Staff Machine Learning Engineer - Recommendation Systems

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 InMobi’s global scale, insights, and targeting capabilities to create
high-impact, performance-driven shopping journeys for brands worldwide. Part of
the InMobi 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.

Glance - An InMobi Group Company    

Founded in 2019, Glance is a consumer technology company that operates
disruptive digital platforms including Glance, Roposo, and Nostra. Glance’s
’smart lock screen’ inspires consumers to make the most of every moment by
surfacing relevant experiences without the need for searching and downloading
apps. Glance Lock Screen is currently available on over 450 million smartphones
worldwide. Roposo is a LIVE platform that is revolutionizing live experiences,
through a unique, immersive, creator-led approach. Nostra is the largest gaming
platform in India and Southeast Asia, offering gamers engaging ways to discover,
play, watch, learn and compete.   
 
Headquartered in Singapore, Glance is an unconsolidated subsidiary
of InMobi Group and is funded by Jio Platforms, Google, and Mithril Capital. For
more information visit glance.com, nostra.gg, and roposo.com
[http://roposo.com/]

What should you know about joining Glance?  

At Glance, we walk the talk – free yourself, dream big, and chase your passion!
On joining, you’ll have opportunities to make an immediate impact on
mission-critical projects, as you work with highly capable and ambitious peer
groups.   

Be rewarded for your autonomy even as you collaborate. Ideate, innovate, and
inspire by leveraging bleeding-edge tech to disrupt consumer experiences.   

While you work, we’ll take care of nourishing your body, mind, and soul. This
includes daily meals, gym, trainings, tech tools, and regular unwind sessions.
Also, feel free to bring your kids – even the furry ones – to the office!

What You’ll Do

As a Data Scientist – Recommendation Systems, you will own and drive high-impact
ML systems powering personalization across Glance products.

* Design, build, and deploy large-scale recommendation and personalization
models using diverse, high-volume data sources.
* Lead rapid experimentation—from hypothesis formulation to offline evaluation
and online A/B testing—balancing speed, rigor, and business impact.
* Develop and productionize end-to-end ML pipelines, including data
preparation, feature engineering, model training, evaluation, and monitoring.
* Partner closely with Product, Engineering, Design, UX, and Business teams to
translate product goals into scalable ML solutions.
* Monitor model health and performance, applying statistical techniques to
ensure robustness and long-term effectiveness.
* Explore and prototype new ML techniques to improve relevance, engagement, and
monetization.
* Act as a technical interface for stakeholders, clearly articulating
trade-offs, results, and next steps.
* Contribute to Glance’s thought leadership through blogs, case studies, and
industry conference talks.

What We’re Looking For

Core Expectations

* Deep expertise in Machine Learning, Data Science, and Recommendation Systems
at scale.
* Strong applied understanding of experimentation, metrics, and causal
reasoning in real-world systems.
* Ability to take models from idea → prototype → production → business impact.

Experience & Skills

* 10+ years of industry experience in ML/Data Science building large-scale
recommendation or personalization systems.
* Hands-on experience applying techniques from ML, Deep Learning, NLP,
Reinforcement Learning, Time Series, and Statistics.
* Strong programming skills in Python with production-quality code practices.
* Experience with big data ecosystems, especially Apache Spark.
* Familiarity with cloud platforms such as AWS, GCP (Vertex AI), or Azure.
* Experience operating in identity-constrained / privacy-aware environments
(e.g., iOS/Android, identity-less systems) is a plus.
* Excellent communication skills—able to explain complex technical ideas
clearly to non-technical stakeholders.
* High curiosity, strong problem-solving ability, and a bias toward learning
and experimentation.

Qualifications

* Bachelor’s or Master’s degree in a quantitative field such as Computer
Science, Electrical Engineering, Statistics, Mathematics, Operations
Research, Economics, Analytics, or Data Science.
* PhD is a plus, but not mandatory.
* We value diverse academic backgrounds—great data scientists come from many
disciplines.

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