Machine Learning Engineer

Overview

On Site
Depends on Experience
Full Time
No Travel Required
Unable to Provide Sponsorship

Skills

Search
Ranking
and Personalization
Machine Leaning
Databricks
Ramp
Data Dog

Job Details

Machine Learning Engineer | Search, Ranking, and Personalization

Location: New York City (Full-time, in-person) – 100% Onsite

Type: Fulltime

 

What We’re Looking For

·         3-7+ years of experience as an ML Engineer, Applied Scientist, or similar role

·         Strong background in search, ranking, retrieval, recommendation systems, or personalization

·         Proficiency in Python and modern ML frameworks (PyTorch preferred)

·         Experience deploying ML models into production and maintaining them over time

·         Familiarity with large-scale data processing (Ray, PySpark, or similar)

·         Experience with embeddings, representation learning, or vector retrieval systems

·         Ability to partner with engineering and product teams to ship user-facing ML features

·         Strong intuition for modeling tradeoffs, experimentation, and measuring impact

 

Nice to Haves

·         Experience with real-time inference systems and low-latency model serving

·         Experience with vector databases, ANN search libraries, or large-scale similarity search

·         Experience at an early-stage startup or in fast-experimentation environment

·         Background working on consumer search or recommendation systems

·         Experience with cloud infrastructure (Google Cloud Platform, AWS, or Azure)

 

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