Job Description
Glance AI - An In Mobi Group Company
Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping, less about searching for what you want and more about discovering who you could be. Operating in 140 countries, Glance AI transforms every screen into a stage for instant, personal, and joyful discovery, where inspiration becomes something you can explore, feel, and shop in the moment.
Its proprietary models, seamlessly integrated with Google’s most advanced AI platforms, Gemini and Imagen on Vertex AI, deliver hyper-realistic, deeply personal shopping experiences across categories such as fashion, beauty, travel, accessories, home décor, pets, and more. Designed to seamlessly integrate into everyday consumer technology, Glance AI reimagines the future of e-commerce with inspiration-led discovery and shopping.
With an open architecture built for effortless adoption across hardware and software ecosystems, Glance AI is creating a platform that can become a staple in everyday consumer technology. It partners with the world’s leading smartphone makers, connected TV manufacturers, telecom providers, and global brands — meeting people where they are: on mobile, smart TVs, and brand websites.
Through Glance AI’s rich first-party data and unparalleled consumer access, it harnesses In Mobi’s global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. Part of the In Mobi Group, a global technology and advertising leader reaching over 2 billion devices and serving more than 30,000 enterprise brands worldwide, Glance AI is backed by Google, Jio Platforms, and Mithril Capital.
Role overview:
In this role, you would own personalization and recommendation end to end — setting the vision, designing core ML systems, and pushing beyond traditional approaches toward intent-aware, contextual, and generative intelligence.
You would lead a team of 12–15 ML engineers and researchers, building large-scale, low-latency systems that directly power user experience and monetization. This includes core recommendation and ranking, as well as ML-driven ad optimization — spanning relevance, creative selection, pacing, bidding, and long-term user value optimization.
The problem space covers user and advertiser modeling, representation learning, exploration–exploitation, causal measurement, and online learning, with a strong emphasis on balancing engagement, revenue, and user trust.
This is a role where ML leadership defines the product, not just optimizes a subsystem. At Glance, you’d build systems that millions of users interact with daily, often without opening an app — creating a durable technical moat, scaling a world-class team, and shaping AI-driven discovery at scale.
The experience you'll need:
- Ph D or Master’s in a quantitative field such as Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or Economics, Analytics, Data Science. Or Bachelor's with additional experience.
- 10+ years of ad tech related industry experience working in ML / DS teams. You would have applied algorithms and techniques such as NLP, Reinforcement Learning, Time Series, etc. from Machine Learning, Deep Learning, and Statistics or other domains in solving real world problems and understand the practical issues of using these algorithms especially on large datasets.
- You should be comfortable with software programming and statistical platforms such as Tensorflow, Py Torch, scikit-learn, etc. etc.
- You should be comfortable with using one or more distributed training technologies such as apache spark, RAPIDS, dask, etc. etc. along with mlops stack such as kubeflow, mlflow, or their cloud counterparts
- Comfortable collaborating with cross-functional teams.
- Excellent technical and business communication skills and should know how to present technical ideas in a simple manner to business counterparts.
- Possess a high degree of curiosity and ability to rapidly learn new subjects
Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping, less about searching for what you want and more about discovering who you could be. Operating in 140 countries, Glance AI transforms every screen into a stage for instant, personal, and joyful discovery, where inspiration becomes something you can explore, feel, and shop in the moment.
Its proprietary models, seamlessly integrated with Google’s most advanced AI platforms, Gemini and Imagen on Vertex AI, deliver hyper-realistic, deeply personal shopping experiences across categories such as fashion, beauty, travel, accessories, home décor, pets, and more. Designed to seamlessly integrate into everyday consumer technology, Glance AI reimagines the future of e-commerce with inspiration-led discovery and shopping.
With an open architecture built for effortless adoption across hardware and software ecosystems, Glance AI is creating a platform that can become a staple in everyday consumer technology. It partners with the world’s leading smartphone makers, connected TV manufacturers, telecom providers, and global brands — meeting people where they are: on mobile, smart TVs, and brand websites.
Through Glance AI’s rich first-party data and unparalleled consumer access, it harnesses In Mobi’s global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. Part of the In Mobi Group, a global technology and advertising leader reaching over 2 billion devices and serving more than 30,000 enterprise brands worldwide, Glance AI is backed by Google, Jio Platforms, and Mithril Capital.
Role overview:
In this role, you would own personalization and recommendation end to end — setting the vision, designing core ML systems, and pushing beyond traditional approaches toward intent-aware, contextual, and generative intelligence.
You would lead a team of 12–15 ML engineers and researchers, building large-scale, low-latency systems that directly power user experience and monetization. This includes core recommendation and ranking, as well as ML-driven ad optimization — spanning relevance, creative selection, pacing, bidding, and long-term user value optimization.
The problem space covers user and advertiser modeling, representation learning, exploration–exploitation, causal measurement, and online learning, with a strong emphasis on balancing engagement, revenue, and user trust.
This is a role where ML leadership defines the product, not just optimizes a subsystem. At Glance, you’d build systems that millions of users interact with daily, often without opening an app — creating a durable technical moat, scaling a world-class team, and shaping AI-driven discovery at scale.
The experience you'll need:
- Ph D or Master’s in a quantitative field such as Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or Economics, Analytics, Data Science. Or Bachelor's with additional experience.
- 10+ years of ad tech related industry experience working in ML / DS teams. You would have applied algorithms and techniques such as NLP, Reinforcement Learning, Time Series, etc. from Machine Learning, Deep Learning, and Statistics or other domains in solving real world problems and understand the practical issues of using these algorithms especially on large datasets.
- You should be comfortable with software programming and statistical platforms such as Tensorflow, Py Torch, scikit-learn, etc. etc.
- You should be comfortable with using one or more distributed training technologies such as apache spark, RAPIDS, dask, etc. etc. along with mlops stack such as kubeflow, mlflow, or their cloud counterparts
- Comfortable collaborating with cross-functional teams.
- Excellent technical and business communication skills and should know how to present technical ideas in a simple manner to business counterparts.
- Possess a high degree of curiosity and ability to rapidly learn new subjects
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