Tribe AI | Hire top talent on demand

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Get access to the leading network of data scientists, ML engineers, and Generative AI experts.

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Work with 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)

Working with Tribe meant working with some of the best technical talent from Silicon Valley. This is simply talent we wouldn’t otherwise be able to attract to work with us in Oklahoma City and it’s upleveled the entire company.

CEO

Energy Logistics Company

I’m excited to partner with Tribe as we build out our full time team and create a larger suite of services, we couldn’t recommend them more.

CEO

Nota

We got so much more out of this project than we thought we would. And that’s in large part to the quality of the people Tribe brought in.

SVP of Data

PE Company

Our Tribe consultant has become an indispensable member of our team. I trust her completely and even included her as part of our leadership team in our fundraising materials.

Co-founder & CEO

Rita Health

I think the benefit with Tribe is they’re so experienced in the field, they can come in and very quickly assess what needs to be done and start making progress.

Co-founder & CEO

Fantasmo

Tribe works with companies that play to win

Top AI talent

Tribe has built a network of 300+ leading AI and ML practitioners from companies like OpenAI, Google, Meta, by leveraging fractional work models and making it easy for top talent to start consulting.

Scalable model

Sandr (our bespoke staffing LLM) and our extensive data infrastructure, enable us to staff technical dream teams in hours instead of weeks. Our process combined with our constantly growing pool of talent let us support companies as they evolve their across their AI lifecycle.

Speed

Speed to market is a huge advantage and doubly so in AI. We staff teams in days not months to help innovative companies play to win.

Derisked hiring

Tribe helps organizations build their technical teams with consult-to-hire and fractional talent solutions. Derisk the hiring process by getting to work with talent on a consulting basis first.

How it works

30-min video call

Needs assessment

Our team will help define your staffing needs based on your current processes, team structure, and business goals.

Average time: 1 day

Curated short list

Our team will curate a short list based on experience, skillset, budget and timeline. From there we’ll coordinate interviews with our experts to ensure the opportunity is a good match for both client and talent.

As fast as 3 days

Get started

If its a good fit for all parties, it’s time to get started. Most talent is available to start immediately and can projects can kickoff in as fast as 3 days from the initial call.