Machine Learning Platform Engineer

Posted

WhatnotSan Francisco, CAHybridfull_timemid

$245,000 – $345,000 USD

Tech Stack

Solid badges = required, outlined = preferred

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

  • 401k
  • Dental
  • Equity
  • Flexible PTO
  • Gym/Wellness
  • Health Insurance
  • Parental Leave
  • Remote Stipend
  • Vision

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