AGI

AI Researcher

San Francisco, CA
Python PyTorch JAX HTML
Description

AI Researcher

Department: Engineering

Location: San Francisco Office

Employment Type: FullTime

Think Different. Build the Future. šŸš€

Our Mission

Build everyday AGI. Trustworthy, consumer-grade agents that redefine human–AI collaboration for millions. Software shouldn’t wait for commands; it should partner with you, amplifying what you can do every single day.

Why AGI, Inc.

We’re a stealth team of elite founders and AI researchers, with backgrounds spanning Stanford, OpenAI, and DeepMind. 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)

If you see possibility where others see limits, read on.

About the Role

You'll be at the forefront of developing novel AI algorithms and techniques for action-taking intelligent agents. You'll be turning bold hypotheses into production-grade capabilities and pushing the boundaries of what current agents can accomplish.

Expect to:

  • Push frontiers. Prototype new architectures in reasoning, long-horizon planning, memory, multi-agent coordination, and alignment.

  • Ship, don’t shelve. Run live A/Bs on billions of real trajectories and see your ideas land in production within weeks.

  • Bridge theory and delight. Pair with product engineers to fuse novel algorithms with delightful consumer experiences.

  • Define the bar. Establish our research rigor, safety metrics, and evaluation pipelines for everything that calls itself ā€œagentic.ā€

  • Mentor and magnify. Level up interns, residents, and mixed-discipline hackers, multiplying the impact of the entire team.

Key Responsibilities

  • Create novel methods. RLHF, scalable supervision, tool-use planning, state-space memory, whatever unlocks new agent skills.

  • Scale experiments fast. Design datasets, train across thousands of GPUs, analyze results, iterate.

  • Own evals. Build automatic, adversarial, and human-in-the-loop benchmarks that predict real-world reliability.

  • Publish with purpose. Contribute to NeurIPS/ICML/ICLR/ACL when it moves the field, and our product, forward.

  • Harden for safety. Develop guardrails and interpretability tools so users can trust what the agent does next.

You Bring

  • PhD or equivalent track record in ML / NLP / RL / systems, with 3+ strong papers or open-source impact.

  • Mastery of PyTorch or JAX and large-scale training across distributed GPU clusters.

  • Hacker mindset—equally happy debugging HTML selectors and re-deriving state-space math.

  • Passion for shipping to real users, not just writing PDFs.

  • Thrive in fast, in‑person startups; ready to build in SF.


Our Culture

šŸ¢ All in, in person. Work moves faster face-to-face.
šŸš€ Ship by default. Novel and polished can coexist, speed is the feature.
šŸ¤ One band, one sound. Radical candor, zero politics, help each other win.

Our perks

šŸ„ Competitive company-sponsored medical, dental, and vision insurance.

āœˆļø Top-tier relocation and immigration support.

How to Apply

Send us:

  1. A link—or 60-sec video—of something you built and why it matters.

  2. Your resume or LinkedIn.

  3. Two sentences on the hardest problem you’ve cracked.

Every exceptional candidate hears back within 48 hours.

We can’t wait to see what you’ve got and to welcome you to the AGI Inc. team!

AGI
AGI

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