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.

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Join the best talent in AI
Utah
20h/week
Andrew C.
AI Researcher

Worked at Google Brain, Gretel AI

OpenAI Fellow

LLMs, NLP, Transformers
San Francisco
10h/week
Jeff
AI Researcher

AI and research at Meta,
Allen AI, and Palantir

CV, NLP, ML Engineer
Germany
40h/week
Michele
Data Scientist

Worked for Nasa, Google,
Stanford, Wayfair

Text classification, Demand forecasting
San Francisco, CA
20h/week
Rahul
Senior ML Ops Engineer

Director of Data Science at Appen,

Researcher at Toyota

Infrastructure, Data Science, ML Ops
New York
20 hours/week
Timothy
ML Engineer

ML at Google

Early engineer at Amazon Data

Data eng, NLP, Supply chain
New York, NY
20h/week
Saguna
ML Product Manager

ML Producer at Uber and Groupon,

HCI at Stanford

Product Management, Language Interfaces, Algorithmic Pricing
Edinburgh, Scotland
40h/week
Seraphina
Research Engineer

Researcher at University of Edinburgh

Product at Google

AI Fairness, Interpretability, NLP
Berkeley, CA
5h/week
Andrew
ML engineer

Engineering at Surge AI, Twitter

Harvard CS degree

Large Language Models, NLP, Humans-In-The-Loop
Bay Area
10h/week
Erik
ML Engineer

Deep Learning Scientist at Ravel Biotech

Researcher at Harvard Medical School

LLMs, Genomics, Reinforcement learning
Pittsburg, PA
10h/week
Prem
NLP Researcher

Data Scientist at IBM and AWS,

Faculty at Carnegie Mellon

Large Language Models, NLP, Infrastructure
Montreal, Canada
20h/week
Adrian
Senior ML Engineer

First employee at Weights & Biases,

Worked at Google

Data Science, NLP, Computer Vision
New York, NY
20h/week
Jorg
ML and Software Engineer

Worked for Google Brain

and Facebook AI Research

Neural Networks, Computer Vision, Transformers
Germany
10h/week
Oleksandr
CTO

CTO at Togal
ML at Adblock

Deep learning, Neural networks, ML engineer
LA
15h/week
Paige
ML Engineer

Software Engineering at Google

Linguistics at UCLA

NLP, CV, Linguistics
Colombia
5h/week
Doug
CTO

VP of Eng at Carta

Head of Eng at Nova

Blockchain, Fintech, Advisor
San Francisco
40h/week
Kineret
Senior Data Scientist

Data at Google

Launched Apple card at Apple

Data infra, Deep learning
San Francisco, CA
15h/week
Sundeep
AI Research Scientist

AI Research at Amazon

PhD Cognitive Neuroscience, Published 50+ papers

Data Science, Causal Interference, NLP
Digital nomad
20h/week
Alda
ML Engineer

Engineer at Cityblock Health

Sr Engineer Flatiron Health

Product, Dimensional modeling, Analytics
New York City
20h/week
Scott
ML Engineer

Led ML at ClearBrain , Amplitude

Recommendations, ML infra, AWS
San Francisco
20h/week
Yada
ML Engineer

ML at Amazon, Microsoft,
ASAPP, Infinitus

Conversational AI, NLP, Healthcare
Toronto
40h/week
Richard
Full-stack Engineer

Engineer at RBC

ML scientist at Arterys medical

Neural networks, Data eng, Recommendations
Toronto, Canada
20h/week
Helen
ML Engineer

Worked at Asana, Wikimedia, CertiK

1st DS hire at Deserve

Data science, Web3, AI Ethics
Cambridge, UK
20h/week
Catherine
ML Scientist

PhD from Cambridge University

Worked on NLP at Amazon Alexa

NLP, Chatbots, NLU
San Francisco
20h/week
Oana
ML Engineer

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