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