Tal Schuster

Enthusiast
DISC Type : i

Senior Staff Research Scientist at Google DeepMind

New York, New York, United States

Overview

Tal is a Senior Staff Research Scientist at Google DeepMind, where he focuses on developing LLM adaptive compute modeling solutions for core products like Gemini. With a PhD from MIT, his expertise also includes improving the robustness of machine learning models in real-world applications.

His past work involved creating deep learning and computer vision applications for medical screenings, including algorithms to help predict personal cancer risk.

He co-developed CALM (Confident Adaptive Language Modeling), a method that allows language models to dynamically adjust computational effort to accelerate text generation.

Personality Overview

Non-Confrontational

Optimistic

Amiable & Agreeable

They agree with others often, so exercise caution when relying on their word.  They are more about building relationships than just cutting deals. Unlike D or C types, they are convinced more by stories and testimonials.

Topics They Care About

LLM Efficiency
Leads research to make models like Gemini faster and more efficient, exemplified by his work on Confident Adaptive Language Modeling (CALM).
Generative AI
As a key member of the Gemini team at Google DeepMind, he is directly involved in enhancing the capabilities of cutting-edge generative models.
AI in Healthcare
Previously developed deep learning algorithms for medical screenings and to assist physicians in predicting personal cancer risk.

Media Appearances

Tal has no verified media appearances

Work History

5-2025
Senior Staff Research Scientist at Google DeepMind
5-2024 - 5-2025
Staff Research Scientist at Google DeepMind
11-2023 - 5-2024
Staff Research Scientist at Google
8-2021 - 10-2023
Senior Research Scientist at Google
9-2021
Research Assistant at Massachusetts Institute of Technology

Education

2017 - 2021
Doctor of Philosophy - PhD from Massachusetts Institute of Technology
2015 - 2017
Master’s Degree from Tel Aviv University

More Information

Social Presence :

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Exp : 4 Location : New York, New York, United States Job Level : N/A Designation : Senior Staff Research Scientist at Google DeepMind
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Insights For Selling To Tal

During A Call Or A Meeting

DO's

  • Invite them for a lunch or a drink/coffee
  • Ask them how their day is going or exchange some other pleasantries
  • Compliment them about their personality if you get a chance

DONT's

  • Avoid overloading them with too much information
  • Don’t push them for a direct ‘no’, take lack of ‘yes’ as ‘no’ after some time
  • Don't be critical or challenge them openly, they can react defensively

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Tal is

  • Relationships and rapport matter to them, but so does the value of the product.
  • Will you ever get a clear answer from Tal

  • They probably won't say no directly.


Insights For Deal Planning

    How fast (or slow) will Tal move?

  • They are not the ones to make fast decisions, even while they stay committed.
  • Can Tal take some risk or not?

  • If it seems really necessary, they can take small risks.

You And Tal

Personality Compatibility


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