Staff Applied Scientist, Search – Discovery

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, optimize, and assess search retrieval and ranking systems.

• Develop recommendation algorithms from inception.

• Model the intent of members and projects to determine the optimal recommendations to present, along with timing and placement.

• Analyze behavioral and catalog data to uncover effective strategies.

• Enhance query parsing, intent recognition, and semantic comprehension for complex queries.

• Identify and assist in resolving catalog data quality challenges.

• Invent, prototype, implement, and refine formulas, models, and re-ranking methods.

• Assess image-based search and perceptual color matching.

• Create evaluation frameworks, success metrics, and conduct experiments.

• Collaborate with product, engineering, and catalog teams to translate research into production and implement improvements.

⛳️ Requirements

• Proven experience in developing search, recommendation, or ranking systems that have been deployed to real users and enhanced performance metrics.

• Advanced degree in a quantitative discipline such as computer science, machine learning, statistics, or applied mathematics, or equivalent practical experience.

• Profound knowledge of search and recommendation systems, with a focus on retrieval, ranking, and relevance.

• Strong understanding of queries and natural language processing (NLP), including semantic and embedding-based retrieval techniques.

• Experience with statistical modeling, experimental design, and hypothesis testing.

• Capability to prototype and implement concepts hands-on.

• Experience in deploying machine learning or data systems in production, or closely collaborating on deployment efforts.

🏝️ Benefits

• Flexible PTO.

• Sick Days.

• Paid National Holidays.

• Employer contributions to medical, dental, vision, short-term disability, and long-term disability plans.

• Employee assistance program.

• 401(k), eligible after the first 90 days of employment.

• Company-sponsored community events.

• Career growth and development opportunities.

• Flexible work schedules.

• Remote, in-person, or hybrid work arrangements based on team dynamics.