Feature Platform Engineer
About The Position
Whatnot is seeking a Feature Platform Engineer to design and scale the feature ingestion and storage infrastructure that powers critical business logic & machine learning applications. This role involves working with machine learning scientists to leverage near-real-time signals and create new product experiences. The engineer will own the infrastructure supporting growth, recommendations, trust and safety, fraud, and seller tooling. They will also push the boundaries of real-time decisioning, optimize system performance, and empower scientists by building abstractions, APIs, and developer tools. This position offers flexibility to work from home or from one of Whatnot's global office hubs in New York, Seattle, Los Angeles, and San Francisco.
Requirements
- 4+ years of professional experience developing machine learning systems and algorithms
- 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
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
