Lead ML Engineer, NLP & LLM Production Systems

Asapp 2

New York (NY)

Hybrid

USD 140,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Stock options
Medical, vision, and dental insurance
401k matching
Fitness and wellness stipend
Mental well-being benefits
Professional learning and development
Parental leave

Job summary

ASAPP is seeking a machine learning engineer to design and build NLP models and production-grade ML systems that power agentic AI. You will work closely with Research, Product, and Platform teams to evaluate, iterate, and scale models in production.

Role requires deep NLP experience, hands-on ML engineering, and the ability to mentor peers while advancing scalable, robust AI solutions using Python, AWS, Kubernetes, and Docker.

Qualifications

  • Bachelor's degree in CS or related field.
  • Hands-on experience with NLP/LLMs or agentic systems.
  • Experience building production ML systems.
  • Strong Python programming skills.

Responsibilities

  • Design and develop 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 into AI solutions.
  • Stay current with ML/NLP/LLM advancements and contribute to technical discussions.
  • Mentor and support engineers, promoting best practices and architecture alignment.

Skills

NLP
ML evaluation
Agentic systems
Python
AWS
Kubernetes
Docker
Mentoring
System architecture
LLMs

Education

Bachelor's Degree in CS or related field

Tools

AWS
Kubernetes
Docker

Job description

ASAPP is seeking a machine learning engineer to design and build NLP models and production-grade ML systems that power agentic AI. You will work closely with Research, Product, and Platform teams to evaluate, iterate, and scale models in production.

Role requires deep NLP experience, hands-on ML engineering, and the ability to mentor peers while advancing scalable, robust AI solutions using Python, AWS, Kubernetes, and Docker.

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