About the job
We are looking for a hardworking and experienced Machine Learning Engineer to build intelligent search experiences. In this role, you will build intelligent search systems that deeply understand user intent and context to return highly relevant, accurate, and personalized responses. You will develop and deploy machine learning models to shape how users find relevant content or answers, driving better experiences and higher satisfaction!
Responsibilities
Analyze search ranking and relevance requirements, issues and opportunities
Identify areas of improvement in our search pipeline and lead projects from research to production.
Design, train, and deploy machine learning models to improve search relevance and ranking.
Define evaluation metrics and benchmarks for search quality.
Collaborate with multi-functional teams including: product, design, and data engineering.
Find opportunity and partner with various product teams across the company to apply search technology to new product areas and use cases.
Qualifications
Minimum
Bachelors in Computer Science, Machine Learning, or a related field
5+ years of industry or academia experience in machine learning, with a focus on search, NLP, or recommender systems
Strong programming skills in C/C++ or Python, and experience with ML frameworks
Proficient understanding of search algorithms and familiarity with evaluation metrics for search and information retrieval
Excellent communication and collaboration skills
Preferred
Advance degree in Computer Science, Machine Learning, or a related field
Familiarity with NLP/ML tools and packages like Jax,TensorFlow, pyTorch, etc.
Experience working with transformer-based models (e.g., BERT, T5) in a search context
Prior industry experience on personal search systems
Ability to quickly prototype ideas / solutions, perform critical analysis, and use creative approaches for solving complex problems