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NLP Research Engineer

Harnham

New York (NY)

Remote

USD 200,000 - 240,000

Full time

4 days ago
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Job summary

A pioneering financial services organization is seeking an NLP Research Engineer to develop advanced natural language processing solutions. This role involves innovating AI models, optimizing performance, and collaborating with cross-functional teams, offering a competitive salary and comprehensive benefits in a fully remote setting.

Benefits

Health insurance
Dental insurance
Vision insurance
401(k)
Generous PTO
Performance bonus

Qualifications

  • 5–8 years of professional experience in applied NLP or LLM-based system development.
  • Strong foundation in building and deploying NLP models in production settings.
  • Demonstrated experience scaling models across large, unstructured datasets.

Responsibilities

  • Design and implement novel NLP and LLM architectures tailored for legal and financial datasets.
  • Own projects from prototyping through production, leading 0-to-1 development of scalable NLP systems.
  • Enhance model performance through fine-tuning and optimization.

Skills

NLP
LLM
Python
Machine Learning
Communication

Education

PhD or Master’s degree in Computer Science, AI, or Computational Linguistics

Tools

PyTorch
TensorFlow
HuggingFace
spaCy

Job description

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This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200,000.00/yr - $240,000.00/yr

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Building AI/ML & Data/Software Engineering Teams Across The US

NLP Research Engineer

Location: Fully Remote

Compensation: $200,000 – $240,000 base salary + performance bonus + comprehensive benefits

About the Company:

We are working with a pioneering financial services organization operating at the intersection of law and AI innovation. This company is redefining how AI technologies support legal and financial professionals—driving efficiency, insight, and scale in a highly regulated industry. As they expand, they’re investing heavily in cutting-edge NLP and LLM research to power their next generation of AI products. This is a rare opportunity to contribute to AI innovation with tangible, real-world impact.

THE ROLE

As an NLP Research Engineer, you will be central to developing and deploying advanced natural language processing solutions that tackle complex challenges in the legal-financial domain. Reporting into senior technical leadership, your work will span early-stage research through production-grade implementation.

Key Responsibilities:

  • AI Model Innovation: Design and implement novel NLP and LLM architectures tailored for domain-specific applications across legal and financial datasets.
  • Research to Production: Own projects from prototyping through production, leading 0-to-1 development of scalable NLP systems.
  • Model Optimization: Enhance model performance through fine-tuning, prompt engineering, retrieval augmentation, and inference optimization.
  • Cross-Functional Collaboration: Work closely with product, engineering, and executive teams to align AI capabilities with strategic goals.
  • Thought Leadership: Help shape internal best practices in applied NLP/LLM development, and contribute to research papers and IP generation.
  • Mentorship & Guidance: Provide technical insight and mentorship to junior researchers and engineers.

YOUR SKILLS AND EXPERIENCE

We’re seeking an experienced, hands-on NLP practitioner with a deep understanding of AI system development:

  • 5–8 years of professional experience in applied NLP or LLM-based system development.
  • Strong foundation in building and deploying NLP models in production settings.
  • Proficiency with Python and modern ML/NLP frameworks (e.g., PyTorch, TensorFlow, HuggingFace, spaCy, etc.).
  • Demonstrated experience scaling models across large, unstructured datasets.
  • Applied research background with a proven track record of translating research into real-world tools and platforms.
  • Deep understanding of LLM architectures, fine-tuning, prompt engineering, and retrieval-augmented generation (RAG).
  • Excellent communication skills and comfort working in agile, high-ownership environments.
  • PhD or Master’s degree in Computer Science, AI, Computational Linguistics, or related field (PhD preferred).
  • Publication record in respected AI/NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICLR) is highly desirable.

THE BENEFITS

  • Competitive Compensation: Base salary of $200,000 – $240,000 + performance bonus
  • Innovation Ownership: Drive the development of novel NLP applications and contribute to IP
  • Remote Flexibility: Work from anywhere in the U.S.
  • Full 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.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Analyst and Research
  • Industries
    Financial Services and Research Services

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Vision insurance

401(k)

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