Optimize and scale search applications and infrastructure ensuring reliable search experiences. Work at the intersection of search technology and performance engineering to enhance document understanding capabilities.
Responsibilities
Implement performance monitoring and optimization strategies for Compass search services and the integration with North
Develop and maintain benchmarking frameworks to evaluate search model performance and infrastructure efficiency
Collaborate with modeling teams to optimize search models for faster response times and reduced resource consumption
Work on scaling the search services while maintaining high availability and low latency
Partner with product teams to translate performance requirements into technical implementations
Develop and optimize new tool surfaces for agentic search experiences
Requirements
You have proficiency in Python and backend search technologies (OpenSearch, ElasticSearch, Weaviate, FastAPI)
You possess experience with data or evaluation pipelines and performance benchmarking
You have experience profiling applications hosted on a mix of CPU, GPU, and autoscaled compute nodes
You can communicate technical performance metrics effectively to cross-functional teams
You have 4+ years of experience contributing to production environments
Benefits
An open and inclusive culture and work environment
Work closely with a team on the cutting edge of AI research
Weekly lunch stipend, in-office lunches & snacks
Full health and dental benefits, including a separate budget to take care of your mental health
100% Parental Leave top-up for up to 6 months
Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
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