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Nlp Research Scientist Jobs (NOW HIRING)

IPsoft

NLP R&D Scientist

New York, NY

Whether from published research or their own approaches, our scientists identify and integrate the best science available - all to create the best new NLP capability possible. We are looking for a ...

Sourceability

Principal NLP Scientist

Austin, TX

This role combines applied research, hands-on model development, technical architecture, and practical product impact. The Principal NLP Scientist will lead the design of NLP solutions for named ...

Collate

AI Research Scientist

San Francisco, CA · On-site

Strong background in machine learning, NLP, or related fields, with publications or equivalent ... Motivation to apply AI research in Life sciences , where rigor, safety, and impact matter deeply.

Collate

AI Research Scientist

San Francisco, CA

Strong background in machine learning, NLP, or related fields, with publications or equivalent ... Motivation to apply AI research in Life sciences , where rigor, safety, and impact matter deeply.

MindSource

Research Scientist

Seattle, WA · Remote

Research Scientist Location: Seattle, WA (Remote) Duration: 12 months contract with possible of ... NLP). Familiarity with software engineering principles (unit tests, CI/CD, version control etc.

MindSource

Research Scientist

Seattle, WA · Remote

Research Scientist Location: Seattle, WA (Remote) Duration: 12 months contract with possible of ... NLP). Familiarity with software engineering principles (unit tests, CI/CD, version control etc.

Hirevouch

Senior AI Research Scientist (NLP)

Senior AI Research Scientist COMPANY OVERVIEW Every year, supply chain disruptions cause estimated ... Continuously research and apply the latest techniques in NLP to supply chain problems.

Point72

NLP / AI Engineer

New York, NY

... research philosophy and direct portfolio impact. Requirements: * Bachelor, Master's or PhD graduate or candidate in computer science or another quantitative discipline * Experience in NLP ...

UL Research Institutes

Lead Research Scientist in AI

This role leads research in NLP and LLM safety including literature surveys, experimental design ... The Lead Research Scientist establishes research concepts and criteria to resolve major problems in ...

MindSource

Research Scientist

Seattle, WA · On-site

MindSource is looking for a Research Scientist to design and implement processes for evaluating and ... NLP). • Familiarity with software engineering principles (unit tests, CI/CD, version control etc ...

GroupSolver

Machine Learning Research Scientist

They are seeking a Machine Learning Research Scientist to work on developing state-of-the-art NLP models to enhance market research practices. Responsibilities : • Research and development: work ...

Point72

NLP / AI Engineer

New York, NY · On-site

... research philosophy and direct portfolio impact. Requirements: * Bachelor, Master's or PhD graduate or candidate in computer science or another quantitative discipline * Experience in NLP ...

NTENT

Research Scientist

Carlsbad, CA · On-site

Research Scientist Position: Full time Location: Carlsbad office About Us: NTENT provides a ... Broad experience on with various applications of NLP (part-of-speech tagging, dependency parsing ...

NTENT

Research Scientist

Carlsbad, CA · On-site

Research Scientist Position: Full time Location: Carlsbad office About Us: NTENT provides a ... Broad experience on with various applications of NLP (part-of-speech tagging, dependency parsing ...

1872 Consulting

NLP Developer

Herndon, VA · On-site

... NLP research into production models. • Provide insight into methods that use NLP to further ... Required : • 5+ years of hands-on experience as a machine learning engineer or data scientist ...

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Nlp Research Scientist information

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How much do nlp research scientist jobs pay per year?

As of Aug 31, 2026, the average yearly pay for nlp research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is an NLP research scientist?

An NLP Research Scientist develops and improves natural language processing (NLP) models to enable machines to understand, interpret, and generate human language. They conduct research, design algorithms, and experiment with deep learning techniques to enhance language-based AI applications. Their work often involves tasks like speech recognition, sentiment analysis, machine translation, and chatbot development. NLP Research Scientists typically collaborate with engineers and data scientists to bring cutting-edge language models to real-world applications.

What are some typical projects or challenges that NLP research scientists work on?

NLP Research Scientists often work on projects that involve developing and improving algorithms for text understanding, language generation, information extraction, or sentiment analysis. Common challenges include handling ambiguous or noisy input data, optimizing model performance at scale, and adapting models to new domains or languages. You may collaborate with engineering teams to deploy models in production or partner with product teams to address user needs. This position offers opportunities to work with real-world datasets, publish research, and contribute to advancing state-of-the-art technology in natural language processing.

What are the key skills and qualifications needed to thrive in the NLP research scientist position, and why are they important?

To thrive as an NLP Research Scientist, a strong background in machine learning, deep learning, linguistics, and programming (often with a PhD or equivalent experience in computer science or related fields) is essential. Familiarity with development tools such as Python, TensorFlow, PyTorch, and experience with large-scale language models and natural language processing libraries are highly valued. Critical thinking, problem-solving, effective communication, and collaborative skills are important soft skills in this field. These capabilities are crucial for driving innovation, working effectively in interdisciplinary teams, and delivering real-world NLP solutions.

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Nlp Research Scientist jobs near you
Infographic showing various Nlp Research Scientist job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Research Scientist - NLP

Institute of Foundation Models

Sunnyvale, CA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

Job description

About the Institute of Foundation Models
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.



The Role
As a Research Scientist specializing in Natural Language Processing (NLP) with a focus on large language models and deep learning, your role will be crucial in advancing cutting-edge language processing technologies and contributing to the development of intelligent systems. You will be responsible for a wide range of tasks encompassing research, development, and implementation of NLP solutions, with a particular emphasis on Python coding, machine learning techniques, and deep learning methodologies.
Key Responsibilities
  • Lead the research of technology for improving the efficiency of Large Language Model (LLM) while performing target capabilities or supporting many capabilities, such as novel architectures and improved pre-training.
 
  • Design and implement NLP algorithms for model training and prediction, leverage ML infrastructure, and contribute to model optimization and data processing, using Pytorch or other frameworks.
 
  • Integrate and improve LLM algorithms to work with other models such as computer vision models
 
  • Identify defined problems/gaps in existing technology and engage other Research teams, stakeholders and leaders to expand efficient LLM technology.
 
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies.
 
  • Write up results in design documents, technical reports, and papers for publication.
 
  • Represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation.
 
  • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.
Academic Qualifications
  • Minimum: Master’s in Computer Science, a related technical field, or equivalent practical experience
 
  • Preferred: PhD or equivalent research experience in Natural Language Processing
 
Professional Experience - Minimum
  • Experience with state-of-the-art Gen AI techniques and models (e.g., LLMs, Multi-Modal, Large Vision Models) or with Gen AI-related concepts (e.g., language modeling, computer vision).
 
  • Experience with software development in one or more programming languages (e.g. Python, C++), and with data structures/algorithms.
 
  • Excellent problem-solving and troubleshooting skills to address complex technical challenges.
 
  • Effective communication and collaboration skills to work with cross functional teams.
 
  • Ability to effectively navigate ambiguity.
Professional Experience - Preferred
  • Experience leading research efforts and influencing other researchers.
 
  • Experience with efficiency, modularity or related topics for LLMs.
 
  • Experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
 
  • Experience with design and optimization of algorithms in performance constrained environments (e.g., mobile).
 
  • Experience in innovative research, contributing to research communities including publishing in forums (e.g., ACL, EMNLP, NAACL, EACL, COLING, ICLR, AAAI, NeurIPS).
Salary depends on level.
Visa Sponsorship
This position is eligible for visa sponsorship.

Benefits Include
*Comprehensive medical, dental, and vision benefits 
 *Bonus
*401K Plan
*Generous paid time off, sick leave and holidays
*Paid Parental Leave
*Employee Assistance Program
*Life insurance and disability