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Full Time Pytorch Jobs in California (NOW HIRING)

Required : • 3+ years of full-time experience in AI research engineering in machine learning ... PyTorch • A bachelor's degree in Computer Science/Software Engineering or equivalent industry ...

Experience with PyTorch, TensorFlow, or other deep learning frameworks is required. An advanced ... position, at a full time level of effort, exclusive of overtime, bonus, and benefits-related ...

Engineering Employment Type: Full Time Location: San Francisco Description This role sits at the ... Strong knowledge of PyTorch and modern ML inference optimization techniques * Comfortable with ...

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Full Time Pytorch information

What is the difference between Full Time Pytorch vs Machine Learning Engineer?

AspectFull Time PytorchMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, Data Science, or related fields; experience with PytorchBachelor's or higher in CS, Data Science, or related fields; experience with ML frameworks including Pytorch
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learning projectsTech companies, startups, or R&D teams working on ML solutions
Employer & Industry UsagePrimarily in AI research, deep learning projects, and model developmentDeveloping, deploying, and maintaining ML models across various industries

While both roles require knowledge of Pytorch, a Full Time Pytorch position typically focuses on implementing and experimenting with deep learning models using Pytorch. A Machine Learning Engineer often has a broader scope, including deploying models, optimizing algorithms, and working across different ML frameworks. The roles overlap in skills but differ in responsibilities and application scope.

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

The most popular types of Pytorch jobs in California are:

What are popular job titles related to Full Time Pytorch jobs in California?

For Full Time Pytorch jobs in California, the most frequently searched job titles are:

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The top searched job categories for Full Time Pytorch jobs in California are:

Founding Engineer

David Joseph & Company

San Francisco, CA

$160K - $220K/yr

Full-time

Re-posted 7 days ago


Job description

San Francisco, CA · On-site · Full-time Compensation: $160,000–$220,000 + ~0.5% equity

About the Company

Our client is building the ad network for AI. The team partners with consumer AI entertainment and character platforms to create immersive, personalized ad formats — playable ads, animated character ads, sponsored experiences, and creative units that feel native to AI companions rather than disruptive to users. The work sits at the intersection of advertising, consumer products, AI-generated media, and mobile entertainment. It's well-backed by a top-tier venture firm and other notable investors, and the team moves fast and ships often.

Industry: AI advertising / consumer AI

The Role

A Founding Engineer who can blend backend, ML, and traditional system design / infrastructure — a high-agency, high-slope builder, not a candidate filtered through a narrow tech-stack requirement.

Tech stack: Tech-stack agnostic; PyTorch fluency is a nice-to-have.

Requirements
  • 0–3 years of engineering
  • Backend + ML + systems
  • A side-project track record
Nice to Haves
  • A strong side-project portfolio that demonstrates building outside day-job scope
  • A recent grad or 0–3 YOE with exceptional signal (top engineering school, notable internships, or notable side projects)
  • A background at a consumer or ad-infrastructure company (e.g., Roblox, Meta, Amazon, or comparable) with side-project signal
Why Join
  • A founding seat: one of the earliest engineering hires at "the ad network for AI," with direct influence over the engineering culture
  • Direct founder access, with cross-functional work alongside the founding team
  • Backing and momentum: well-backed, fast-moving, ships often
  • Perks: meaningful equity, free lunch and dinner (meal stipend), office gym
Details
  • Location — San Francisco, CA
  • Work policy — On-site
  • Compensation — $160,000–$220,000 + ~0.5% equity
  • Visa sponsorship — Not available; US citizens or visa holders only
  • Employment type — Full-time