Role overview
**ML Data Scientist — Search, Ranking & Personalization | New York (Onsite)**
**Location:**
Union Square, New York (5 days onsite, flexibility for the right candidate)
**Compensation:**
$170,000 – $200,000 + competitive equity
**Visa:**
H1B transfers welcome (new sponsorships not available)
**About the Company**
A rapidly growing AI-driven commerce platform is redefining how users shop and discover fashion through intelligent recommendation systems and personalized experiences.
* Over 650,000 downloads in six months
* 80% user retention rate
* $115M in GMV processed through the platform
* Backed by top-tier investors, including leading venture capital firms and notable angel investors
* A lean, high-performing team of 16 engineers and former founders
**The Role**
We are seeking a Machine Learning Data Scientist with 1–3 years of experience in applied machine learning, specializing in search, ranking, recommendation systems, and personalization.
You will play a key role in designing and deploying advanced ML systems that power intelligent product discovery and personalized engagement experiences at scale.
**Key Responsibilities**
* Design and train machine learning models for search, ranking, and personalization
* Develop and scale retrieval systems to support real-time product discovery
* Build end-to-end ML pipelines, from data ingestion to production deployment
* Experiment with embeddings, ranking algorithms, and personalization methods to enhance relevance
* Collaborate closely with engineering and product teams to ensure seamless ML integration
**Requirements**
**Experience and Background**
* 1–3 years of experience in applied machine learning, focused on search, ranking, or personalization
* Experience with large-scale data processing (e.g., ETL, PySpark)
* Bachelor’s degree in Computer Science, Data Science, or a related field (Top 50 university preferred)
**Technical Skills**
* Strong proficiency in Python
* Expertise with modern ML frameworks, particularly PyTorch
**Soft Skills**
* Strong ownership mindset and ability to deliver high-quality work independently
**Why Join**
* Build and deploy production-grade ML systems that directly impact millions of users
* Join a fast-scaling, venture-backed company with world-class leadership and investors
* Work alongside top engineers and innovators in a dynamic, ownership-driven environment