15 days ago
Los Angeles, CA, USA or New York, NY, USASenior
Base Salary
$160k - $210k/yr
Responsibilities
- Develop innovative solutions to complex problems in information retrieval and ranking.
- Build and optimize low-latency, high-throughput search APIs and retrieval systems.
- Evaluate and evolve the search technology stack and drive technical design decisions.
- Lead end-to-end work from research design through experimentation and delivery.
- Design evaluation frameworks for measuring relevance and user engagement.
- Improve query understanding using embedding models and hybrid retrieval techniques.
- Detect and investigate anomalies in search performance and ranking behavior.
- Collaborate with Product, Engineering, and client stakeholders to enhance search experience.
- Mentor teammates to improve experimentation rigor and operational excellence.
Requirements
- 5+ years of experience in machine learning, software engineering, or data-intensive product systems.
- Strong programming proficiency in Python and experience with AWS.
- Expertise in two or more technical domains: information retrieval, ranking systems, NLP, or distributed systems.
- Experience designing and operating high-scale backend systems or APIs.
- Strong judgment in ambiguous environments with noisy relevance signals.
- Ability to communicate technical concepts to both technical and non-technical audiences.
- Thrives in collaborative environments with strong ownership.
- Advanced degree in a quantitative discipline or equivalent industry experience.