The top talent working on the cutting edge of applied AI

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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
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Technical content

A primer on generative machine learning models for music production

Key Takeaways from Tribe AI’s LLM Hackathon

Everything you need to know about generative AI

No labels are all you need – how to build NLP models using little to no annotated data

10 ways to succeed at ML according to the data superstars

How 3 Companies Automated Manual Processes Using NLP

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