Data Scientist / MLE ($200k-$300k + Equity) at high-growth AI content platform

High-growth AI marketing technology platform.

About the role

You will lead the development of the machine learning backbone for an advanced platform. You’ll architect NLP models and search algorithms to help brands optimize their presence in the next generation of discovery engines. This is a hands-on role building production-grade LLM applications, retrieval systems, and ranking models at scale.

Location: New York, USA

Why this role is remarkable

• Work at the intersection of LLMs, search, and brand discovery within a fast-moving, technical environment.
• Join a well-funded, Series B startup backed by premier Tier-1 venture capital firms during a period of hyper-growth.
• High-impact technical leadership role where you influence core architecture and ship production systems that define a new category.

Responsibilities

• Architect and deploy production-grade NLP and search systems that analyze and optimize content for AI-driven discovery engines.
• Build and scale advanced LLM-based applications including RAG systems, autonomous agents, and fine-tuning pipelines at production scale.
• Partner with product and engineering teams to identify ML opportunities and own the infrastructure from experimentation to serving.

Requirements

• 5+ years of experience building and scaling production ML systems with a focus on NLP, search, or recommendation engines.
• Hands-on expertise with LLMs, prompt engineering, and modern ML infrastructure for monitoring, serving, and experiment tracking.
• Proven ability to drive technical strategy and influence engineering practices through high-quality code and architectural leadership.

Pay

$200k–$300k + Equity