Machine Learning Engineer, Search

What you'll do

• Design and implement AI-powered features to enhance search recommendations and personalization.
• Productionize data products through rigorous experimentation and metrics analysis.
• Build and maintain robust, scalable data pipelines for search and recommendation systems.
• Develop comprehensive tools for evaluation and relevance engineering.
• Write optimized, low-latency code for high-performance systems.
• Deploy machine learning, NLP, or generative AI products at scale.
• Mentor engineers and data scientists to foster a culture of technical excellence.

What we're looking for

• Expertise in relevance engineering and recommendation systems is required.
• Experience with Elasticsearch, Solr, or vector databases is required.
• Strong proficiency in Python with solid object-oriented programming skills is required.
• Proven ability to write optimized, low-latency code for high-performance systems is required.
• Track record of shipping ML solutions that real users depend on is required.
• Experience deploying machine learning, NLP, or generative AI products at scale (strong plus).
• Familiarity with statistical methods is required.
• Exposure to Ruby, Rails, or Rust (advantageous).