Kate Deyneka
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Kate Deyneka Email & Phone Number

Machine Learning Engineer | Generative AI | Snap Inc. at Snap Inc.
Location: San Francisco, California, United States 4 work roles 4 schools
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Current company
Role
Machine Learning Engineer | Generative AI | Snap Inc.
Location
San Francisco, California, United States
Company size

Who is Kate Deyneka? Overview

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Quick answer

Kate Deyneka is listed as Machine Learning Engineer | Generative AI | Snap Inc. at Snap Inc., a company with 4700 employees, based in San Francisco, California, United States. AeroLeads shows a matched LinkedIn profile for Kate Deyneka.

Kate Deyneka previously worked as Machine Learning Engineer at Snap Inc. and Masters Student Researcher at Uc Irvine Donald Bren School Of Information And Computer Sciences. Kate Deyneka holds Master Of Science - Ms, Computer Science from Uc Irvine.

Company email context

Email format at Snap Inc.

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Snap Inc.

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Profile bio

About Kate Deyneka

Machine Learning Engineer with 4 years hands-on experience in computer vision generative machine learning. Delivered products with 1+ billion impressions. Set up infrastructure for training large-scale networks on multiple nodes. Extensive expertise with Pytorch, OpenCV, Kubernetes, AWS, etc.

Current workplace

Kate Deyneka's current company

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Snap Inc.
Snap Inc.
Machine Learning Engineer | Generative AI | Snap Inc.
santa monica, california, united states
Website
Employees
4700
AeroLeads page
4 roles

Kate Deyneka work experience

A career timeline built from the work history available for this profile.

Machine Learning Engineer

Current

Los Angeles Metropolitan Area

  • Video Processing and Generation
  • Scaling neural network training on cloud
  • Neural network training speed-up
  • ML Lens creation with more than 1 Billion impressions: Old lens and Stunning look lens
  • ML beauty solutions development
  • Synthetic data processing
May 2022 - Present

Masters Student Researcher

Irvine, California, United States

  • Neural networks to recover colors of the images taken in the infrared spectrum“Deep Learning to Enable Color Vision in the Dark", first author
  • Development of bioinformatics pipelines and tools for CircadiOmics
Sep 2020 - Mar 2022

Software Engineer Intern

Santa Monica, California, United States

Denoising diffusion models application to solve a number of computer vision tasks: inpainting, adding noise and texture to synthetic data, adding noise and glare to assets

Jun 2021 - Sep 2021

Master Student Researcher

  • Pattern Recognition and Bioinformatics Lab, TU Delft
  • De novo genome assembly using long and short reads
  • Phylogenetic and variability analysis of proteins
Feb 2020 - Sep 2020
Team & coworkers

Colleagues at Snap Inc.

Other employees you can reach at snap.com. View company contacts for 4700 employees →

4 education records

Kate Deyneka education

Master Of Science - Ms, Computer Science

FAQ

Frequently asked questions about Kate Deyneka

Quick answers generated from the profile data available on this page.

What company does Kate Deyneka work for?

Kate Deyneka works for Snap Inc..

What is Kate Deyneka's role at Snap Inc.?

Kate Deyneka is listed as Machine Learning Engineer | Generative AI | Snap Inc. at Snap Inc..

Where is Kate Deyneka based?

Kate Deyneka is based in San Francisco, California, United States while working with Snap Inc..

What companies has Kate Deyneka worked for?

Kate Deyneka has worked for Snap Inc., Uc Irvine Donald Bren School Of Information And Computer Sciences, and Technische Universiteit Delft.

Who are Kate Deyneka's colleagues at Snap Inc.?

Kate Deyneka's colleagues at Snap Inc. include Francis Oparaocha, Alma Browne, Napthe Snap, Markus Peloquin, and Mahsa Mohammadi.

How can I contact Kate Deyneka?

You can use AeroLeads to view verified contact signals for Kate Deyneka at Snap Inc., including work email, phone, and LinkedIn data when available.

What schools did Kate Deyneka attend?

Kate Deyneka holds Master Of Science - Ms, Computer Science from Uc Irvine.

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