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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

AI Researcher

Andrew C.

previously:

Worked at Google Brain, Gretel AI

OpenAI Fellow

‍

AI Researcher

Jeff

previously:

AI and research at Meta,
‍Allen AI, and Palantir

‍

Data Scientist

Michele

previously:

Worked for Nasa, Google,
Stanford, Wayfair

Principal ML Engineer

Rahul

previously:

Director of Data Science at Appen,

Researcher at Toyota

ML Engineer

Timothy

previously:

ML at Google

Early engineer at Amazon Data

ML Product Manager

Saguna

previously:

ML Producer at Uber and Groupon,

HCI at Stanford

Research Engineer

Seraphina

previously:

Researcher at University of Edinburgh

Product at Google

ML engineer

Andrew

previously:

Engineering at Surge AI, Twitter

Harvard CS degree

ML Engineer

Erik

previously:

Deep Learning Scientist at Ravel Biotech‍

Researcher at Harvard Medical School

NLP Researcher

Prem

previously:

Data Scientist at IBM and AWS,

Faculty at Carnegie Mellon

Senior ML Engineer

Adrian

previously:

First employee at Weights & Biases,

Worked at Google

ML and Software Engineer

Jorg

previously:

Worked for Google Brain

and Facebook AI Research

CTO

Oleksandr

Previously:

CTO at Togal
ML at Adblock

ML Engineer

Paige

Previously:

Software Engineering at Google‍

Linguistics at UCLA

CTO

Doug

Previously:

VP of Eng at Carta

Head of Eng at Nova
‍

Senior Data Scientist

Kineret

Previously:

Data at Google‍

Launched Apple card at Apple

AI Research Scientist

Sundeep

Previously:

AI Research at Amazon‍

PhD Cognitive Neuroscience, Published 50+ papers

ML Engineer

Alda

Previously:

Engineer at Cityblock Health

Sr Engineer Flatiron Health

ML Engineer

Scott

Previously:

Led ML at ClearBrain , Amplitude‍

‍

ML Engineer

Yada

Previously:

ML at Amazon, Microsoft,
ASAPP, Infinitus

‍

Full-stack Engineer

Richard

Previously:

Engineer at RBC

ML scientist at Arterys medical

ML Engineer

Helen

Previously:

Worked at Asana, Wikimedia, CertiK‍

1st DS hire at Deserve

ML Scientist

Catherine

Previously:

PhD from Cambridge University

Worked on NLP at Amazon Alexa

ML Engineer

Oana

Previously:

ML Engineer at Meta

Co-founder Habiter (YC S20)

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.

Shalom

Entrepreneur & ML Engineer

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.

Alda

ML Engineer & Digital Nomad

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.

Oleksandr

CTO & ML Engineer

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.

Adrian

ML Engineer & Researcher

The application process

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

5 minutes

Apply

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

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.

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.