Fuku is seeking a Machine Learning Engineer - Search, Ranking & Personalization to join our team. You will be responsible for designing, building, and scaling machine learning systems that drive search, ranking, and personalization across our platform, which serves hundreds of millions of items daily. This is a highly impactful role where your work directly influences 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
- GraphQL, Prisma, Node.js, Python, gRPC/Protobuf, PyTorch
Team & Environment
The team is composed of experienced engineers from leading consumer tech companies, operating in a fast-paced startup culture with rapid iteration and experimentation.
Benefits & Compensation
- Salary: $190,000 – $260,000 per year
- Competitive equity package
- 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
Work Mode
This is a hybrid role based in New York, NY, or San Francisco, CA.
Fuku is an equal opportunity employer.
