Machine Learning Platform Engineer

Join Whatnot as a Machine Learning Platform Engineer to design and scale the core infrastructure that powers machine learning and self-hosted large language model applications across the company. Build systems that make advanced ML dependable and fast at scale, and work 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 that directly shape user experience and marketplace dynamics
• 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

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 (employer match up to 4% of base salary) and Pension plans internationally
• Monthly allowance to dogfood the app
• Parental Leave