Machine Learning Engineer - Applied Science

What you'll do

• Own the ML development cycle from analysis to deployment in production.
• Lead development of models to enhance search quality across retrieval and ranking.
• Apply advanced techniques like learning-to-rank, embedding models, and reinforcement learning.
• Independently identify high-impact research directions and drive them to production.
• Mentor junior engineers and provide technical leadership in ML system architecture.

What we're looking for

• 8+ years experience in information retrieval, NLP, machine learning, or deep learning.
• Deep understanding of ML theory including supervised learning, ranking models, embeddings, and evaluation metrics.
• Proven ability to apply advanced ML techniques at scale to improve search relevance and retrieval quality.
• Comfortable leading experimentation, offline evaluation, and online A/B testing for iterative improvements in search quality.
• Actively monitors recent research literature and translates findings into practical system improvements.