Machine Learning Engineer - Search, Ranking & Personalization

Fuku•New York, NY

13d•$190,000 - $260,000•Remote

About The Position

As a Machine Learning Engineer at Client's company, you will join the ML team to design, build, and scale machine learning systems that drive search, ranking, and personalization across a platform serving hundreds of millions of items daily. This is a highly impactful role where your work directly influences user retention and trust. You will collaborate with a world-class team of engineers and play a key part in defining the ML search and personalization strategy from the ground up. The position is open to fully remote candidates.

Requirements

Minimum of 3+ years professional experience building and deploying ML models in production.
Proven experience with ranking, recommendation, or personalization systems.
Proficiency in PyTorch and large-scale data processing for real-time inference.
Strong backend integration experience (GraphQL, Prisma, Node.js, Python, gRPC/Protobuf).
Willingness to work in a high-intensity, fast-paced startup environment.
Based in New York or remote in San Francisco.

Nice To Haves

Current or prior experience at companies like DoorDash, Etsy, Pinterest, Amazon, or eBay.
Previous work on consumer-facing search or recommendation products.

Responsibilities

Design, train, and deploy large-scale search, ranking, and personalization models.
Handle hundreds of millions of items daily with high performance and reliability.
Collaborate closely with backend and infrastructure teams to integrate ML models into production (GraphQL, Prisma, Node.js, Python, gRPC/Protobuf).
Continuously improve model accuracy and system scalability.
Contribute to product direction and technical roadmap for Client's ML systems.