Join Whatnot as an AI/ML Platform Engineer and design and scale the core infrastructure that powers machine learning and self-hosted large language model applications across the company. 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 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
- 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
Benefits
- Flexible Time off Policy
- Company-wide Holidays
- Health Insurance options
- 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
- Retirement; 401k offering for Traditional and Roth accounts in the US
- Monthly allowance to dogfood the app
- Parental Leave
