Staff Applied Scientist- Recommendation Systems

Role overview

Staff Applied Scientist- Recommendation Systems at Glance

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

Responsibilities

• 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.

Required 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.
• " Glance collects and processes personal data such as your name, contact details, resume and other information that may contain personal data for the purpose of processing your application.
• Glance utilizes Greenhouse, a third-party platform.
• Please review Greenhouse's Privacy Policy to understand how the data collected from you is processed and managed.
• By clicking on 'Submit Application', you acknowledge and agree to the above privacy terms.
• Should you have any privacy concerns, you may contact us through the details mentioned in your application confirmation email."

Employment details

• Location: Bangalore [Karnataka] [India]

About the employer

• Glance
• Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile and TV — shaping the new era of shopping.
• To learn more, visit glance.com.
• Glance, which is pioneering new models of agentic commerce, is owned and operated by Glance InMobi Pte.
• Glance is owned and operated by Glance InMobi Pte.
• Founded in 2019, Glance is a consumer technology company that operates disruptive digital platforms including Glance, Roposo, and Nostra.
• Glance Lock Screen is currently available on over 450 million smartphones worldwide.
• For more information visit glance.com, nostra.gg, and roposo.com
• At Glance, we walk the talk – free yourself, dream big, and chase your passion!

Additional role details

• Glance is an intelligent shopping agent, redefining the commerce experience.
• Glance is operated by Glance InMobi Pte.
• Ltd., a non-consolidated subsidiary of global technology leader InMobi, and is backed by Mithril Capital, Google and Jio Platforms.
• InMobi
• InMobi Group is a global technology company shaping the future of agentic commerce and advertising.
• Through its ecosystem of businesses — including InMobi Advertising and flagship consumer platform Glance — InMobi leverages data, machine learning, and generative AI to help brands reach audiences more precisely and consumers discover products more intuitively.
• Ltd., a non-consolidated subsidiary of InMobi Pte.
• Ltd.
• InMobi Advertising
• InMobi Advertising, part of global technology company InMobi, is an agentic advertising platform helping brands and merchants achieve their business outcomes.
• Through its proprietary intelligence, AI-led solutions, and vast consumer reach — including flagship consumer platform Glance — InMobi Advertising delivers the omnichannel performance defining what's next in advertising and commerce.
• To learn more, visit advertising.inmobi.com.
• Glance - An InMobi Group Company
• 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.
• 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.
• What should you know about joining Glance?
• 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!