Lead Machine Learning Engineer

1 week ago


Bengaluru, India ShareChat Full time

What does the team do? Serving recommendations to 300+ million users entails developing large scale personalization and recommendation models that understand user needs and preferences in realtime, while also helping creators grow their audiences on our platforms. A subset of the problems we tackle include: Serving personalized feeds for 300+ million users via real-time candidate generators, multi-task prediction models, whole-page optimization, and in-session personalization. Nurturing our content and creator ecosystem, and developing models for strategic content valuation. Multi-objective balancing and long term measurement. We rely extensively on state-of-the-art ML around personalization, deep learning, causal inference, optimization, ranking and recommendation. AI - Our AI teams are spearheading the research and development, presenting innovations at various conferences. to learn. Learn from our CEO Ankush about our culture, innovation and growth. What You’ll Do We’re hiring a Lead Machine Learning Engineer  within the ShareChat AI team  to drive the development of recall models  in our recommendation systems. This is a high-impact IC role  at the heart of our Feed team , with end-to-end ownership of ML modeling — from training and deployment  to continuous improvement  of models that predict key user actions such as clicks, installs, and transactions .You’ll also work on applying machine learning to feed recommendations  for short videos and episodic content , where even small modeling improvements can create significant user and business impact. At ShareChat, the pace of experimentation and iteration is fast, success rates are high, and the environment is deeply technical. You’ll be joining us at a time when the science and engineering behind large-scale recommendation systems  are evolving rapidly — and you’ll be part of shaping what comes next. Who You Are You develop large-scale systems that serve recommendations to 300M+ users . You drive the ML roadmap  for recall-oriented candidate generation systems . You take end-to-end ownership  of ML systems, from model formulation and experimentation to production deployment and monitoring. You influence architectural design  for complex ML systems that balance user satisfaction, scalability, and business goals. You bring 4+ years of experience  in applied machine learning with a Bachelor’s, Master’s, or PhD  in Computer Science, Machine Learning, or a related field. Where you’ll be? Bangalore



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