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Home›Jobs›Whatnot›Senior Engineering Manager, ML Platform
Whatnot

About Whatnot

Transforming eCommerce through live shopping experiences

🏢 Tech👥 1001+ employees📅 Founded 2019📍 Venice, Los Angeles, CA💰 $974.2m⭐ 4.9
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...

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Whatnot

Senior Engineering Manager, ML Platform

Whatnot • San Francisco, CA

Posted 1d ago🏢 HybridSeniorEngineering manager📍 San francisco
Apply Now →

Skills & Technologies

Machine learningAIPythonTensorFlowKubernetesDockerAWSDeep learningData engineeringMlops

Overview

Whatnot is seeking a Senior Engineering Manager for their ML Platform to lead the development of core infrastructure for machine learning applications. You'll work with technologies like Python, TensorFlow, and AWS to enhance product experiences. This role requires strong leadership and technical skills in AI and ML.

Job Description

Who you are

You have 5+ years of experience in engineering management, particularly in machine learning and AI. Your leadership style is hands-on, and you thrive in collaborative environments where you can guide teams to innovate and excel. You possess deep technical expertise in machine learning frameworks and have a solid understanding of deploying models at scale. Your experience includes working closely with data scientists and engineers to bring cutting-edge AI solutions into production. You are intellectually curious and eager to stay updated with the latest advancements in AI and ML technologies. You understand the importance of building dependable systems that can handle real-time data processing and model serving.

Desirable

Experience with large language models and familiarity with cloud infrastructure, particularly AWS, is a plus. You have a track record of mentoring engineers and fostering a culture of continuous learning and improvement within your team. You are comfortable navigating complex technical challenges and can communicate effectively with both technical and non-technical stakeholders.

What you'll do

In this role, you will lead the development and scaling of the core infrastructure that powers machine learning applications at Whatnot. You will collaborate closely with machine learning scientists to implement advanced models and ensure they are integrated seamlessly into the product. Your responsibilities will include overseeing the architecture of ML systems, optimizing performance for low-latency model serving, and ensuring that the infrastructure can support the rapid growth of the platform. You will also be responsible for establishing best practices in MLOps, including model monitoring, versioning, and deployment strategies. As a leader, you will mentor your team, helping them grow their skills and advance their careers while driving innovation in AI and ML.

What we offer

Whatnot provides a dynamic work environment where creativity and innovation are encouraged. You will have the opportunity to work on exciting projects that redefine e-commerce and impact millions of users. We offer competitive compensation and benefits, including flexible working arrangements that support a healthy work-life balance. Join us in building the future of online marketplaces and make a significant impact in the world of live shopping.

Interested in this role?

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