Qualifications
Qualifications:Essential:- 3+ years of professional experience in building and deploying machine learning models in production environments.- Demonstrated experience with ranking, recommendation, or personalization systems.- Proficiency in PyTorch and adept with large-scale data processing for real-time inference.- Strong backend integration skills with technologies such as GraphQL, Prisma, Node.js, Python, gRPC/Protobuf.- Ability to thrive in a fast-paced, high-intensity startup culture.- Location: Based in New York or remote in San Francisco.Preferred:- Experience with companies such as DoorDash, Etsy, Pinterest, Amazon, or eBay.- Background in developing consumer-facing search or recommendation products.
About the job
Join Our Team as a Machine Learning Engineer – Search, Ranking & Personalization!
Are you passionate about leveraging machine learning to create intelligent, personalized experiences for users? At fuku, a rapidly growing shopping platform, we are on a mission to revolutionize the way consumers discover products. With a vibrant user base of over 350,000 active users and a remarkable 90% retention rate, our focus is on developing advanced search and ranking systems that build trust and enhance product discovery at scale.
As a Machine Learning Engineer, you will play a pivotal role in designing, constructing, and scaling machine learning systems that impact search, ranking, and personalization for our platform, which serves hundreds of millions of items daily. Collaborating with a talented team of engineers from leading tech firms like Pinterest and Amazon, you will have the opportunity to influence user engagement and retention significantly.
About fuku
fuku is an innovative shopping platform dedicated to transforming the online shopping experience. Founded in 2022 and currently in its seed stage, the company is committed to building intelligent systems that enable users to trust and discover products seamlessly. Our team comprises seasoned engineers with invaluable experience from top consumer technology companies, working together to shape the future of e-commerce.