AGI INC

AI Researcher

San Francisco Office

Sponsorship not specifiedDetected 340 days ago

Full-Stack DevelopmentGitFirewallResearchCollaboration

About the role

Trustworthy, consumer-grade agents that redefine human-AI collaboration for millions.
We're a stealth team of elite founders and AI researchers, with backgrounds spanning Stanford, OpenAI, and DeepMind.
MAKE DEVICES THINK LIKE A FRONTIER MODEL.

Responsibilities

The experiment design and writeups that compound across the team - kill what doesn't move the metric, double down on what does
How to design experiments that move a number you actually care about
What production model deployment looks like under hardware deadlines from OEM partners

Company info

Build everyday AGI.
Software shouldn't wait for commands; it should partner with you, amplifying what you can do every single day.
WHY AGI, INC.
We're industry leaders in mobile and computer-use agents, bringing these capabilities to consumer scale.
Grounded in years of agent research, our AI is designed with trustworthiness and reliability as core pillars, not afterthoughts.
We are supported by tier-1 investors who funded the first generation of AI giants; now they're backing us to build the next: everyday AGI. (Watch the demo https://drive.google.com/file/d/1ZydjdMeMh3x-QItUPQFbJUbhBW-4-XHa/view?usp=sharing)
If you see possibility where others see limits, read on.
Frontier capability inside the compute and memory envelope of a consumer device - phone, laptop, wearable - is not a constraint.
It's the most interesting research problem in applied AI today.
You'll lead training for one of the model families that powers our on-device agents: pretraining recipe choices, post-training (SFT, RLHF, DPO, GRPO and whatever the next acronym ends up being), distillation, quantization, and the long tail of tricks that make a small model punch above its weight.
This is for the researcher who's tired of training models that go behind an API.
You want your model on the device in your pocket, your mom's pocket, and a hundred million pockets you'll never meet.
🤩 TASKS YOU WILL OWN
One or more model capabilities end-to-end - from data mixture and training objective through eval and shipping into a production on-device runtime
A training workstream with a clear success metric and a checkpoint that ships
🤚 AREAS WHERE YOU WILL ASSIST
Infra and product engineers, by turning research wins into shipped capabilities
Partnerships, by telling them honestly what's possible at the next device refresh and what's not
Other researchers, by reading their code and making theirs easier to read
📚 SKILLS YOU'LL BE EXPECTED TO TEACH
The training techniques that matter most for our regime - distillation from frontier teachers, MoE at small scale, speculative decoding, KV cache compression
🧑‍🎓 SKILLS YOU'LL BE EXPECTED TO LEARN
On-device tool use and agentic post-training at consumer scale
The full stack from training run to phone

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