ZipRecruiter

Log In

2

Machine Learning Part Time Jobs in California (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Scientist, Mid

San Diego, CA · On-site

$61K - $141K/yr

Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing * Knowledge ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

SLB

AI Solutions Architect

Menlo Park, CA · On-site

$228K - $231K/yr

Full-time or part-time: Full-time Job title: AI Solutions Architect Job Location: 640 W California ... Participate in data science, artificial intelligence, machine learning, and industrial analytics ...

Braze

Senior Lead AI Solutions Consultant

San Francisco, CA · On-site

$130K - $195K/yr

An expert in machine learning: You have a solid grasp of machine learning, including a familiarity ... In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total ...

next page

Showing results 1-20

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 Jul 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 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 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 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 July 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $42,026 per year, or $20.2 per hour.
Machine Learning Research Scientist

Machine Learning Research Scientist

GroupSolver

San Diego, CA

Part-time

Re-posted 16 days ago

Job description

GroupSolver is a market research tech startup based in San Diego with offices in Utah and Kosice, Slovak Republic. Combining AI and Crowd Intelligence, our technology helps decision makers and researchers find insights, which would otherwise remain hidden from traditional online surveys. Our clients include leading companies such as Google, Adidas, General Mills, Discovery, Lenovo, and Amazon.

  • Research and development: work with and develop state-of-the-art NLP models to improve conventional market research practices.

Basic Qualifications:

  • MS/PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field.
  • 2+ years of hands-on experience in predictive modeling, ML or large data analysis
  • Algorithm and model development experience for large-scale applications
  • Proficiency in at least one of the following languages: Python, R/Matlab, Java
  • Comfortable working with teams in different time zones, (USA, Europe)
  • Good communication skills, ability to explain technical concepts to non-technical audiences.

Preferred Qualifications:

  • Strong understanding of Transformer architecture and Attention mechanisms.
  • 2 years of experience in NLP
  • Familiarity with spaCy, AllenNLP, Gensim, Pytorch, Tensorflow, Deep Learning
  • Knows the difference between RNN, CNN, LSTM, GANs.
  • Familiar with Meta AI, Deepmind, Google AI, OpenAI and other big players.
Employment Type: PART_TIME

Apply