and PyTorch ... This position is based in Hawthorne, CA and requires being onsite - remote work not considered ...

Netflix

Software Engineer (L4) - CKG

Los Angeles, CA · On-site +1

You will collaborate closely with other Data Engineers, Machine Learning Engineers, Scientists, and business analysts to build scalable access patterns for them.Who you are: * You would consider ...

59 Pines

Remote Marketing Coordinator

Laguna Beach, CA · Remote

$80K/yr

About The Role We need someone who can own the day-to-day of our marketing machine -- social ... learning-curve hours. About Us We're a credible, funded, remote-first startup backed by a growing ...

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Showing results 41-60

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

Remote Machine Learning information

See Westminster, CA salary details

$26.3K

$43.9K

$90.7K

How much do remote machine learning jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote machine learning in Westminster, CA is $43,898.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $47,400.00 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.

More about Remote Machine Learning jobs

What are the most commonly searched types of Machine Learning jobs in Westminster, CA?

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

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

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

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

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

Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Westminster, CA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $43,898 per year, or $21.1 per hour.

SolidWorks Expert - Remote

YO AI Labs

Los Angeles, CA • Remote

$40 - $130/hr

Full-time

Posted 7 days ago

Job description

Job Title: SolidWorks Specialist

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced SolidWorks Specialists to contribute their expertise to an innovative project at the intersection of mechanical engineering and emerging AI technology. In this role, you will help improve next-generation AI systems by creating, reviewing, and refining mechanical CAD models and technical documentation. No prior AI experience is required—your engineering and CAD expertise are what matter most.

Key Responsibilities

  • Create fully parametric 3D CAD models of mechanical parts and assemblies using SolidWorks based on detailed design requirements.

  • Edit and update existing parametric CAD models while maintaining robust feature trees, design intent, and model integrity.

  • Review and audit CAD models for dimensional accuracy, tolerance application, manufacturability, and overall design quality.

  • Apply Design for Manufacturability (DFM) principles across manufacturing processes including injection molding, sheet metal fabrication, CNC machining, casting, and forging.

  • Develop and maintain clear engineering documentation to support design revisions and AI model training.

  • Translate engineering requirements into structured CAD data suitable for AI learning and validation.

  • Collaborate remotely with cross-functional teams, providing clear written reports, technical documentation, and verbal updates.

Required Skills

  • SolidWorks.

  • Parametric CAD modeling.

  • GD&T (ASME Y14.5).

  • Design for Manufacturability (DFM).

  • Mechanical design.

  • Injection molding.

  • Sheet metal design.

  • CNC machining.

  • Casting and forging.

  • Assembly modeling.

  • CAD editing and feature tree management.

  • Design documentation.

  • Reverse engineering (Scan-to-CAD).

  • Manufacturability analysis.

  • Python, iLogic, and VBA scripting.

  • Tolerance application.

  • Project documentation.

  • Strong written and verbal communication.

  • Excellent problem-solving skills and attention to detail.

Preferred Qualifications

  • 4+ years of hands-on parametric CAD experience for editing tasks and 10+ years for creating complex assemblies.

  • Expert proficiency in SolidWorks, with experience in Autodesk Inventor, Fusion 360, or FreeCAD considered an advantage.

  • Practical experience applying GD&T in accordance with ASME Y14.5 or equivalent standards.

  • Proven experience supporting multiple manufacturing processes, including injection molding, sheet metal fabrication, CNC machining, casting, and forging.

  • Current experience in mechanical or industrial CAD modeling.

  • Reverse engineering expertise, including Scan-to-CAD and point cloud conversion workflows.

  • Experience with assembly-level design and CAD workflow automation using Python, iLogic, VBA, or similar scripting tools.

  • Excellent written and verbal communication skills with strong technical documentation abilities.

Why Join Us?

  • Fully remote contractor opportunity.

  • Flexible work schedule.

  • Opportunity to contribute to cutting-edge AI technology using your mechanical engineering expertise.

  • Collaborate with multidisciplinary engineering and AI teams on innovative technical projects.

  • No prior AI experience required—training and project guidance will be provided.