Machine Learning Engineer • Mid-Level

Who you are

You have a solid background in machine learning and software engineering, with experience in building and deploying machine learning models at scale. You are intellectually curious and eager to collaborate with machine learning scientists to develop innovative solutions that enhance product experiences. Your expertise in Python and familiarity with frameworks like TensorFlow and PyTorch enable you to effectively implement complex algorithms and models. You understand the importance of building dependable systems and have experience with cloud infrastructure, particularly AWS, to support large-scale machine learning applications. You are comfortable working in a hybrid environment, collaborating with a diverse team across multiple locations. You thrive in a fast-paced setting and are excited about the opportunity to shape the future of AI and ML at Whatnot.

Desirable

Experience with Kubernetes for container orchestration and Docker for creating and managing containers is a plus. Familiarity with MLflow for managing the machine learning lifecycle will enhance your contributions to the team. You are also knowledgeable about distributed training and high-throughput GPU inference, which are critical for optimizing model performance. Your ability to communicate complex technical concepts clearly will help bridge the gap between engineering and product teams.

What you'll do

In this role, you will design and scale the core infrastructure that powers machine learning and self-hosted large language model applications across Whatnot. You will collaborate closely with machine learning scientists to bring cutting-edge models into production, ensuring they are reliable and performant. Your responsibilities will include building systems that support low-latency, large model serving, and optimizing distributed training processes. You will also work on high-throughput GPU inference to enhance the efficiency of model deployment. As part of a co-located team, you will engage in brainstorming sessions and contribute to the overall strategy for AI and ML initiatives at Whatnot. You will have the opportunity to experiment with new technologies and methodologies, driving innovation within the company.

What we offer

Whatnot provides a dynamic work environment where creativity and collaboration are encouraged. You will be part of a rapidly growing company that is redefining e-commerce and live shopping. We offer competitive compensation and benefits, along with opportunities for professional growth and development. Our culture values diversity and inclusion, and we believe that different perspectives lead to better outcomes. Join us in shaping the future of online marketplaces and making a significant impact in the world of commerce.