Harnham
Machine Learning Engineer, LLM (Applied AI/NLP)
Location:
New York (Hybrid)
Compensation:
$180K-$220K base + equity + bonus
About the Company Join a fast-growing AI startup transforming how development teams build and scale modern applications. Their intelligent platform uses LLMs to automate coding tasks, streamline workflows, and boost developer productivity.
The Role Lead the design and deployment of advanced NLP/LLM solutions that directly impact engineering workflows code generation, documentation, and review automation. Collaborate with senior leadership to take models from research to production.
Key Responsibilities
Build and fine-tune LLMs for developer-focused use cases
Optimize models using prompt engineering, RAG, and inference techniques
Collaborate across teams to align AI capabilities with product goals
Mentor junior ML engineers and contribute to internal innovation
What You’ll Bring
2-8 years in applied NLP/LLM development
Strong Python and ML stack (PyTorch, HuggingFace, etc.)
Experience with large code/text datasets and transformer models
Advanced degree in CS, AI, or NLP (PhD preferred)
Bonus: Publications in top-tier ML/NLP conferences
Why Join?
Competitive pay + equity + bonus
Direct impact on product innovation and IP
Full benefits: health, vision, dental, 401(k), generous PTO
How to Apply To explore this opportunity, please submit your resume to
Luc Simpson-Kent
using the
Apply
link on this page.
Desired Skills and Experience: Python, Machine Learning Frameworks, NLP Expertise, LLM Development, Data Handling
#J-18808-Ljbffr
New York (Hybrid)
Compensation:
$180K-$220K base + equity + bonus
About the Company Join a fast-growing AI startup transforming how development teams build and scale modern applications. Their intelligent platform uses LLMs to automate coding tasks, streamline workflows, and boost developer productivity.
The Role Lead the design and deployment of advanced NLP/LLM solutions that directly impact engineering workflows code generation, documentation, and review automation. Collaborate with senior leadership to take models from research to production.
Key Responsibilities
Build and fine-tune LLMs for developer-focused use cases
Optimize models using prompt engineering, RAG, and inference techniques
Collaborate across teams to align AI capabilities with product goals
Mentor junior ML engineers and contribute to internal innovation
What You’ll Bring
2-8 years in applied NLP/LLM development
Strong Python and ML stack (PyTorch, HuggingFace, etc.)
Experience with large code/text datasets and transformer models
Advanced degree in CS, AI, or NLP (PhD preferred)
Bonus: Publications in top-tier ML/NLP conferences
Why Join?
Competitive pay + equity + bonus
Direct impact on product innovation and IP
Full benefits: health, vision, dental, 401(k), generous PTO
How to Apply To explore this opportunity, please submit your resume to
Luc Simpson-Kent
using the
Apply
link on this page.
Desired Skills and Experience: Python, Machine Learning Frameworks, NLP Expertise, LLM Development, Data Handling
#J-18808-Ljbffr