Feature Platform Engineer
Whatnot
about 1 month ago
Los Angeles, CA, USA +3 more
Mid Level / Senior
H1B Sponsor
Base Salary
$225k - $320k/yr
Responsibilities
- Own the feature ingestion and storage infrastructure for core business logic and ML models.
- Push the boundaries of real-time decisioning for faster ML model responses.
- Design and evolve real-time feature pipelines with sub-second latency.
- Optimize system performance through resource management and caching strategies.
- Build abstractions, APIs, and tools to empower scientists for faster iterations.
- Take on new technical challenges as AI scales across Whatnot's ecosystem.
Requirements
- 4+ years of professional experience in developing machine learning systems.
- Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, or related field.
- 3+ years of software engineering experience with production systems.
- 1+ years of experience developing software in Python.
- Experience with operational, search, and key-value databases like PostgreSQL and DynamoDB.
- Familiarity with cloud computing platforms such as AWS and Apache Kafka.
- Strong documentation and communication skills.
Benefits
- Flexible Time off Policy and Company-wide Holidays.
- Health Insurance options including Medical, Dental, Vision.
- Work From Home Support with allowances for home office setup.
- Monthly wellness and childcare allowances.
- 401k offering with employer match and international pension plans.
- 16 weeks of paid parental leave.
Tech Stack
Amazon DynamoDBApache FlinkApache KafkaAWSDatadogElasticsearchGrafanaPostgreSQLPythonRedis
Categories
AI & MLData Engineering