Join the Future of Commerce with Whatnot! As a Machine Learning Platform Engineer, you'll design and scale the core infrastructure that powers machine learning and self-hosted large language model applications across the company, working side by side with machine learning scientists to bring cutting-edge models into production and unlock entirely new product experiences.
Requirements
- Own the infrastructure powering AI and ML models across critical business surfaces
- Prototype, deploy, and productionalize novel ML architectures
- Design and scale inference infrastructure capable of serving large models with low latency and high throughput
- Build distributed training and inference pipelines leveraging GPUs and both model and data parallelism
- Ability to work autonomously and drive initiatives across multiple product areas and communicate findings with leadership and product teams
Benefits
- Flexible Time off Policy and Company-wide Holidays
- 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
- 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