Vivek Kanojiya

AI Researcher

Seattle, Washington, United States8 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in search ranking and recommendations.
Delivered impactful ML solutions at Apple.
Strong background in multi-objective optimization.

Stackforce AI infers this person is a Machine Learning Engineer specializing in recommendation systems and search optimization in tech.

Contact

Skills

Core Skills

Machine LearningDeep LearningRecommendation SystemsWeb Development

Other Skills

LLMsTransformer ArchitecturesEmbedding-based RetrievalMulti-objective OptimizationPersonalizationDiversityColdstartCollaborative FilteringNLPWord2VecK MeansDBSCANJavaScriptjQueryHandlebars.js

About

I bring deep expertise in search ranking, recommendations, and embedding systems with a strong track record in multi-objective optimization, production-scale ML, deep learning, and applying LLMs to real-world challenges. At Apple, I’ve delivered impactful ML solutions across a range of flagship products — including Apple Music, Books, App Store, and Apple TV+ driving measurable improvements in user engagement, conversion, and personalization at scale.

Experience

8 yrs 8 mos

Total Experience

4 yrs 4 mos

Average Tenure

6 yrs 10 mos

Current Experience

Apple

3 roles

Senior Applied Research Engineer

Jul 2022 – Present · 3 yrs 11 mos

Harnessing LLMs, transformer architectures, embedding-based retrieval, and multi-objective optimization to elevate search relevance and user experience across the App Store, Apple Books, and Apple TV+.

Machine LearningLLMsTransformer ArchitecturesEmbedding-based RetrievalMulti-objective OptimizationDeep Learning

Senior Applied Research Engineer

Promoted

Jul 2021 – Jun 2022 · 11 mos

Applied Research Engineer

Jun 2019 – Jun 2021 · 2 yrs

Leveraging machine learning algorithms to make search experience better for Apple Music and App Store users, focussing on problems like diversity, coldstart, personalization etc

Machine LearningPersonalizationDiversityColdstart

Saavn

Machine Learning Engineer

Jul 2017 – May 2019 · 1 yr 10 mos · Mumbai Area, India

I work on recommendation systems and personalisation. Some of the features I developed include artists recommendations, topics suggestions, personalized mixes and song radio. Leveraged machine learning algorithms like collaborative filtering, NLP, word2vec, k means, DBSCAN and embedding search libraries like ANNOY.

Recommendation SystemsPersonalizationCollaborative FilteringNLPWord2VecK Means+2

Thb

Summer Intern

May 2016 – Jul 2016 · 2 mos · Gurugram, Haryana, India

> Built doctor prescription form UI designer with ability to:
Import JSON data from prescription form.
Export JSON data to build prescription form.
> Established real-time sync between prescription form and corresponding JSON data.
> Development was done in Visual Studio(Javascript/Jquery) using Handlebars.js with CSS for UI.
> Masonry library for grid layout and JqueryUI for features like Autocomplete, Drag-Drop is used.

JavaScriptjQueryHandlebars.jsCSSWeb Development

Geeksforgeeks

Winter Intern

Dec 2015 – Jan 2016 · 1 mo · Noida Area, India

> Built an interface for chat interview with a simple bot.
> Displayed dynamic questions based on previous record of user and company selected.
> User profile is maintained to store history of interviews given.
> Bootstrap, Jquery and Javascript for UI whereas PHP along with mysqli is used for backened.

JavaScriptjQueryBootstrapPHPWeb Development