Senior Search Optimization Lead

2 days ago


Bengaluru, Karnataka, India Nykaa Full time
Lead a Team of Machine Learning Scientists

We are seeking a highly experienced Senior Search Optimization Lead to join our Data Science team at Nykaa in Bangalore. As a key member of our team, you will play a pivotal role in driving advancements in search relevance and ranking across our platforms.

Your primary responsibility will be to analyze user behavior data to develop high-quality machine learning algorithms that enhance search relevance and ranking. You will lead and mentor other machine learning scientists, fostering an environment of learning, growth, and success within the team.

In addition to your technical expertise, you will provide oversight and accountability for technical decisions, ensuring high standards are met in model development and deployment. You will also cultivate an inclusive environment that attracts and retains high-performing machine learning scientists.

To succeed in this role, you will need to collaborate with cross-functional teams to drive projects forward. This includes working closely with ML Scientists, Engineering Managers, Product Managers, QA, and DevOps Engineers in an agile development environment.

You will stay updated on advancements in the field of Machine Learning and apply these learnings to improve search algorithms. Your deep understanding of customer needs will enable you to leverage technology to enhance the search experience on Nykaa's platform.

We are looking for someone with 10+ years of industry experience in software engineering with at least 8+ years in Data Science. Proven track record of leading a group of ML Scientists along with building and deploying ML solutions that scale to large datasets is a must.

The ideal candidate will have extensive experience in the Search domain, with a strong focus on solving problems related to Ranking, Query Understanding and Expansion, Relevance Feedback and Click-Through Rate Optimization and Autocomplete through the application of ML techniques.

Strong foundational knowledge in Probability Theory, Statistics, and Machine Learning is essential. Expertise in text classifiers, vector search, and ANN (Approximate Nearest Neighbor) algorithms, fine-tuning transformer-based models, ranking algorithms (e.g., gradient boosting, LambdaMART), and retrieval and ranking models for autocomplete/suggestions is required.

A strong ability to navigate ambiguity, independently drive, design, and implement large-scale ML solutions is crucial. Demonstrated experience in taking ownership and delivering data-driven projects is also necessary.

We offer a competitive salary of ₹2000000 per annum, making it an attractive opportunity for seasoned professionals in the field of Machine Learning.



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