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Cara Van Uden Email & Phone Number

MLE @ Spotify | CS @ Stanford at Spotify
Location: United States, United States, United States 11 work roles 2 schools
1 work email found @spotify.com LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email c****@spotify.com
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Current company
Role
MLE @ Spotify | CS @ Stanford
Location
United States, United States, United States
Company size

Who is Cara Van Uden? Overview

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Quick answer

Cara Van Uden is listed as MLE @ Spotify | CS @ Stanford at Spotify, a company with 1 employees, based in United States, United States, United States. AeroLeads shows a work email signal at spotify.com and a matched LinkedIn profile for Cara Van Uden.

Cara Van Uden previously worked as Machine Learning Engineer II at Spotify and Graduate Research Assistant at Stanford University. Cara Van Uden holds Master Of Science - Ms, Computer Science from Stanford University.

Company email context

Email format at Spotify

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*@spotify.com
71% confidence

AeroLeads found 1 current-domain work email signal for Cara Van Uden. Compare company email patterns before reaching out.

Profile bio

About Cara Van Uden

Hi! I'm Cara. I’m a machine learning engineer with research and industry experience with multimodal and large language models (LLMs). I completed my MS in Computer Science at Stanford, and my double BA in Computer Science and Cognitive Science at Dartmouth.

Listed skills include Leadership, Research, Teamwork, Project Management, and 6 others.

Current workplace

Cara Van Uden's current company

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Spotify
Spotify
MLE @ Spotify | CS @ Stanford
Regeringsgatan 19, Stockholm, Stockholm County se
Website
Employees
1
AeroLeads page
11 roles

Cara Van Uden work experience

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

Machine Learning Engineer Ii

Current

Stockholm, Stockholm County, SE

(Currently) AI DJ: Generating engaging and informative commentary for the AI DJ using LLMs. Please see the first article for a mention of a project I’m leading — real-time commentary for AI DJ. (Previously) Podcast Ad Breaks: Placing natural advertisement breaks in podcasts using LLMs. Please see the second article for some details on this product!Involves.

Jul 2023 - Present

Graduate Research Assistant

Stanford, CA, US

Research in multimodal learning, transfer learning, and foundation models for medical text, image, and video data. I worked with the Stanford Machine Learning Group (Dr. Andrew Ng), Shah Lab (Dr. Nigam Shah), and Center for Artificial Intelligence in Medicine and Imaging (Dr. Curt Langlotz).

Oct 2021 - Jun 2023

Graduate Teaching Assistant In Computer Science

Stanford, CA, US

CS 145: Data Management and Data Systems

Sep 2021 - Dec 2021

Machine Learning Engineer Intern

Stockholm, Stockholm County, SE

Jun 2022 - Sep 2022

Machine Learning Engineer Ii

Boston, MA, US

On Exact Matching, built production machine learning pipelines for exact product matching (based on image and text data) at the scale of hundreds of millions of products. Only technical contributor for first 3 months and onboarded following team members. Python, PySpark, Airflow, Docker, Kubernetes, Google Cloud Platform (GCP).

Feb 2020 - Aug 2021

Data Scientist

Boston, MA, US

On Visual Similarity, worked on various applications of recommending and clustering visually-similar products.

Aug 2019 - Feb 2020

Research Assistant

Hanover, NH, US

Worked on hyperalignment and representation learning as part of the Center for Cognitive Neuroscience (Dr. Jim Haxby).

Dec 2017 - Jun 2019

Teaching Assistant In Computer Science

Hanover, NH, US

CS1: Introduction to Computer ScienceCS11: Foundations of Applied CS

Mar 2016 - Jun 2019

Research Assistant

Hanover, NH, US

Worked on NLP for biomedical applications (Dr. Saeed Hassanpour).

Jan 2016 - Jun 2017

Computational Neuroscience Research Intern

Pittsburgh, PA, US

Worked on self-supervised learning for fMRI (Dr. Marcel Just).

Jun 2018 - Aug 2018

Translational Data Science Intern

Summit, New Jersey, US

Jun 2016 - Sep 2016
Team & coworkers

Colleagues at Spotify

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2 education records

Cara Van Uden education

Master Of Science - Ms, Computer Science

Stanford University

Bachelor Of Arts - Ba, Computer Science And Cognitive Science

Dartmouth College
FAQ

Frequently asked questions about Cara Van Uden

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

What company does Cara Van Uden work for?

Cara Van Uden works for Spotify.

What is Cara Van Uden's role at Spotify?

Cara Van Uden is listed as MLE @ Spotify | CS @ Stanford at Spotify.

What is Cara Van Uden's email address?

AeroLeads has found 1 work email signal at @spotify.com for Cara Van Uden at Spotify.

Where is Cara Van Uden based?

Cara Van Uden is based in United States, United States, United States while working with Spotify.

What companies has Cara Van Uden worked for?

Cara Van Uden has worked for Spotify, Stanford University, Wayfair, Dartmouth College, and Carnegie Mellon University.

Who are Cara Van Uden's colleagues at Spotify?

Cara Van Uden's colleagues at Spotify include Theresa M., Veronica Balli, Sonu Sharma, Marco Kulovski, and Sharan Miller.

How can I contact Cara Van Uden?

You can use AeroLeads to view verified contact signals for Cara Van Uden at Spotify, including work email, phone, and LinkedIn data when available.

What schools did Cara Van Uden attend?

Cara Van Uden holds Master Of Science - Ms, Computer Science from Stanford University.

What skills is Cara Van Uden known for?

Cara Van Uden is listed with skills including Leadership, Research, Teamwork, Project Management, Strategic Planning, Analysis, Python, and Public Speaking.

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