Whatnot

About Whatnot

Transforming eCommerce through live shopping experiences

🏢 Tech👥 1001+ employees📅 Founded 2019📍 Venice, Los Angeles, CA💰 $974.2m4.9
B2CMarketplaceSocialSocial MediaConsumer Goods

Key Highlights

  • Founded in 2019, headquartered in Venice, CA
  • Raised $974.2 million in Series E funding
  • Facilitated over $6 billion in sales as of 2025
  • Remote co-located team with hubs in US, UK, and Europe

Whatnot is a live stream platform and marketplace headquartered in Venice, Los Angeles, CA, that enables users to turn their passions into businesses. Founded in 2019, Whatnot has raised $974.2 million in funding and operates across the US, UK, and Europe, facilitating over $6 billion in sales as of...

🎁 Benefits

Whatnot offers comprehensive health, dental, vision, and life insurance plans, including coverage for dependents. Employees enjoy competitive salaries...

🌟 Culture

Whatnot fosters a remote-friendly culture that emphasizes innovation and community engagement. The company is dedicated to transforming eCommerce thro...

Overview

Whatnot is hiring a Machine Learning Engineer to design, train, and deploy models for fraud detection. You'll work with Python, TensorFlow, and AWS to build scalable systems. This position requires experience in machine learning and data analysis.

Job Description

Who you are

You have a strong background in machine learning and data analysis, with experience designing and deploying models to detect fraudulent behaviors. You are proficient in Python and have hands-on experience with frameworks like TensorFlow and Keras, enabling you to build robust ML solutions. Your understanding of data pipelines and real-time inference systems allows you to handle high-volume, low-latency workloads effectively.

You are skilled in conducting deep behavioral and adversarial data analysis, which helps you uncover fraud trends and improve detection systems. Your experience with AWS and SQL equips you to manage cloud-based solutions and work with large datasets efficiently. You thrive in collaborative environments and are eager to contribute to a team that values innovation and problem-solving.

What you'll do

In this role, you will design, train, and deploy both traditional machine learning and LLM-powered models to detect fraudulent activities across various user interactions and payment systems. You will lead the architecture of fraud detection and prevention systems, ensuring a balance between platform security and user experience. Your responsibilities will include building intelligent user graphs to model behavioral patterns and collusion networks, as well as developing scalable data pipelines that support real-time inference.

You will collaborate closely with cross-functional teams to implement solutions that enhance the security of the marketplace while maintaining a seamless user experience. Your role will involve conducting thorough analyses of user behavior to identify potential fraud trends and inform system improvements. You will also be responsible for mentoring junior team members and sharing your expertise in machine learning practices.

What we offer

Whatnot provides a dynamic work environment where innovation is encouraged. You will have the opportunity to work on cutting-edge technology in the e-commerce space, contributing to a platform that is redefining online marketplaces. We offer competitive compensation and benefits, along with a culture that values diversity and inclusion. Join us as we build the future of commerce together.

Interested in this role?

Apply now or save it for later. Get alerts for similar jobs at Whatnot.

Similar Jobs You Might Like

Based on your interests and this role

Whatnot

Machine Learning Engineer

Whatnot📍 San Francisco - Hybrid

Whatnot is hiring a Machine Learning Engineer to design, train, and deploy models for fraud detection. You'll work with Python, TensorFlow, and AWS to build scalable systems. This position requires experience in machine learning and data analysis.

🏢 Hybrid
2w ago
Plaid

Machine Learning Engineer

Plaid📍 San Francisco - Remote

Plaid is hiring a Senior Machine Learning Engineer to design and build scalable ML infrastructure for fraud detection. You'll work with Python, TensorFlow, and AWS to enhance model deployment and monitoring. This position requires significant experience in machine learning and infrastructure.

🏠 RemoteSenior
2w ago
Whatnot

Software Engineering

Whatnot📍 San Francisco - Hybrid

Whatnot is seeking a Software Engineer to join their Fraud Experience team, focusing on building intelligent systems to detect and prevent fraud. You'll work with Java and machine learning technologies to enhance the security of their marketplace.

🏢 Hybrid
1 month ago
Whatnot

Software Engineering

Whatnot📍 San Francisco - Hybrid

Whatnot is hiring a Software Engineer for their Fraud Experience team to build intelligent, real-time systems that safeguard the marketplace from malicious activity. You'll work with machine learning and backend technologies in San Francisco. This position requires experience in fraud detection systems.

🏢 HybridMid-Level
3 months ago
Block

Machine Learning Engineer

Block📍 Bay Area - On-Site

Block is hiring a Staff Machine Learning Engineer to design and build machine learning systems that combat fraud and abuse. You'll work with technologies like Python, AWS, and TensorFlow to develop high-scale, real-time ML systems. This role requires 12+ years of experience in software development.

🏛️ On-SiteStaff
1w ago