We're a home for the world's top technologists, built on the belief that work, impact, and compensation can coexist.
Worked at Google Brain, Gretel AI
OpenAI Fellow
AI and research at Meta,
Allen AI, and Palantir
Worked for Nasa, Google,
Stanford, Wayfair
Director of Data Science at Appen,
Researcher at Toyota
ML at Google
Early engineer at Amazon Data
ML Producer at Uber and Groupon,
HCI at Stanford
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Researcher at University of Edinburgh
Product at Google
Engineering at Surge AI, Twitter
Harvard CS degree
Deep Learning Scientist at Ravel Biotech
Researcher at Harvard Medical School
Data Scientist at IBM and AWS,
Faculty at Carnegie Mellon
First employee at Weights & Biases,
Worked at Google
Worked for Google Brain
and Facebook AI Research
CTO at Togal
ML at Adblock
Software Engineering at Google
Linguistics at UCLA
VP of Eng at Carta
Head of Eng at Nova
Data at Google
Launched Apple card at Apple
AI Research at Amazon
PhD Cognitive Neuroscience, Published 50+ papers
Engineer at Cityblock Health
Sr Engineer Flatiron Health
Led ML at ClearBrain , Amplitude
ML at Amazon, Microsoft,
ASAPP, Infinitus
Engineer at RBC
ML scientist at Arterys medical
Worked at Asana, Wikimedia, CertiK
1st DS hire at Deserve
PhD from Cambridge University
Worked on NLP at Amazon Alexa
ML Engineer at Meta
Co-founder Habiter (YC S20)
Membership benefits
Consulting
Get contract engagements aligned with your skills and interests.
Community
Join a diverse community passionate about AI.
Placements
Find your dream job.
Impact
Do interesting work and use machine learning for social good.
Tribe vets all member applicants for experience, skills, and culture fit.
Fill out a short application so we can learn about your experience and goals.
Within one week, you’ll hear whether you’ve been selected to meet with our admissions team to discuss your application and answer any questions you may have.
If you’re accepted into Tribe, you’ll be invited to join within a week of your interview. Once you're a member you’ll be able to meet other members, attend events, and join projects.
We're a community that learns, earns, and builds together. Learn what makes someone a good fit for Tribe.
Excellence
We seek members who are experts in their respective fields. We value deep technical knowledge and experience in ML/AI, data, and software development, and expect our members to demonstrate excellence in their areas of expertise.
Experience
We value members who have consulting or entrepreneurial experience. We look for people who can understand business context, can provide strategic guidance to clients, and deliver technical solutions. We encourage members to demonstrate leadership and take ownership of their projects.
Client-centric
We look for members who can understand and address the unique needs and challenges of our clients, and who can provide tailored solutions that exceed expectations and who consistently deliver high-quality results.
Collaborative
We emphasizes collaboration and teamwork on projects. We want members who work effectively in interdisciplinary teams, communicate clearly, and contribute to the collective knowledge of the network. We value members who want to learn from others and want to share their own expertise.
Integrity
We want members who are ethical, honest, reliable, and committed to maintaining client confidentiality and data security. We expect members to adhere to high standards of professionalism and integrity and to conduct themselves in a manner that reflects positively on the entire Tribe network.
Curiosity
We want members who are curious, embrace new perspectives, and are continuously learning. Tribe members push boundaries, experiment, learn, and iterate. This culture of lifelong learning is key when approaching rapidly evolving technologies like AI.
Get to know Tribe
Tribe FAQ
Member spotlight: Gabe B.
How to evaluate Generative AI opportunities
Stackoverflow: ML and AI consulting-as-a-service (ep. 541)
