What you will do:

• Build and grow various features of our search stack like search ranking models, query parsing/understanding, natural language question answering, etc.
• Deeply understand search usage and user needs and identify gaps in the search stack.
• Design, experiment with, and iterate on ML/NLP/IR solutions to address gaps in the search stack.
• Design and evolve experimentation framework to help evaluate improvements in the search stack.
• Write robust code that's easy to read, maintain, and test.
• Mentor more junior engineers or learn from battle-tested ones.

What makes you a great fit:

• BS in computer science, or a related degree.
• 5+ years of experience.
• Strong analytical skills and ability to work with data.
• Experience working in fields like recommendation systems, NLP, LLMs, applied machine learning, large-scale production search/ranking systems, or other related systems.
• Thrive in a customer-focused, tight-knit, and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company is a must.
• A proactive and positive attitude to lead, learn, troubleshoot, and take ownership of both small tasks and large features.
• Proven ability to design and build complex search/ranking/recommendation or other related systems.
• Strong coding skills in Python