Research support for anyone, anywhere.
Join an active project, find collaborators, and publish your research — with mentorship, peer feedback, and free compute behind you.
TRUSTED BY RESEARCHERS FROM WORLD-CLASS INSTITUTIONS
Everything you need to publish independent research.
Three pillars of the collective — and the live opportunities to use them.
Collaborate on real projects
Join active research projects led by independent researchers and senior members. Bring your skills, find teammates, ship papers together.
Get peer feedback
Paper drafts read by working ML researchers. Reading groups, office hours, and grad school application reviews from community members.
Compute + community
$2M+ in compute grants distributed, plus a Slack of 5,000+ researchers across 60 countries. Never publish in isolation again.
Active Calls for Collaborators
12 New TodayScaling Laws for Sparse Transformers
Looking for a researcher with PyTorch experience to help benchmark inference speeds on TPU clusters.
Sim-to-Real Transfer for Quadrupedal Gait
Seeking a roboticist to co-design domain randomization curricula for a quadruped sim-to-real pipeline.
Fresh off the press.
Scaling Laws for Large Language Models on Heterogeneous Hardware
Mardiyyah Oduwole, Prince Mireku, Fatimo Adebanjo, Oluwatosin Olajide
Efficient Sparse Attention for Long-Context Transformers
Rajiv Patel, Thanh Nguyen, Amelia Brooks, Daniel Okafor
Neural Scene Graphs for Dynamic Visual Navigation
Wei Chen, Sora Lee, Hiroshi Tanaka, Maria Gonzalez
Learn from elite scientists.
Book one-on-one sessions with researchers from DeepMind, Google AI, and top labs.
Dr. Aris Thorne
Lead Scientist, NLP
Dr. Thorne focuses on the intersection of large-scale language modeling and alignment. He has mentored over 50 researchers in the collective.
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Elena Kostic
CV Specialist
Elena is a pioneer in open-source computer vision frameworks. She provides deep technical guidance on generative architecture and data ethics.
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Marcus Vane
Robotics Fellow
Marcus specializes in bridging the gap between simulation and physical hardware. His work at OpenAI has defined new standards for robotic dexterity.
View Profile →Independent, but never alone.
Our members bridge the gap between independent exploration and top-tier industrial labs.
ML Collective provided the infrastructure and community support I needed to publish my independent research while transitioning between institutions. It's a true safety net for innovation.
The mentorship here is unparalleled. I found world-class collaborators for my thesis in weeks, far faster than traditional university networking allowed.
Frequently Asked Questions
Everything you need to know about joining ML Collective.