Feature Platform Engineer

📋 Description

• Own the feature ingestion and storage infrastructure powering core business logic and ML models.
• Push real-time decisioning to make ML models respond faster to market changes.
• Design real-time feature pipelines for online and offline stores with sub-second latency.
• Optimize system performance by managing resources and implementing intelligent feature caching.
• Empower scientists with APIs and tools for near-realtime features.
• Scale AI across Whatnot's ecosystem.

🎯 Requirements

• Bachelor's degree in CS/Statistics/Applied Math or equivalent.
• 3+ years building production systems for consumer-scale loads.
• 1+ year Python development.
• PostgreSQL, DynamoDB, Elasticsearch, Redis experience.
• DataDog and Grafana visualization.
• AWS (Sagemaker, Lambda, Kinesis, S3), Kafka, Flink familiarity.

🎁 Benefits

• US salary: $225K–$320K/year + stock options.
• Flexible Time off and company holidays.
• Health Insurance options: Medical, Dental, Vision.
• Work From Home support with home office setup allowance.
• Monthly cell phone and internet allowance.
• Parental Leave: 16 weeks paid + return to work.