Fuku is hiring a Machine Learning Engineer to lead the development of search, ranking, and personalization systems. You will design, build, and scale ML infrastructure that serves a platform with hundreds of millions of items daily, directly influencing user retention and trust.
What You'll Do
- 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.
- Continuously improve model accuracy and system scalability.
- Contribute to product direction and technical roadmap for the company's ML systems.
What We're Looking For
- 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 Have
- Current or prior experience at companies like DoorDash, Etsy, Pinterest, Amazon, or eBay.
- Previous work on consumer-facing search or recommendation products.
Technical Stack
- PyTorch
- GraphQL
- Prisma
- Node.js
- Python
- gRPC/Protobuf
Team & Environment
Join the ML team, collaborating with a world-class team of engineers.
Benefits & Compensation
- Direct impact on a core product with a massive, high-retention user base.
- Work alongside top-tier engineers from leading consumer tech companies.
- Fast-paced startup culture with rapid iteration and experimentation.
- Opportunity to build the ML search and personalization strategy from scratch.
- Salary: $190,000 – $260,000 per year + equity: Competitive equity package.
Work Mode
This is a hybrid position located in New York, NY or San Francisco, CA.
