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Join the Future of Commerce with Whatnot. Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. We are looking for intellectually curious, highly motivated individuals to be foundational members of our Discovery Feed & Personalization team. You will partner across the company to lead our Exploration efforts to help new sellers and small categories grow and thrive.
Job Responsibility:
Ship product features to deliver high-quality Discovery experiences for users
Build and maintain a scalable, stable, low latency feed experience
Build the services and infrastructure to enable efficient exploration systems to help small sellers and new categories grow
Lead a workstream of multiple other software engineers as the individual responsible for success
Partner closely across the machine learning, platform, and product engineering teams to utilize models to solve discovery problems
Contribute scalable solutions across various serving stacks at the feed, search, machine learning service, and Discovery application layers
Define and advance our technical approach to scalable recommendation systems
Requirements:
Bachelor’s degree in Computer Science, Statistics, Mathematics, Software Engineering, a related technical field, or equivalent work experience
5+ years of experience
Industry experience with a track record of applying practical methods to solve real-world problems on consumer scale data
Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams
Experience in discovery-related fields (e.g. Recommendations, Content Understanding, Search, etc.)
Expert at designing and building scalable and maintainable backend systems
Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana
Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Kafka, Flink/Spark
What we offer:
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
Home office setup allowance
Monthly allowance for cell phone and internet
Care benefits
Monthly allowance on both food and wellness
Annual allowance towards Childcare
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
Monthly allowance to dogfood the app
Parental Leave
16 weeks of paid parental leave + one month gradual return to work