Lead ML Engineer: NLP/LLM Systems (Hybrid, Equity)

ASAPP; New York (NY); On-site; USD 170,000 - 190,000; Full time

Benefits offered by this job

Stock options

Medical + Vision + Dental

401k matching

Wellness stipend

Mental health support

Job summary

ASAPP in New York City is seeking a Machine Learning Engineer to help build and evaluate the core intelligence behind our agentic AI systems. You’ll design evaluation frameworks and turn research ideas into production-grade ML solutions that scale for customers.

You’ll collaborate with Research, Product, and Platform teams, mentor junior engineers, and stay at the forefront of NLP, LLMs, and AI systems. Hybrid work requires 10–12 days in office monthly to balance collaboration with flexibility.

Qualifications

• NLP and ML systems expertise with LLM/agentic experience.
• Production-grade Python, AWS, Kubernetes, and Docker experience.
• Bachelor’s degree in CS or related field.
• Ability to mentor junior engineers and drive best practices.

Responsibilities

• Design and build ML evaluation systems for agentic/LLM architectures.
• Translate research ideas into production-grade ML systems with measurable impact.
• Collaborate with Research, Product, and Platform teams to productize experiments.
• Mentor engineers and support design reviews and knowledge sharing.
• Stay current with ML/NLP/LLM advancements and contribute to technical discussions.

Skills

NLP

LLM systems

Production-grade ML

Python

AWS

Kubernetes

Docker

Mentorship

Education

Bachelor’s Degree in CS

Tools

Docker

Kubernetes

AWS

CI/CD

Kafka

Athena

Job description

ASAPP in New York City is seeking a Machine Learning Engineer to help build and evaluate the core intelligence behind our agentic AI systems. You’ll design evaluation frameworks and turn research ideas into production-grade ML solutions that scale for customers.

You’ll collaborate with Research, Product, and Platform teams, mentor junior engineers, and stay at the forefront of NLP, LLMs, and AI systems. Hybrid work requires 10–12 days in office monthly to balance collaboration with flexibility.