AI Researcher
AI Summary
AI researcher role focused on developing novel agentic AI algorithms, running live experiments, and producing production-grade capabilities that blend research with consumer-facing products.
About this role
Think Different. Build the Future. 🚀
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 agentic AI. You will turn bold hypotheses into production-grade capabilities and push the boundaries of what current agents can accomplish.
This is not a pure research role. You'll run live A/Bs on billions of real trajectories and see your ideas land in production within weeks. You'll pair with product engineers to fuse novel algorithms with delightful consumer experiences.
You'll focus on breakthroughs, rigor, and impact — ensuring every experiment moves us closer to trustworthy everyday AGI.
What You'll Do
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 "agent-level."
Mentor and magnify: Level up interns, residents, and mixed-discipline hackers, multiplying the impact of the entire team.
Minimum Qualifications
PhD or equivalent track record in ML / NLP / RL / systems
3+ strong papers or significant open-source impact
Mastery of PyTorch or JAX
Experience with large-scale training across distributed GPU clusters
Strong programming skills and ability to ship production code
Preferred Qualifications
Publications at top-tier ML conferences (NeurIPS, ICML, ICLR, ACL)
Hacker mindset — equally happy debugging HTML selectors and re-deriving state-space math
Experience with RLHF, alignment, or agent-based systems
Track record of research that shipped to production
Passion for shipping to real users, not just writing PDFs
Why This Role Matters
Great research without great product is a paper. Great product without great research hits a ceiling.
You will define what's possible for agentic AI, and your work will directly shape how millions of people experience autonomous collaboration.
Our Culture
🏢 All in, in person — work moves faster face-to-face
🚀 Ship by default — speed and polish can coexist
🤝 One band, one sound — radical candor, zero politics
Perks
🏥 Competitive company-sponsored medical, dental, and vision insurance
✈️ Top-tier relocation and immigration support
How to Apply
Send us:
A link — or 60-second video — of something you built and why it matters
Your resume or LinkedIn
Two sentences on the hardest problem you've cracked
Every exceptional candidate hears back within 48 hours.
If you see possibility where others see limits, we'd love to meet you.
Skills
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