Software Engineer, Discovery (search)

Whatnot · Consumer · New York, NY · Engineering

Software Engineer for the Search team at Whatnot, responsible for building the best search experience for users to find relevant content (streams, products, community). Focuses on taxonomy, search/filters, retrieval/ranking algorithms, and content understanding, using data-informed decisions and shipping quickly. Experience in applied statistical and machine learning fields like Search, Recommendations, Fraud, and Experimentation is required.

What you'd actually do

  1. building the best search experience for users to find the most relevant content on the platform: streams, products, and others in the community.
  2. understanding, building and maintaining a healthy ecosystem, where buyers find engaging content and sellers thrive with their business.
  3. focus on a wide variety of problems: taxonomy, search and filters, retrieval and ranking algorithms, as well as content understanding.
  4. make data informed decisions and ship quickly to benefit our users.

Skills

Required

  • 4+ years of software engineering experience
  • Bachelor’s degree in Computer Science, Machine Learning, Statistics, a related field, or equivalent work experience
  • Software engineering experience with a track record of applying practical methods to solve real-world problems on consumer scale data
  • Experience in applied statistical and machine learning fields e.g. Search, Recommendations, Fraud & Anomaly Detection, Experimentation and Causal Analysis
  • Knowledge of at least 3 languages (we primarily use Python, Elixir, JavaScript, and are open to others)
  • Excellent product instincts
  • You’re an excellent problem solver and don’t need to be told exactly what to do.
  • Ability to pick up on new technologies very quickly
  • Proven track record of delivering features
  • Startup experience at a high-growth company

What the JD emphasized

  • 4+ years of software engineering experience
  • track record of applying practical methods to solve real-world problems on consumer scale data
  • Experience in applied statistical and machine learning fields e.g. Search, Recommendations, Fraud & Anomaly Detection, Experimentation and Causal Analysis
  • shipping products and features lightning-fast
  • Startup experience at a high-growth company

Other signals

  • consumer scale data
  • search, recommendations, fraud & anomaly detection, experimentation and causal analysis
  • shipping products and features lightning-fast
  • startup experience at a high-growth company