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Internship Toy Design Jobs in California (NOW HIRING)

We scope internships around a single meaningful question that can be answered in the time you have ... Design ablations that isolate what actually caused an improvement. * Present your findings to the ...

AI Developer Intern

San Francisco, CA · On-site

$22.75 - $29.75/hr

Design, build, test, and deploy AI software components including vision models, LLM integrations ... Strong interns have the opportunity to convert to a full-time role.

Internship Toy Design information

What is the difference between Internship Toy Design vs Junior Toy Designer?

AspectInternship Toy DesignJunior Toy Designer
QualificationsEnrolled in or recent graduate of design, art, or related programsBachelor's degree in design, art, or related field
Work EnvironmentTemporary, learning-focused, often part-time or summerFull-time, collaborative, professional studio setting
ResponsibilitiesAssist with toy concepts, learn design processes, support senior designersDevelop toy designs, create prototypes, contribute to product development
Industry UsageEntry point for students and new entrantsEarly career role for those gaining industry experience

In summary, an Internship Toy Design is a temporary, educational position aimed at students or recent graduates, focusing on learning and support. A Junior Toy Designer is a full-time role for individuals with some experience, responsible for creating and developing toy designs within a professional environment.

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

The most popular types of Toy Design jobs in California are:

What cities in California are hiring for Internship Toy Design jobs?

Cities in California with the most Internship Toy Design job openings:

Infographic showing various Internship Toy Design job openings in California as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Machine Learning Intern

Bland

San Francisco, CA • On-site

Full-time

Posted 4 days ago


Job description

The Role: Machine Learning Research Intern, Audio
As a Research Intern at Bland, you will own a focused research project across our voice stack: speech-to-text, large language models, neural audio codecs, or text-to-speech. You will work alongside our research team on the same problems they are working on, not on a side track built to keep interns busy.
We scope internships around a single meaningful question that can be answered in the time you have. The goal is a result worth shipping, publishing, or both. Interns here regularly see their work reach production systems handling millions of calls.
What You Will Do
Own a research question end to end
  • Take one well-scoped problem from literature review through implementation, experimentation, and results.
  • Design ablations that isolate what actually caused an improvement.
  • Present your findings to the research team and defend the methodology.

Work on real systems
  • Train and evaluate models on large-scale, real-world telephony audio, including the accents, noise, and artifacts that make production speech hard.
  • Use our distributed GPU infrastructure rather than toy-scale setups.
  • Where the result warrants it, work with engineers to move it toward production.

Choose your depth
Depending on your background and interests, your project may focus on:
  • Expressive and controllable text-to-speech, including prosody and emotion modeling
  • Neural audio codecs and discrete or continuous speech representations
  • ASR robustness for telephony, accents, and code switching
  • Real-time and streaming inference under latency constraints
  • Full-duplex conversation and turn-taking dynamics
What Makes You a Great Fit
Research foundations
  • Currently pursuing a MS or PhD in ML, CS, EE, or a related field, or equivalent research experience.
  • Comfortable reading a paper and reimplementing it without hand-holding.
  • Experience with self-supervised, generative, or multimodal modeling.

Audio or speech grounding
  • Hands-on work with speech or audio models, whether TTS, ASR, codecs, or audio representation learning.
  • Strong intuition for audio quality and what makes synthetic speech sound wrong.
  • Prior publications or open source contributions in speech or language AI are a strong signal, though not required.

Engineering ability
  • Fluent in PyTorch and comfortable in a real codebase.
  • Able to run your own experiments on GPU clusters without waiting to be unblocked.
How You Show Up
  • You identify the single experiment that validates an idea in days, not months.
  • You measure everything and let data drive decisions.
  • You are honest about negative results, because they are how we narrow the search.
  • You are obsessed with making voice agents sound truly human.
  • You use AI tools aggressively to amplify your own impact.
Benefits
  • Competitive intern compensation
  • Mentorship from researchers working on frontier voice AI
  • Every tool you need to succeed
  • Beautiful office in Levi's Plaza, SF with rooftop views
  • A real shot at a return offer