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Part Time Full Stack Machine Learning Engineer Jobs in San Jose, CA

Figma

Data Platform Engineer

San Francisco, CA · On-site

$134K - $162K/yr

You'll work at the intersection of data, infrastructure, and machine learning, building scalable ... Experience with modern data stack technologies such as Snowflake, dbt, or Dagster, and cloud ...

Fluency

Engineering Intern

San Francisco, CA · On-site

$40 - $50/hr

Participate in standups, sprint planning, and technical discussions like any other engineer ... Full-stack or frontend experience (React or similar) for the Product track * Infrastructure, data ...

New

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 ... machine learning algorithms, and optimization methods. Work with software engineers to integrate AI ...

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 ...

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All JobsFull Stack Machine Learning Engineer JobsPart Time Full Stack Machine Learning Engineer JobsPart Time Full Stack Machine Learning Engineer Jobs in San Jose, CA

Part Time Full Stack Machine Learning Engineer information

See San Jose, CA salary details

$52.2K

$157.9K

$223.3K

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

As of Jul 16, 2026, the average yearly pay for part time full stack machine learning engineer in San Jose, CA is $157,950.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,100.00 and $185,200.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Full Stack Machine Learning Engineer vs Part Time Data Scientist?

AspectPart Time Full Stack Machine Learning EngineerPart Time Data Scientist
CredentialsTypically requires machine learning, software engineering, and programming skillsRequires statistics, data analysis, and programming skills
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights
Industry UsageUsed in tech, finance, healthcare for deploying intelligent systemsUsed across industries for data analysis and reporting

While both roles involve data and programming, the Part Time Full Stack Machine Learning Engineer focuses on building and deploying machine learning models within full-stack applications, whereas the Part Time Data Scientist primarily analyzes data to generate insights. The former requires more software engineering skills, while the latter emphasizes statistical analysis.

What are popular job titles related to Part Time Full Stack Machine Learning Engineer jobs in San Jose, CA? For Part Time Full Stack Machine Learning Engineer jobs in San Jose, CA, the most frequently searched job titles are:
What job categories do people searching Part Time Full Stack Machine Learning Engineer jobs in San Jose, CA look for? The top searched job categories for Part Time Full Stack Machine Learning Engineer jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Part Time Full Stack Machine Learning Engineer jobs? Cities near San Jose, CA with the most Part Time Full Stack Machine Learning Engineer job openings:
Part Time Full Stack Machine Learning Engineer jobs near you
Full-Stack Engineer - Generalist (Contract, Palo Alto)

Full-Stack Engineer - Generalist (Contract, Palo Alto)

Moon Creative Lab

Palo Alto, CA • On-site

$110 - $160/hr

Full-time, Part-time

Posted 2 days ago

New

Job description

We are seeking a curiosity-driven Full-Stack Engineer to join our team. You'll own the development and testing of our software stack, from our web applications to our data-capture infrastructure, collaborating with our cross-disciplinary design and technical team to define feature priorities, design solutions that scale, and ship fast. What we need is execution with judgment: someone who can take a problem - not a pre-defined ticket - and ship it end-to-end. We're not looking for someone who executes a spec and moves on. We're looking for someone who is genuinely curious about how the things they build get used, and who improves their work in response to what they learn.
This is an in-office role that starts part-time (24-28 hrs/week) at an hourly rate of $110-$160, with the expectation of growing into a full-time position as we scale.
What You'll Do at Moon
  • Data Operations: Expanding the telemetry and data ingestion pipelines that bring raw data into our platform from our manufacturing processes for analysis.
  • Cross-system Reliability: Increasing the robustness and coverage of the end-to-end tests, CI, and reliability checks that cover a stack that spans many hardware modalities.
  • Core Feature Buildout: Building the frontend and backend interfaces that allow our internal and external users to interact with the system.
  • Core Infrastructure: Working on the data models and interfaces that drive our systems from the web to the machine tool
The Must-Haves
  • Full-Stack Proficiency: You have built and scaled cloud-native applications with production experience of modern frontend (e.g., React, TypeScript) and robust backend (e.g., Node.js, Python) stacks. Comfort with containerization and CI/CD pipelines.
  • Design and Product Intuition: You're not interested in just closing tickets - you have opinions about how the product should work, spanning both software architecture and customer-facing experience.
  • Systems Fluency: You thrive in growth environments where shipping is about balancing fast iteration with high-quality engineering across opinionated infrastructure layers.
  • Product Curiosity: You're interested in how people use the things you build, and you're committed to improving and rethinking your work in response to user feedback.
The Nice-to-Haves
  • Experience building systems from the ground up, where the first version didn't exist before you wrote it.
  • Curiosity about polymer science, 3D printing, and other parts of our production process.
  • Experience working at the interface of physical and digital worlds.
  • Allergic to slow software.
Sounds fun, right?
If you identify with Moon's values and would like to contribute to our work, please submit your resume and cover letter (optional)
EQUAL OPPORTUNITY EMPLOYER
Moon Creative Lab is an equal opportunity employer; applicants are considered for all roles without regard to race, color, religious creed, sex, national origin, citizenship status, age, physical or mental disability, sexual orientation, marital, parental, veteran or military status, unfavorable military discharge, or any other status protected by applicable federal, state or local law.

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