Senior Engineering Manager, ML Platform

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 a deep technical background in machine learning frameworks and have successfully led projects that integrate AI into production systems. Your ability to communicate complex technical concepts to non-technical stakeholders sets you apart, and you are passionate about mentoring engineers to help them grow in their careers.

You are intellectually curious and eager to stay ahead of industry trends in AI and machine learning. You understand the importance of building scalable systems that can handle real-time data processing and model serving. Your experience with cloud platforms, particularly AWS, allows you to design robust infrastructure that supports machine learning applications at scale. You are also familiar with containerization technologies like Docker and orchestration tools such as Kubernetes, which are essential for deploying and managing applications in a cloud environment.

Desirable

Experience with large language models and their deployment in production settings is a plus. Familiarity with data engineering practices and tools will help you collaborate effectively with data scientists and engineers. You have a track record of driving projects from conception to completion, ensuring that they meet both technical and business requirements. Your proactive approach to problem-solving and your ability to adapt to changing priorities make you a valuable asset to any team.

What you'll do

In this role, you will lead the engineering team responsible for developing and scaling the machine learning platform at Whatnot. You will work closely with machine learning scientists to bring cutting-edge models into production, ensuring they are reliable and performant. Your responsibilities will include overseeing the architecture of the ML infrastructure, implementing best practices for model deployment, and optimizing the performance of machine learning applications.

You will also be responsible for fostering a culture of innovation within your team, encouraging experimentation and the exploration of new technologies. Collaborating with cross-functional teams, you will define the roadmap for ML initiatives and ensure alignment with business goals. Your leadership will be crucial in mentoring team members, conducting performance reviews, and facilitating professional development opportunities.

Additionally, you will engage with stakeholders to understand their needs and translate them into technical requirements. You will be instrumental in establishing metrics to measure the success of ML projects and will continuously seek ways to improve processes and outcomes. Your role will also involve staying updated on the latest advancements in AI and machine learning, ensuring that Whatnot remains at the forefront of technology in the e-commerce space.

What we offer

Whatnot offers a dynamic work environment where innovation is encouraged, and your contributions will have a direct impact on the future of commerce. You will be part of a diverse team that values collaboration and creativity. We provide competitive compensation and benefits, including opportunities for professional growth and development. Join us as we redefine e-commerce and create a vibrant community for buyers and sellers alike.