A new path for AI talent

We're a home for the world's top technologists, built on the belief that work, impact, and compensation can coexist.

Apply to join
Join the best talent in AI
AI Researcher
Andrew C.
previously:

Worked at Google Brain, Gretel AI

OpenAI Fellow

LLMs, NLP, Transformers
AI Researcher
Jeff
previously:

AI and research at Meta,
Allen AI, and Palantir

CV, NLP, ML Engineer
Data Scientist
Michele
previously:

Worked for Nasa, Google,
Stanford, Wayfair

Text classification, Demand forecasting
Principal ML Engineer
Rahul
previously:

Director of Data Science at Appen,

Researcher at Toyota

Infrastructure, Data Science, ML Ops
ML Engineer
Timothy
previously:

ML at Google

Early engineer at Amazon Data

Data eng, NLP, Supply chain
ML Product Manager
Saguna
previously:

ML Producer at Uber and Groupon,

HCI at Stanford

Product Management, Language Interfaces, Algorithmic Pricing
Research Engineer
Seraphina
previously:

Researcher at University of Edinburgh

Product at Google

AI Fairness, Interpretability, NLP
ML engineer
Andrew
previously:

Engineering at Surge AI, Twitter

Harvard CS degree

Large Language Models, NLP, Humans-In-The-Loop
ML Engineer
Erik
previously:

Deep Learning Scientist at Ravel Biotech

Researcher at Harvard Medical School

LLMs, Genomics, Reinforcement learning
NLP Researcher
Prem
previously:

Data Scientist at IBM and AWS,

Faculty at Carnegie Mellon

Large Language Models, NLP, Infrastructure
Senior ML Engineer
Adrian
previously:

First employee at Weights & Biases,

Worked at Google

Data Science, NLP, Computer Vision
ML and Software Engineer
Jorg
previously:

Worked for Google Brain

and Facebook AI Research

Neural Networks, Computer Vision, Transformers
CTO
Oleksandr
Previously:

CTO at Togal
ML at Adblock

Deep learning, Neural networks, ML engineer
ML Engineer
Paige
Previously:

Software Engineering at Google

Linguistics at UCLA

NLP, CV, Linguistics
CTO
Doug
Previously:

VP of Eng at Carta

Head of Eng at Nova

Blockchain, Fintech, Advisor
Senior Data Scientist
Kineret
Previously:

Data at Google

Launched Apple card at Apple

Data infra, Deep learning
AI Research Scientist
Sundeep
Previously:

AI Research at Amazon

PhD Cognitive Neuroscience, Published 50+ papers

Data Science, Causal Interference, NLP
ML Engineer
Alda
Previously:

Engineer at Cityblock Health

Sr Engineer Flatiron Health

Product, Dimensional modeling, Analytics
ML Engineer
Scott
Previously:

Led ML at ClearBrain , Amplitude

Recommendations, ML infra, AWS
ML Engineer
Yada
Previously:

ML at Amazon, Microsoft,
ASAPP, Infinitus

Conversational AI, NLP, Healthcare
Full-stack Engineer
Richard
Previously:

Engineer at RBC

ML scientist at Arterys medical

Neural networks, Data eng, Recommendations
ML Engineer
Helen
Previously:

Worked at Asana, Wikimedia, CertiK

1st DS hire at Deserve

Data science, Web3, AI Ethics
ML Scientist
Catherine
Previously:

PhD from Cambridge University

Worked on NLP at Amazon Alexa

NLP, Chatbots, NLU
ML Engineer
Oana
Previously:

ML Engineer at Meta

Co-founder Habiter (YC S20)

NLP, LLM, Neural networks, Deep learning

Membership benefits

Consulting

Get contract engagements aligned with your skills and interests.

Set your own rates and hours
Monetize your skills
Don't stress about marketing, back office, and account management
Tribe gives me the flexibility to build a startup without needing tons of personal runway. I can throttle my consulting hours up or down based on how much I want to earn and how much time I have to work on other projects.

Community

Join a diverse community passionate about AI.

Connect with the other talented engineers and researchers
Invite-only meetups and speaker events
Awesome perks like free AWS credits and other benefits
After escaping the golden handcuffs of start-up tech, I started freelancing as a lone wolf. With Tribe, I discovered a community of like-minded curious thinkers who are always willing to share their technical learnings, compare rates, recommend places to travel, and trade emojis.

Placements

Find your dream job.

Test for a good fit with contract to hire
Find interesting, challenging part time work
Find your FT dream job without the headache
I took a full-time role because I wanted to truly be part of the company – have equity and help make decisions around strategy, while protecting a certain amount of my time to work on other projects.

Impact

Do interesting work and use machine learning for social good.

Solve interesting problems
Consult with impact-driven companies
Give back by working on pro-bono projects
I'm working on a project using cutting edge ML to assess fire risk in California. The work informs insurance pricing, connects the economy to the cost of climate change, and helps fight active fires. A lot of tech companies do mental gymnastics to come up with how they're changing the world, so it's nice to do work where the impact is so clear.
The application process

Tribe vets all member applicants for experience, skills, and culture fit.

1
5 minutes
Apply

Fill out a short application so we can learn about your experience and goals.

2
1 week
Interview

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.

3
1 week
Join

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.

What makes a strong Tribe member?

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

Case Study

Tribe FAQ

Case Study

Member spotlight: Gabe B.

Case Study

How to evaluate Generative AI opportunities

Podcast

Stackoverflow: ML and AI consulting-as-a-service (ep. 541)

Join the top AI talent network