Ivan Montero
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Ivan Montero Email & Phone Number

Senior Machine Learning Engineer at Apple
Location: Seattle, Washington, United States 14 work roles 3 schools
1 work email found @apple.com LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

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Work email i****@apple.com
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Current company
Role
Senior Machine Learning Engineer
Location
Seattle, Washington, United States

Who is Ivan Montero? Overview

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Ivan Montero is listed as Senior Machine Learning Engineer at Apple, based in Seattle, Washington, United States. AeroLeads shows a work email signal at apple.com and a matched LinkedIn profile for Ivan Montero.

Ivan Montero previously worked as Machine Learning Engineer at Apple and Research Intern at Apple. Ivan Montero holds Master'S Degree, Computer Science from University Of Washington.

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Email format at Apple

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{first}.{last}@apple.com
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Profile bio

About Ivan Montero

Ivan Montero is a Senior Machine Learning Engineer at Apple. He possess expertise in c++, java, web development, opengl, graphical user interface and 5 more skills. He is proficient in Chinese.

Listed skills include C++, Java, Web Development, Opengl, and 6 others.

Current workplace

Ivan Montero's current company

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Apple
Apple
Senior Machine Learning Engineer
Website
AeroLeads page
14 roles

Ivan Montero work experience

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

Senior Machine Learning Engineer

Seattle, Wa, Us

Machine Learning Engineer

Cupertino, California, Us

Research Intern

Cupertino, California, Us

Open-domain question answering improvements through document-level representation learning. Explored phrase-level and contextualized exact methods to improve semantic retrieval.

Jun 2021 - Sep 2021

Software Engineering Intern

Image understanding improvements to Photo Search on the Visual Search Relevance team.

Sep 2020 - Dec 2020

Software Engineering Intern

Mountain View, Ca, Us

Embedding retrieval optimizations on the Machine Learning Google Research team.

Jun 2020 - Sep 2020

Nlp And Deep Learning Research Intern

Cupertino, California, Us

Pivot Through English: Reliable Knowledge Transfer in Cross Lingual Question AnsweringPerform research experiments on the most effective, unified manner to reliably transfer knowledge from English question answering systems to lower resource languages by leveraging multilingual paraphrase detection.

Mar 2020 - Jun 2020

Research Assistant - Noah'S Ark (Natural Language Processing) Group

Seattle, Wa, Us

Plug and Play Autoencoders for Conditional Text Generation (EMNLP 2020)Perform research experiments on the most effective, unified manner to reliably transfer knowledge from English question answering systems to lower resource languages by leveraging multilingual paraphrase detection.

Oct 2019 - Jun 2020

Teaching Assistant - Machine Learning

Seattle, Wa, Us

CSE 446 (Autumn 2019, Winter 2020): Lead multiple 30-student sections on the theory and implementation of algorithms that learn from historical data and make inferences about future outcomes.

Sep 2018 - Mar 2020

Research Assistant - Seattle Children'S Research Institute

Seattle, Wa, Us

Recognizing Base J from Single Molecule Real Time (SMRT) SequencingExplore machine learning and signal processing methods to construct a genome-wide mapping of modified bases in infectious organisms from polymerase pauses during sequencing. Presented at the UW’s 22nd Annual Undergraduate Research Symposium.

Sep 2018 - Mar 2020

Teaching Assistant - Software Design And Implementation

Seattle, Wa, Us

CSE 331 (Spring 2019): Assisted the instruction of 250 students on the concepts and techniques for the design and construction of reliable, maintainable software systems.

Apr 2019 - Jun 2019

Software Engineering Intern

Mountain View, Ca, Us

Inferring physical billboard properties from street view on the Ads team.Billboard Detection Pipeline: Designed and implemented a distributed detection pipeline to infer a specific publisher’s physical ad units in street view. Given a few reference images, it bootstraps an annotated street view image dataset through a nearest neighbor search on extracted image features, and trains a TensorFlow detection model to perform evaluation on entire states. Bootstrapped a dataset of 30,000 images from 50 reference ones, and processed billions of street view imagery.Physical Ad Unit Properties From Street View: From detections in street view, designed and implemented a method to infer the physical dimensions, orientation, and location of each individual ad unit to better evaluate the attention it receives, quantifying the ad units’ value to the advertiser. Determined metrics for 96% of an advertiser’s billboards, deviating from the ground truth dimensions by an average of .6 meters.

Jun 2019 - Sep 2019

Engineering Practicum Intern

Mountain View, Ca, Us

Exhibiting the latest image feature capabilities on the Image Understanding Research and Photos Machine Intelligence teams.Photos Clustering Demo: Designed and implemented a web demo in C++ and Java that utilizes Google Photos infrastructure to showcase the latest experimental clustering methods and image feature quality from Image Understanding team.K-Nearest Neighbor Demo: Improved a C++ web demo that, given an image, extracts the image features and displays the most similar images and text queries. I enabled the demo to work on detection models, displaying regions on the query image and allowing interaction to view the most similar images/queries for a given region.Data-Parallel Clustering Pipeline: Engineered a pipeline in Java and C++ to produce image clusters through execution of several models in a concurrent, distributed manner on Google’s servers.

Jun 2018 - Sep 2018

Computer Science Summer Institute Participant

Mountain View, Ca, Us

Participated in an intensive programming institute learning web app development in HTML, CSS, Javascript, Python and Google AppEngine from Google engineersCreated various small projects using HTML, JavaScript and Python, including a fully dynamic question and answer forum

Jul 2017 - Aug 2017

Water Safety Instructor / Lifeguard

Covington Aquatic Center

Demonstrated and taught water safety and introduced basic water survival skills.Responded to emergency situations, providing life-saving first aid when necessary.

May 2015 - Aug 2017
Team & coworkers

Colleagues at Apple

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3 education records

Ivan Montero education

Master'S Degree, Computer Science

University Of Washington

Bachelor'S Degree, Computer Science

University Of Washington

Education record

Tahoma Senior High School
FAQ

Frequently asked questions about Ivan Montero

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

What company does Ivan Montero work for?

Ivan Montero works for Apple.

What is Ivan Montero's role at Apple?

Ivan Montero is listed as Senior Machine Learning Engineer at Apple.

What is Ivan Montero's email address?

AeroLeads has found 1 work email signal at @apple.com for Ivan Montero at Apple.

Where is Ivan Montero based?

Ivan Montero is based in Seattle, Washington, United States while working with Apple.

What companies has Ivan Montero worked for?

Ivan Montero has worked for Apple, Facebook, Google, University Of Washington, and Covington Aquatic Center.

Who are Ivan Montero's colleagues at Apple?

Ivan Montero's colleagues at Apple include Arjun G., 肖景钊, Tony Vuong Anh, Vikas Gujar, and Muhammed Farhan.

How can I contact Ivan Montero?

You can use AeroLeads to view verified contact signals for Ivan Montero at Apple, including work email, phone, and LinkedIn data when available.

What schools did Ivan Montero attend?

Ivan Montero holds Master'S Degree, Computer Science from University Of Washington.

What skills is Ivan Montero known for?

Ivan Montero is listed with skills including C++, Java, Web Development, Opengl, Graphical User Interface, Game Development, Python, and Javascript.

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