Senior Machine Learning Engineer

Harnham; New York (NY); Hybrid; USD 200,000 - 250,000; Full time

Benefits offered by this job

Competitive Pay

Performance bonus

Equity

Health, dental, vision benefits

Generous PTO

Job summary

A cutting-edge software company in New York seeks an Applied AI/NLP Scientist to enhance software engineering workflows with advanced NLP solutions. The ideal candidate possesses extensive NLP experience and a strong background in developing and deploying LLM models into production. The role includes leading innovative projects and mentoring junior researchers. Competitive compensation and comprehensive benefits are offered, including equity and performance bonuses.

Qualifications

• 2–8 years of experience in applied NLP or LLM‑focused system development.
• Proven track record in deploying NLP/LLM solutions in production.
• Deep understanding of transformer architectures and retrieval‑augmented methods.

Responsibilities

• Design and deploy NLP and LLM solutions for software engineering.
• Lead end‑to‑end development of NLP/LLM solutions.
• Collaborate with product managers and developers.

Skills

NLP expertise

Python

Machine Learning frameworks (PyTorch, TensorFlow, HuggingFace, spaCy)

Experience with large datasets

Transformer-based architectures

Communication skills

Education

PhD or Master’s in Computer Science, AI, NLP

Job description

Base Pay Range

$180,000.00/yr - $220,000.00/yr

Location

New York (Hybrid)

Compensation

$180,000 – $250,000 base salary + Equity

About the Company

We’re partnered with a cutting‑edge software company redefining how development teams build, maintain, and scale modern applications. Our intelligent platform deploys AI agents that automate repetitive development tasks, streamline workflows, and enhance productivity, transforming the software development lifecycle in dynamic environments.

The Role

As an Applied AI/NLP Scientist, you will design and deploy advanced NLP and LLM‑based solutions to accelerate and enhance software engineering workflows. Working directly with senior technical leadership, you’ll drive projects from early‑stage research to production‑ready implementations.

Key Responsibilities

• AI Model Innovation: Architect and implement domain‑specific LLM/NLP models for 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, retrieval‑augmented generation, and inference techniques.
• Cross‑Functional Collaboration: Work with product managers, developers, and leadership to ensure AI capabilities align with platform strategy and user needs.
• Thought Leadership: Shape best practices around applied NLP/LLM development and contribute to internal innovation.
• Mentorship: Provide guidance and mentorship to junior ML researchers and engineers.

Your Skills and Experience

We’re looking for a hands‑on NLP expert passionate about 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 (PyTorch, TensorFlow, HuggingFace, spaCy).
• Experience working with large, unstructured code and text datasets.
• Background in applied research with the 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 (NeurIPS, ACL, ICLR, EMNLP).

Benefits

• Competitive Pay: $200,000 – $250,000 base + performance bonus + equity.
• Innovation Ownership: Contribute directly to product innovation and intellectual property.
• 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.