Machine Learning Engineer (AI)

TL;DR

Machine Learning Engineer (NLP/LLM): Building and deploying production-grade ML systems to extract actionable insights from complex legal and financial data with an accent on NLP, LLMs, and structured data extraction. Focus on designing scalable ML pipelines, creating robust evaluation frameworks, and productionizing models for sensitive data environments.

Location: Hybrid (New York, NY)

Salary: $187,000 – $270,000

Company

A high-growth AI startup building advanced machine learning systems to solve complex NLP challenges within the global capital markets ecosystem.

What you will do

• Build and deploy NLP systems to process complex legal language.
• Develop scalable, production-ready ML pipelines with a focus on reliability and reproducibility.
• Design and implement LLM-based solutions for extraction, summarization, and analysis.
• Create and maintain robust evaluation frameworks to ensure model performance.
• Optimize models through feature engineering and algorithm selection.
• Collaborate cross-functionally with product, legal, and engineering teams.

Requirements

• MS or PhD in Computer Science, Machine Learning, or related field.
• 3+ years of production-level software engineering experience.
• Strong experience with NLP and modern LLM architectures.
• Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow).
• Experience building and deploying language models.
• Must be based in New York, NY (Hybrid).

Nice to have

• Background in legal, financial, or regulated industries.
• Familiarity with prompt engineering and few-shot learning.
• Experience in fast-paced, startup environments.

Culture & Benefits

• Competitive base salary with a meaningful equity package.
• Comprehensive medical, dental, and vision coverage.
• 401(k) plan, unlimited PTO, and sick days.
• Wellness and commuter benefits.
• Regular team offsites.