Sherjil Ozair

Co-Founder

San Francisco, California, United States7 yrs 5 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in Artificial Intelligence and Machine Learning.
Co-Founder of innovative AI startup.
Extensive research experience at leading tech companies.

Stackforce AI infers this person is a leading expert in AI and Machine Learning research.

Contact

Skills

Other Skills

PythonJavaCJavaScriptAlgorithmsMachine LearningNatural Language ProcessingInformation RetrievalComputational AdvertisingDistributed SystemsScientific ComputingNumerical AnalysisComputer ArchitectureProgramming LanguagesLinear Algebra

About

I train models.

Experience

7 yrs 5 mos

Total Experience

1 yr 4 mos

Average Tenure

2 yrs 3 mos

Current Experience

Project prometheus

Co-Founder

Jun 2025 – Present · 11 mos · San Francisco, California, United States

General agents

Chief Executive Officer

Feb 2024 – Present · 2 yrs 3 mos · San Francisco Bay Area

Tesla

Staff Research Scientist

Aug 2023 – Feb 2024 · 6 mos

Deepmind

2 roles

Senior Research Scientist

Nov 2020 – Jul 2023 · 2 yrs 8 mos · London, England, United Kingdom

Research Intern

Sep 2019 – Feb 2020 · 5 mos · London, United Kingdom

Google

2 roles

Research Scientist

May 2018 – Jan 2019 · 8 mos · San Francisco Bay Area

Research Scientist

Jun 2017 – Sep 2017 · 3 mos · San Francisco Bay Area

Baidu usa

Research Scientist

May 2015 – May 2016 · 1 yr

Speech Recognition

Université de montréal

Visiting Researcher

Dec 2013 – Dec 2014 · 1 yr

Unsupervised Deep Learning, in particular Generative Stochastic Networks and Generative Adversarial Networks.

Microsoft research india

Research Intern

Jan 2013 – Aug 2013 · 7 mos · Bangalore

Probabilistic Programming.

Trinity college dublin

Research Intern

May 2012 – Jul 2012 · 2 mos · Dublin, Ireland

I worked at the Distributed Systems Group at Trinity College, Dublin the summer of 2012.

Google summer of code

Software Engineer

Mar 2011 – Aug 2011 · 5 mos · Remote

Designed and developed a sparse linear algebra package as a sub-module to Sympy which can handle matrices with symbolic elements. Used the C-extension GMPy for its number crunching for optimized performance.