Machine Learning Engineer - LLM

Location: New York (Hybrid)

Compensation: $180,000 – $220,000 base salary + Equity

About the Company

We’re partnered with a cutting-edge software company that’s redefining how development teams build, maintain, and scale modern applications. As engineering workflows grow increasingly complex, their intelligent platform empowers teams by deploying AI agents that automate repetitive development tasks, streamline workflows, and enhance productivity. These AI-driven systems are already transforming the software development lifecycle in dynamic environments—and the company is now scaling rapidly to meet market demand.

The Role

As an Applied AI/NLP Scientist, you'll play a key role in designing and deploying advanced NLP and LLM-based solutions that accelerate and enhance software engineering workflows. Working directly with senior technical leadership, you’ll drive projects from early-stage research to production-ready implementations, with real impact on the development process.

Key Responsibilities

AI Model Innovation: Architect and implement domain-specific LLM/NLP models tailored to the needs of software engineering use cases—code generation, documentation automation, code review assistance, and more.
Research to Production: Lead end-to-end development of NLP/LLM solutions, from proof-of-concept to scalable production systems.
Model Optimization: Improve model efficiency and output through fine-tuning, prompt engineering, RAG (retrieval-augmented generation), and inference techniques.
Cross-Functional Collaboration: Work alongside product managers, developers, and leadership to ensure AI capabilities align with platform strategy and user needs.
Thought Leadership: Help shape best practices around applied NLP/LLM development, contribute to internal innovation, and author papers or patents where applicable.
Mentorship: Provide guidance and mentorship to junior ML researchers and engineers.

Your Skills and Experience

We're looking for a hands-on NLP expert with a passion for building tools that empower developers:

2–8 years of experience in applied NLP or LLM-focused system development.
Proven track record building and deploying NLP/LLM solutions in production.
Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace, spaCy).
Experience working with large, unstructured code and text datasets.
Background in applied research with an ability to bring experimental models into real-world systems.
Deep understanding of transformer-based architectures, prompt tuning, fine-tuning, and retrieval-augmented methods.
Strong communication skills and comfort working in fast-paced, ownership-driven environments.
Advanced degree (PhD or Master’s) in Computer Science, AI, NLP, or a related field (PhD preferred).
Bonus: Publications in top-tier AI/ML/NLP venues (e.g., NeurIPS, ACL, ICLR, EMNLP).

The Benefits

Competitive Pay: $180,000 – $220,000 base + performance bonus + equity
Innovation Ownership: Contribute directly to product innovation and IP
Comprehensive Benefits: Health, dental, vision, 401(k), generous PTO, and more

How to Apply

To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page.

Machine Learning Engineer - LLM

Job Type