Machine Learning Platform Engineer
Posted
$245,000 – $345,000 USD
Tech Stack
Responsibilities
- Own the infrastructure powering AI and ML models across critical business surfaces supporting growth, recommendations, trust and safety, fraud, seller tooling.
- 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.
- Take on new technical challenges to scale AI across Whatnot’s ecosystem.
Soft Skills
Written CommunicationCross-Functional Collaboration
Benefits
- Flexible PTO
- Health Insurance
- Dental
- Vision
- Remote Stipend
- Gym/Wellness
- Parental Leave
- 401k
- Equity
Culture
Mission-DrivenWork-Life BalanceAsync CommunicationTransparent LeadershipInclusive Hiring
Requirements
Required: Bachelor’s degree in Computer Science, Statistics, Applied Mathematics or a related technical field, or equivalent work experience
Regions: Us
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About Whatnot
Industry: e-commerce
Size: medium
Whatnot is the largest livestream shopping platform in North America and Europe, enabling users to buy, sell, and discover items across hundreds of categories. It focuses on building live commerce at scale and creating an entirely new industry.
View company profile →Compensation
Base salary: $245,000 – $345,000 USD
Equity: stock options