Feature Platform Engineer

Whatnot•San Francisco, CA

21d•$225,000 - $320,000•Remote

About The Position

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. As a remote co-located team, we’re inspired by innovation and anchored in our values . With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces –together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the fastest growing marketplaces , we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce. 💻 Role We’re looking for builders–intellectually curious, highly entrepreneurial engineers eager to shape the future of AI and ML at Whatnot. You’ll design and scale the feature ingestion and storage infrastructure that powers critical business logic & machine learning applications across the company. You’ll work side by side with machine learning scientists to make the most of near-real-time signals and unlock entirely new product experiences.

Requirements

4+ years of professional experience developing machine learning systems and algorithms, plus:
Bachelor’s degree in Computer Science, Statistics, Applied Mathematics or a related technical field, or equivalent work experience.
3+ years of software engineering experience building and maintaining production systems for consumer-scale loads.
1+ years of professional experience developing software in Python
Ability to work autonomously and drive initiatives across multiple product areas and communicate findings with leadership and product teams.
Experience with operational, search, and key-value databases such as PostgreSQL, DynamoDB, Elasticsearch, Redis.
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, Apache Kafka, Flink.
Professionalism around collaborating in a remote working environment and well tested, reproducible work.
Exceptional documentation and communication skills.

Responsibilities

Own the feature ingestion and storage infrastructure powering both core business logic and ML models across critical business surfaces–supporting growth, recommendations, trust and safety, fraud, seller tooling, and more.
Push the boundaries of real-time decisioning, ensuring Whatnot’s ML models respond ever faster to constantly changing marketplace dynamics.
Design and evolve real-time feature pipelines that feed both our online and offline stores, ensuring sub-second latency, high reliability, and model training fidelity.
Optimize system performance by managing resource utilization and developing intelligent feature caching strategies.
Empower scientists to iterate faster by building abstractions, APIs, and developer tools that simplify the development of near-realtime features.
Stretch beyond your comfort zone to take on new technical challenges as we scale AI across Whatnot’s ecosystem.

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 Home office setup allowance
Monthly allowance for cell phone and internet
Care benefits Monthly allowance for 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 All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
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.