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

Fluency

Engineering Intern

San Francisco, CA · On-site

$20/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 ...

Weekday AI

Data Engineer - Finance

San Francisco, CA · On-site

$60 - $85/hr

Collaborate closely with finance and engineering stakeholders to translate business requirements ... It is not a business intelligence, reporting, dashboarding, machine learning, or AI research role.

Weekday AI

Data Engineer - Finance

San Francisco, CA · On-site

$60 - $85/hr

Collaborate closely with finance and engineering stakeholders to translate business requirements ... It is not a business intelligence, reporting, dashboarding, machine learning, or AI research role.

Bruker

Title Sr. Optical-Mechanical Engineer

San Jose, CA · On-site

$122K - $182K/yr

Type Employee Full Time/Part Time Full Time Overview As one of the world's leading analytical ... Perform stack up and tolerance analysis to ensure proper fit and function of assemblies under ...

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 ...

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Showing results 21-40

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 Aug 9, 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
Infographic showing various Part Time Full Stack Machine Learning Engineer job openings in San Jose, CA as of June 2026, with employment types broken down into 38% Full Time, 59% Part Time, and 3% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $157,950 per year, or $75.9 per hour.

Engineering Intern

Fluency

San Francisco, CA • On-site

$20/hr

Part-time

Posted 26 days ago

Job description

About Fluency
Fluency is an adaptive work intelligence platform for AI-first enterprises. Our OS-level agent maps how work actually happens across every application an employee uses, with zero integrations required, then surfaces where AI will deliver real ROI and measures the impact of every transformation initiative. Backed by Accel and trusted by teams at companies like Aon, PVH, Specsavers, and HMH, we're replacing guesswork in enterprise AI adoption with hard evidence.
About the internship
We're hiring an Engineering Intern for a 13-week internship at our San Francisco office. You'll work at least 3 days per week (8-hour days) on-site, and the schedule is designed to fit alongside your studies if you're currently enrolled.
Rather than hiring into a fixed role, we place interns into one of three tracks based on your skillset and interests, decided together during your first two weeks:
  • Product Engineering: Build user-facing features end to end and ship real product to real users, working across the stack with designers and product leads.
  • AI Engineering: Work directly with LLMs and agentic systems. Design prompts and evals, build AI-powered features, and improve the model-driven workflows at the heart of our platform.
  • AI Platform Engineering: Build the infrastructure that powers our AI systems: LLM data pipelines, agent orchestration, observability, and the tooling other engineers rely on.

Whichever track you land in, you'll have a dedicated mentor, one concrete deliverable per month, a mid-point check-in at week 6, and a final demo to the team in your last week. Strong interns are considered for return offers and full-time roles.
What you'll do
  • Ship production code from your first weeks, with code review and mentorship from senior engineers
  • Own a scoped project within your track and see it through from design to launch
  • Participate in standups, sprint planning, and technical discussions like any other engineer
  • Present your work to the broader team at the end of the internship

What we're looking for
  • Currently pursuing (or recently completed) a degree in Computer Science, Engineering, or a related field, or equivalent practical experience
  • Solid programming fundamentals in at least one language (we work primarily in Python and TypeScript)
  • Genuine curiosity about AI products and how LLMs are changing how enterprises work
  • Ability to work from our SF office at least 3 days per week for the full internship
  • Strong communication skills and a bias toward shipping

Nice to have (helps us place you in a track):
  • Personal or academic projects involving LLM APIs, RAG, agents, or fine-tuning
  • Full-stack or frontend experience (React or similar) for the Product track
  • Infrastructure, data pipeline, or LLM orchestration experience for the AI Platform track

Details
  • Duration: 13 weeks, with start dates aligned to the current cohort
  • Schedule: Minimum 3 days per week, 8 hours per day, on-site in San Francisco
  • Compensation: $20 per hour
  • Eligibility: Must be authorized to work in the US. We support F-1 students using CPT or OPT. CPT requires university approval, so apply early.
  • Age: Applicants must be 18 or older

Program dates
  • Applications open: Monday, July 13, 2026
  • Application deadline: Friday, August 14, 2026 (reviewed on a rolling basis, so early applications are encouraged)
  • Internship runs: Monday, September 8 to Friday, December 11, 2026 (13 weeks)

Fluency is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Compensation range is provided in compliance with California pay transparency requirements.

Apply