
About Whatnot
Transforming eCommerce through live shopping experiences
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...
Skills & Technologies
Overview
Whatnot is hiring a Machine Learning Platform Engineer to design and scale core infrastructure for machine learning applications. You'll work with technologies like Python, TensorFlow, and Kubernetes in San Francisco. This role requires experience in building dependable ML systems at scale.
Job Description
Who you are
You are an intellectually curious engineer with a strong background in machine learning and AI. You have experience designing and scaling infrastructure that supports machine learning applications, and you thrive in collaborative environments where you can work closely with machine learning scientists to bring innovative models into production. Your expertise in Python and familiarity with frameworks like TensorFlow enable you to build systems that are both efficient and reliable. You understand the complexities of deploying large language models and are eager to tackle challenges related to low-latency serving and distributed training.
You possess a solid understanding of cloud technologies, particularly AWS, and have experience with containerization tools like Docker and orchestration platforms such as Kubernetes. Your problem-solving skills are complemented by your ability to communicate effectively with cross-functional teams, ensuring that the machine learning solutions you develop align with business objectives. You are passionate about leveraging AI to enhance product experiences and are excited about the potential of machine learning in e-commerce.
What you'll do
In this role, you will design and implement the core infrastructure that powers machine learning applications at Whatnot. You will collaborate with machine learning scientists to deploy cutting-edge models and ensure they operate efficiently at scale. Your responsibilities will include building systems for high-throughput GPU inference and optimizing the performance of machine learning models in production. You will also work on enhancing the reliability and speed of model serving, contributing to the overall success of the platform.
You will be involved in the entire lifecycle of machine learning projects, from initial design through deployment and monitoring. This includes developing data pipelines, conducting experiments to validate model performance, and iterating on solutions based on feedback and results. You will have the opportunity to influence the direction of AI and ML initiatives within the company, making a significant impact on the future of online marketplaces.
What we offer
Whatnot provides a dynamic work environment where innovation is encouraged and supported. You will be part of a rapidly growing team that is redefining e-commerce through community-driven experiences. We offer competitive compensation and benefits, along with opportunities for professional growth and development. Join us as we build the future of commerce and empower individuals to turn their passions into thriving businesses.
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