Victor M.

Inquirer
DISC Type : cd

Staff Software Engineer, Machine Learning at Google

New York City Metropolitan Area, United States

Overview

Victor is a Staff Software Engineer at Google, focusing on AI for software engineering. A graduate of Tel Aviv University with a Masters in Applied Mathematics, he has extensive experience architecting large-scale ML systems for NLP and recommender systems at companies like Chegg and Taboola.

Outside of his main role, Victor is an active open-source contributor, a decorated Kaggle competitor, and frequently publishes research in top-tier venues like ICSE and NeurIPS. He is based in New York City.

Interesting fact: Victor has won multiple Kaggle competition medals, including a Silver Medal (Top 3%) in the Google AI4Code challenge.

Personality Overview

Upfront

Judgemental

ROI Conscious

They care equally about the product and its potential impact.  They can be nudged to make faster decisions by offering what they value. They respond well to confident salespeople.

Topics They Care About

AI Code Generation
He is focused on building and evaluating autonomous AI agents for software engineering and has co-authored papers on the "GitChameleon" benchmark for testing AI-generated code.
Permissive AI Datasets
Co-authored the "MixtureVitae" preprint, an open-access pretraining dataset designed to minimize legal risks for those training large language models.
LLM Evaluation
His work involves creating benchmarks to evaluate AI agents on complex tasks like Java code migration and handling Python library version incompatibilities.

Media Appearances

Victor has no verified media appearances

Work History

6-2024
Staff Software Engineer, Machine Learning at Google
1-2024
Advisory Board Member at ontocord.ai
7-2023 - 5-2024
Engineering Manager - Machine Learning at Chegg Inc.
5-2022 - 6-2023
Staff ML Engineer at Chegg Inc.
3-2020 - 4-2022
Machine Learning Engineer, Natural Language Processing at Taboola

Education

Master’s Degree from Tel Aviv University
B.Sc from Bar-Ilan University

More Information

Social Presence :

Prographics :

Exp : 13 Location : New York City Metropolitan Area, United States Job Level : Middle Designation : Staff Software Engineer, Machine Learning at Google
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Insights For Selling To Victor

During A Call Or A Meeting

DO's

  • Make sure that they have the necessary authority, they could present false stature sometimes
  • Refer to testimonials from others in similar positions
  • Get to the point quickly instead of spending too much time on pleasantries

DONT's

  • Don’t try to be an alpha salesperson, give them equal space
  • Don’t expect them to change their mind quickly if they say no once
  • Avoid long winding pitches, stay objective

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Victor is

  • Confidence in the product plays an important role, followed by powerful testimonials.
  • Will you ever get a clear answer from Victor

  • They might hesitate a little, but they will say no if they are not convinced.

Insights For Deal Planning

    How fast (or slow) will Victor move?

  • Their decision making speed is somewhere in the middle.
  • Can Victor take some risk or not?

  • Once they have analyzed the pros and cons, they can take some risks.

You And Victor

Personality Compatibility


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