Software Engineer, Discovery (Search)

🚀 Whatnot

Whatnot is a livestream shopping platform and marketplace backed by Andreessen Horowitz, Y Combinator, and CapitalG. We’re building the future of ecommerce, bringing together community, shopping and entertainment. We are committed to our values, and as a remote-first team, we operate out of hubs within the US, Canada, UK, Ireland, and Germany today.

We’re innovating in the fast-paced world of live auctions in categories including sports, fashion, video games, and streetwear. The platform couples rigorous seller vetting with a focus on community to create a welcoming space for buyers and sellers to share their passions with others.

And, we’re growing. Whatnot has been the fastest growing marketplace in the US over the past two years and we’re hiring forward-thinking problem solvers across all functional areas. 

💻 Role

Search engineers at Whatnot are responsible for building the best search experience for users to find the most relevant content on the platform: streams, products, and others in the community. To achieve our goals, we are passionate about understanding, building and maintaining a healthy ecosystem, where buyers find engaging content and sellers thrive with their business. We focus on a wide variety of problems: taxonomy, search and filters, retrieval and ranking algorithms, as well as content understanding. We make data informed decisions and ship quickly to benefit our users. The software team has a lot of individual responsibility and many more freedoms, so we need to hire people we can trust. Your ability to make good trade-offs and exercise good judgment is essential to us.

At this time, we are hiring Backend and Machine Learning Engineers for the Search team. 

👋 You

• 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 first think about users rather than the best technical solution.
• You are known for shipping products and features lightning-fast.
• 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.

💰Compensation

For US-based applicants: $178,000 - $235,000/year + benefits + stock options

The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity in the form of stock options.

🎁 Benefits

• Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
• Health Insurance options including Medical, Dental, Vision
• Work From Home Support
  • $1,000 home office setup allowance
  • $150 monthly allowance for cell phone and internet
• Care benefits
  • $450 monthly allowance on food
  • $500 monthly allowance for wellness
  • $5,000 annual allowance towards Childcare
  • $20,000 lifetime benefit for family planning, such as adoption or fertility expenses
• Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
• Parental Leave
  • 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.

💛 EOE

Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.