Kshitij Jain

Senior Software Engineer

Cambridge, Massachusetts, United States8 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in machine learning with a focus on resource efficiency.
Strong research background with multiple publications in ML.
Experience with large-scale recommendation models.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in AdTech and Fintech industries.

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Skills

Core Skills

Machine Learning

Other Skills

Active LearningAndroid DevelopmentCC++CTR predictionCost EstimationData AnalysisData ScienceData StructuresDeep LearningEclipseEconomicsGitGoogle Search AdsJava

About

Machine learning engineer at Google working on search Ads pCTR models. Currently interested in resource-efficient machine learning, and large-scale recommendation models. Previously, worked as an MLE at Amazon, ML Researcher at Borealis AI. Strong research experience with several papers in the area of machine learning, and theoretical computer science. A complete list of publications is available at https://scholar.google.ca/citations?user=jzUWh7kAAAAJ&hl=en. I have obtained my Master's and Bachelor's in Computer Science from the University of Waterloo, and IIIT, Delhi respectively.

Experience

Google

2 roles

Senior Software Engineer, Machine Learning

Promoted

Oct 2022 – Present · 3 yrs 5 mos

Software Engineer, Machine Learning

Feb 2021 – Oct 2022 · 1 yr 8 mos

Building ML models for Google Search Ads CTR prediction.

Machine LearningGoogle Search AdsCTR prediction

Amazon

Machine Learning Engineer

Jun 2020 – Jan 2021 · 7 mos

Part of Econtech, build ML models for the right cost estimation.

Machine LearningCost Estimation

Borealis ai

Machine Learning Researcher

Sep 2018 – May 2020 · 1 yr 8 mos · Waterloo, Ontario

Worked on pricing derivatives using neural networks. Used active learning to reduce the sample complexity of training.
Build an NLP product to predict stock returns using news data. Improved the predictions using multiple instance learning and attention models.

Neural NetworksActive LearningNatural Language ProcessingMachine Learning

Google

Software Engineering Intern

Jan 2018 – Apr 2018 · 3 mos · Waterloo, Ontario, Canada

Correlation one

Consultant

May 2017 – Jan 2019 · 1 yr 8 mos

University of waterloo

Graduate Teaching Assistant

Sep 2016 – Aug 2018 · 1 yr 11 mos · Waterloo, Ontario, Canada

Teaching Assistant for following courses:
Fall 2016: CS 135
Winter 2017, Spring 2017: CS 458/658
Fall 2017: CS 234
Spring 2018: CS 341

Directi

Software Engineer

Jun 2015 – Jul 2016 · 1 yr 1 mo · Mumbai Area, India

Part of RPM (Revenue per Impression) Prediction Team at Media.net. As a part of optimization team, I developed algorithm for predicting bids for Real-Time Bidding (RTB) using Machine Learning and statistical analysis.

Machine LearningStatistical Analysis

Iiit delhi

2 roles

Student Instructor for Competitive Programming

May 2015 – Aug 2015 · 3 mos · New Delhi Area, India

I was the Lead Student Coordinator for Competitive Programing course offered online to encourage programming and algorithms among the student of IIIT-Delhi. More than 200 students had registered for this course.