Whatnot
Software Engineer, Search and Discovery Platform
Role: Software Engineer, Search and Discovery Platform at Whatnot. This description reflects the responsibilities and qualifications for the position. Overview
We are looking for intellectually curious, highly motivated individuals to be foundational members in shaping the Discovery Platform. You will define the technical direction and design a scalable Discovery system that powers feed, browse, search and taxonomy for a live shopping marketplace. This role involves cross-functional collaboration to integrate retrieval, ranking through machine learning, real-time and stream processing, and content understanding to enable a highly personalized discovery experience. Responsibilities Build the services and infrastructure to enable advanced recommendation systems solutions for real-time, dynamic feeds Build a scalable, stable, low-latency discovery experience Partner closely across machine learning, platform, and product engineering teams to utilize models to solve discovery problems Contribute scalable solutions across serving stacks at the feed, search, machine learning service, and Discovery application layers Define and advance the technical approach to scalable recommendation systems
Qualifications
5+ years of experience and a Bachelor's degree in Computer Science, Statistics, Mathematics, Software Engineering, or a related field (or equivalent experience) Experience building and scaling a platform to handle high-volume throughput applications Ability to work autonomously and lead initiatives across multiple product areas; mentoring and building inclusive, supportive teams Experience in machine learning fields (e.g., recommendations, content understanding, search) Expertise in designing and building scalable backend systems Familiarity with monitoring/logging tools (e.g., DataDog, Grafana) and cloud platforms (AWS, GCP) Experience with infrastructure-as-code (e.g., Terraform) and distributed systems concepts Proficiency in at least one server-side language (preferably Python) and knowledge of algorithms and data structures
Benefits
Flexible time off policy and company-wide holidays Health, dental, and vision insurance Work from home support with home office and connectivity allowances Care benefits and wellness allowances, with childcare support and family planning benefits 401(k) with employer match (US) and international pension options Dogfooding program and company-wide product engagement expectations Parental leave (16 weeks paid; concurrent with country leave requirements) Company and Equal Opportunity
Whatnot is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability, or any other status protected by local law. Compensation range: $162K - $215K Additional Details
Base pay range: $162,000.00/yr - $215,000.00/yr Location considerations: team members are within commuting distance of our San Francisco, Los Angeles, Seattle, and New York hubs Employment type: Full-time Seniority level: Mid-Senior level Job function: Engineering and Information Technology Industries: Technology, Information and Internet
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Role: Software Engineer, Search and Discovery Platform at Whatnot. This description reflects the responsibilities and qualifications for the position. Overview
We are looking for intellectually curious, highly motivated individuals to be foundational members in shaping the Discovery Platform. You will define the technical direction and design a scalable Discovery system that powers feed, browse, search and taxonomy for a live shopping marketplace. This role involves cross-functional collaboration to integrate retrieval, ranking through machine learning, real-time and stream processing, and content understanding to enable a highly personalized discovery experience. Responsibilities Build the services and infrastructure to enable advanced recommendation systems solutions for real-time, dynamic feeds Build a scalable, stable, low-latency discovery experience Partner closely across machine learning, platform, and product engineering teams to utilize models to solve discovery problems Contribute scalable solutions across serving stacks at the feed, search, machine learning service, and Discovery application layers Define and advance the technical approach to scalable recommendation systems
Qualifications
5+ years of experience and a Bachelor's degree in Computer Science, Statistics, Mathematics, Software Engineering, or a related field (or equivalent experience) Experience building and scaling a platform to handle high-volume throughput applications Ability to work autonomously and lead initiatives across multiple product areas; mentoring and building inclusive, supportive teams Experience in machine learning fields (e.g., recommendations, content understanding, search) Expertise in designing and building scalable backend systems Familiarity with monitoring/logging tools (e.g., DataDog, Grafana) and cloud platforms (AWS, GCP) Experience with infrastructure-as-code (e.g., Terraform) and distributed systems concepts Proficiency in at least one server-side language (preferably Python) and knowledge of algorithms and data structures
Benefits
Flexible time off policy and company-wide holidays Health, dental, and vision insurance Work from home support with home office and connectivity allowances Care benefits and wellness allowances, with childcare support and family planning benefits 401(k) with employer match (US) and international pension options Dogfooding program and company-wide product engagement expectations Parental leave (16 weeks paid; concurrent with country leave requirements) Company and Equal Opportunity
Whatnot is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability, or any other status protected by local law. Compensation range: $162K - $215K Additional Details
Base pay range: $162,000.00/yr - $215,000.00/yr Location considerations: team members are within commuting distance of our San Francisco, Los Angeles, Seattle, and New York hubs Employment type: Full-time Seniority level: Mid-Senior level Job function: Engineering and Information Technology Industries: Technology, Information and Internet
Referrals increase your chances of interviewing at Whatnot. Sign in to set job alerts for related roles. #J-18808-Ljbffr