Jigyasa Grover

Doer
DISC Type : ds

Machine Learning Engineer at Uber

San Francisco Bay Area, United States

Overview

Jigyasa Grover is an award-winning AI and Research Lead at Uber, specializing in large-scale machine learning systems for personalization and monetization. Educated at UC San Diego and Cornell, she is the author of Sculpting Data For ML and serves on Googles Developer Advisory Board, with previous experience at Meta, Twitter, and Faire.

Outside of her primary role, Jigyasa is passionate about community building and mentorship, having led initiatives for Women Who Code and Google Women Techmakers. She is an avid open-source contributor and enjoys traveling, exploring cities, baking pastries, and spending time with friends and family to creatively recharge.

Unique fact: Jigyasa was featured in the Google I/O 2024 main keynote, where her work was introduced by CEO Sundar Pichai.

Personality Overview

Results Focused

Deliberate Doer

Fast-paced

They exhibit a rare combination of being result-oriented but patient at the same time.  Reading between the lines and seeing beyond your words comes naturally to them. They might take some time to make their mind up but once they do, they don't change it easily.

Topics They Care About

Agentic AI Systems
Her recent focus is on AI that can reason, plan, and execute tasks, moving beyond static recommendations to systems that anticipate user needs.
Data-Centric AI
Authored the book 'Sculpting Data For ML, ' emphasizing that dataset quality and curation are the most crucial first steps in building effective AI models.
AI Personalization
Her career at Uber, Twitter, Meta, and Faire has centered on building and deploying large-scale personalization, ranking, and recommendation engines.

Media Appearances

019 | Jigyasa Grover - Machine Learning Google Developer Expert. Featured in Spotify

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Work History

4-2025
Machine Learning Engineer at Uber
LinkedIn Learning Instructor at LinkedIn
Google Developer Advisory Board (gDAB) Member at Google
Google Developer Expert (GDE) at Google
Champion Innovator: Cloud AI/ML at Google

Education

Computer Science with specialization in Machine Learning from UC San Diego
Machine Learning from Cornell, Maryland, and Max Planck Pre‑Doctoral Research School

More Information

Social Presence :

Prographics :

Exp : 1 Location : San Francisco Bay Area, United States Job Level : Junior Designation : Machine Learning Engineer at Uber
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Insights For Selling To Jigyasa

During A Call Or A Meeting

DO's

  • Suggest clear next steps with confidence, don't be vague or hesitant
  • Focus on the results that your product produces, expect some strategic questions in return
  • Come across as a trustworthy professional and be respectful, they usually know their game

DONT's

  • Don't shy away from asking hard questions, but be extra polite
  • Don't take their patience for granted, avoid long-winding sermons
  • Don't focus too much on mutual contacts or bother about other stakeholders, focus on them

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Jigyasa is

  • Strong proof of impact and their conviction will matter the most, but they wouldn't want to act unilaterally either
  • Will you ever get a clear answer from Jigyasa

  • They will say no if they are not convinced but you will have to prompt them.

Insights For Deal Planning

    How fast (or slow) will Jigyasa move?

  • They will want to understand things well but can move fast once they have a clear picture.
  • Can Jigyasa take some risk or not?

  • They have good risk tolerance but are likely to think it through once or twice.

You And Jigyasa

Personality Compatibility


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