Join Whatnot as a Senior Engineering Manager, ML Platform to lead the development and scaling of the core infrastructure that powers machine learning and self-hosted large language model applications across the company. As a hands-on builder, you'll work side by side with machine learning scientists to bring cutting-edge models into production and unlock entirely new product experiences.
Requirements
- 4+ years of engineering management experience developing production machine learning systems at consumer-scale loads
- 5+ years of hands-on software engineering experience building and maintaining production systems for consumer-scale loads
- 1+ years of professional experience developing software in Python
- Experience with operational, search, and key-value databases such as PostgreSQL, DynamoDB, Elasticsearch, Redis
- Experience working with ML-specific tools and frameworks such as MLFlow, LitServe, TorchServe, Triton
- Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Apache Kafka, Flink
- Exceptional documentation and communication skills
Benefits
- Generous Holiday and Time off Policy
- 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
