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# Machine Learning Engineer

- **Company:** ONE STOP COLLECTIBLE CORP
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $190,000.0 - $260,000.0
- **Contract:** Permanent contract
- **Skills:** Big Data, Protocol Buffers, Python (Programming Language), Machine Learning, Node.Js, Prism (Software), Software Deployment, Pytorch, Backend, Enterprise Integration, Graphql, Etsy, Machine Learning Operations, Grpc
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/machine-learning-engineer-search-ranking-personalization-fuku-7848612

## About the Role

*Must-Have Qualifications:*

 - 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.

*Preferred Background:*

 - Current or prior experience at companies like DoorDash, Etsy, Pinterest, Amazon, or eBay.
 - Previous work on consumer-facing search or recommendation products., *Green Flags:*
 - Experience solving large-scale consumer search/ranking challenges (e.g., Pinterest, Meta, TikTok, Amazon Ads).
 - Strong track record shipping high-impact ML features in consumer products.
 - Early-stage or startup experience with end-to-end ownership of ML pipelines.
 - Demonstrated "builder" mindset - side projects, prototypes, hackathon wins.
 - High intrinsic motivation and interest in future entrepreneurship.

*Red Flags:*

 - Primarily B2B search experience with limited data complexity.
 - Research-only background without production deployment.
 - Prefers management over hands-on technical work.
 - Struggles with ambiguity or high-intensity work environments.
 - Unwilling to relocate or adapt to NYC-based team culture.

## Description

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., 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.


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