Staff Machine Learning Engineer - Recommendation Systems

Glance is hiring a Staff Machine Learning Engineer - Recommendation Systems in Bangalore.

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 f

Responsibilities

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.

Requirements

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.

• 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.

About Glance

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