Applied Scientist III - Recommendations
Glance (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 40–65 LPA
Posted 19h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and deploy large-scale recommendation systems and machine learning models powering personalized consumer experiences on Glance.
- Own end-to-end ML workflows including data preparation, model training, evaluation, deployment, and performance monitoring to ensure quality and impact.
- Collaborate cross-functionally to integrate ML and generative AI features and contribute to ML/AI thought leadership via blogs, tech talks, and conferences.
Minimum Requirements
- 6+ years industry experience in machine learning or data science, preferably with large-scale recommendation systems or personalization.
- Bachelor's or Master's in Computer Science, Statistics, Mathematics, Electrical Engineering, Operations Research, Economics, Analytics, or related fields; PhD is a plus.
- Proficiency in Python and statistical/ML tools (R, NumPy, SciPy, PyTorch/TensorFlow).
- Experience with big data technologies (Spark, Hadoop) and cloud platforms (Azure, AWS, GCP); familiarity with deploying ML models in production.
Ideal Candidate Profile
- Deep expertise across classical ML, recommendation systems, and agentic AI or autonomous ML systems.
- Strong experience designing and operating production-scale ML pipelines handling diverse data sources and business impact measurement.
- Comfortable working in cross-functional product and engineering teams with ability to translate technical concepts for stakeholders.