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Machine Learning Part Time Jobs in California (NOW HIRING)

Outpatient, Inc.

Digital Marketing Coordinator

Danville, CA · On-site

$52K - $68K/yr

... and machine learning (ML) to connect, simplify and improve the logistics of health process ... is a part-time role with many options to expand. We have an East Bay office, but also support ...

Outpatient, Inc

Digital Marketing Coordinator

Diablo, CA · On-site

$53K - $69K/yr

... and machine learning (ML) to connect, simplify and improve the logistics of health process ... is a part-time role with many options to expand. We have an East Bay office, but also support ...

Provincial Chico

Dishwasher - Part time

Chico, CA · On-site

$13.25 - $17/hr

We continually aspire and invest in learning and development opportunities that support our team ... Operates dish-washing machine to properly wash and sanitize all dishes, silverware, glasses ...

Integral Senior Living

Dishwasher (P/T)

Orangevale, CA · On-site

$17 - $18.86/hr

We continually aspire and invest in learning and development opportunities that support our team ... Operates dish-washing machine to properly wash and sanitize all dishes, silverware, glasses ...

Blossom Vale Senior Living

Dishwasher (P/T)

Orangevale, CA

$13 - $16.50/hr

We continually aspire and invest in learning and development opportunities that support our team ... Operates dish-washing machine to properly wash and sanitize all dishes, silverware, glasses ...

Provincial Chico

Dishwasher - Part time

Chico, CA

$17 - $18.50/hr

We continually aspire and invest in learning and development opportunities that support our team ... Operates dish-washing machine to properly wash and sanitize all dishes, silverware, glasses ...

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Showing results 41-60

All JobsMachine Learning JobsMachine Learning Part Time JobsMachine Learning Part Time Jobs in California

Machine Learning Part Time information

See California salary details

$25.2K

$42K

$86.8K

How much do machine learning part time jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning part time in California is $42,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $45,400.00 per year, depending on experience, location, and employer.

What is a machine learning part time job?

A Machine Learning Part Time job is a role where individuals work on ML-related tasks with a flexible or reduced schedule. These roles can involve data preprocessing, model development, evaluation, or deployment, depending on the organization's needs. Part-time positions are often suitable for students, freelancers, or professionals looking to gain experience while managing other commitments. They may be remote or on-site and can vary in duration and workload.

What are the typical responsibilities and expectations for a part-time machine learning role?

In a part-time machine learning position, you are generally expected to assist with data preprocessing, model development, and analysis of project results under the guidance of a senior data scientist or engineer. Your tasks might include cleaning datasets, coding algorithms, running experiments, and preparing reports or presentations for team meetings. The work is often project-based and requires regular communication with team members to ensure alignment on objectives and deliverables. This structure allows you to gain hands-on experience with real-world datasets and industry tools while maintaining a flexible schedule, making it ideal for students or professionals transitioning into the field.

What are the key skills and qualifications needed to thrive in the machine learning part time position, and why are they important?

To thrive as a Machine Learning Part Time professional, you need a strong foundation in statistics, programming (often Python or R), and knowledge of core machine learning algorithms, typically demonstrated through a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, Scikit-learn, or PyTorch and experience with data preprocessing tools or cloud platforms are commonly expected, and certifications like TensorFlow Developer can be beneficial. Effective communication, time management, and the ability to work independently are key soft skills for success in this role. These competencies enable you to efficiently contribute to projects, solve complex problems, and collaborate remotely or in hybrid team environments.

What are the most commonly searched types of Machine Learning jobs in California?

The most popular types of Machine Learning jobs in California are:

What are popular job titles related to Machine Learning Part Time jobs in California?

For Machine Learning Part Time jobs in California, the most frequently searched job titles are:

What job categories do people searching Machine Learning Part Time jobs in California look for?

The top searched job categories for Machine Learning Part Time jobs in California are:

What cities in California are hiring for Machine Learning Part Time jobs?

Cities in California with the most Machine Learning Part Time job openings:

Machine Learning Part Time jobs near you
Infographic showing various Machine Learning Part Time job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 59% Full Time, 38% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $42,026 per year, or $20.2 per hour.

Graduate Student Research Assistant - Aerospace - #721870615

Pomona, CA • On-site

CAL POLY POMONA FOUNDATION
Colleges, Universities, and Professional Schools • 1 - 5K employees
Learn more about CAL POLY POMONA FOUNDATIONexternal

$20/hr

Part-time

Re-posted 4 days ago

Job description

Description
Cal Poly Pomona Foundation Employment Services
ANNOUNCEMENT OF POSITION VACANCY
JOB POSITION: Graduate Research Assistant
DEPARTMENT: Aerospace
DATE Available: Immediately
ABOUT US: As the largest employer of students on the Cal Poly Pomona campus, the Foundation offers valuable work experience and hands-on training to approximately 1,500 Cal Poly Pomona students each year. The Foundation offers positions in various fields; whether it is in the area of technology, science, retail, culinary arts, hospitality 1500 management, leadership or research grants, this student employees participate in Cal Poly Pomona's learn-by-doing philosophy and acquire practical skills in their designated field of study.
The Foundation also contributes operating support to nearly 1,100 Foundation and scholarship programs every year, including Bronco Athletics and the Norman J. Priest Scholarship. In addition, the Foundation administers grants and contracts, contributes to campus security, and supports several university publications. The Foundation contributes over $1 million annually to Cal Poly Pomona.
SUMMARY: The Cal Poly Pomona Enterprises is currently searching for two Part-Time Graduate Research Assistants for a structural vibration experimental and numerical project under the supervision of Dr. Zahra Sotoudeh.
SOME OF THE THINGS THAT YOU WILL GET TO DO (this is just a small sampling of work variety):
  • Use ANSYS for structural analysis, experimental structural analysis, and machine learning.

MINIMUM QUALIFICATIONS:
  • Must be a current Cal Poly Pomona either in undergraduate or graduate level

MINIMUM QUALIFICATIONS:
  • Familiarity with ANSYS
  • Passed a Vibration course
  • Hands-on experience and willingness to learn experimental structural analysis

CSU along with Cal Poly Pomona Foundation require faculty, staff, and students who are accessing campus facilities to be immunized against COVID-19 or declare an exemption from doing so. The systemwide policy can be found at COVID-19 Vaccination Interim Policy and any questions may be sent to fdnhr@cpp.edu
Cal Poly Pomona Foundation, Inc. is an Equal Opportunity Employer. In compliance with the Americans with Disabilities Act, Cal Poly Pomona Foundation, Inc. may provide reasonable accommodations to qualified individuals with disabilities and encourages both prospective and current employees to discuss potential accommodation with the employer.

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