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Nlp Research Scientist Jobs (NOW HIRING)

Meta

Research Scientist - Reality Labs

New York, NY

$184K/yr

Reality Labs at Meta is seeking a Research Scientist with deep expertise in Large Language Models ... Stay current with state-of-the-art advances in LLMs, NLP, and related fields Minimum Qualifications:

OpenRouter, Inc

Research Scientist

The Role As a Research Scientist, you will conduct deep, original research that advances how the ... Hands-on experience with modern ML/NLP techniques such as LLM evaluation, fine-tuning, embeddings ...

Lead Allies Inc.

Research Scientist

San Francisco, CA · On-site

Research Scientist / Machine Learning Scientist Location: SF Bay Area/Hybrid / Remote Type ... NLP, or AI evaluation • Comfortable working with real-world usage data and designing metrics ...

Snorkel AI

Research Scientist

Redwood City, CA · On-site +1

$200K - $350K/yr

As a Research Scientist at Snorkel AI, you will bridge the gap between cutting-edge research and ... Strong expertise in AI, NLP, multi-modal models, LLMs, and generative AI, with an emphasis on ...

Meta

Research Scientist - Reality Labs

New York, NY · On-site

$184K - $257K/yr

... LLMs, NLP, and related fields Minimum Qualifications • Bachelor's degree in Computer Science ... • 5+ years of research experience working autonomously on ML/NLP problems Preferred ...

Latent

Research Scientist

San Francisco, CA · On-site

$225K - $300K/yr

Research Scientist About Latent Health Healthcare today is only truly personalized for two groups ... Experience with LLMs, NLP, or sequence modeling * Experience with reinforcement learning or ...

Linkup

Research Scientist

New York, NY · On-site

About the role We're looking for a top‑tier Research Scientist to join our tech team. Your core ... Bring hands-on experience with LLMs, NLP, embeddings, or information retrieval systems * HNSW and ...

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NLP Research Scientist information

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$50.5K

$130.1K

$174K

How much do nlp research scientist jobs pay per year?

As of Jul 23, 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 job?

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 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.

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.

More about NLP Research Scientist jobs
What cities are hiring for Nlp Research Scientist jobs? Cities with the most Nlp Research Scientist job openings:
What are the most commonly searched types of Nlp Research Scientist jobs? The most popular types of Nlp Research Scientist jobs are:
What states have the most Nlp Research Scientist jobs? States with the most job openings for Nlp Research Scientist jobs include:
What job categories do people searching Nlp Research Scientist jobs look for? The top searched job categories for Nlp Research Scientist jobs are:
NLP Research Scientist jobs near you
Infographic showing various Nlp Research Scientist job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 43% As Needed, 45% Full Time, 1% Part Time, 2% Contract, and 8% Nights. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Research Scientist

Institute of Foundation Models

Sunnyvale, CA • On-site

$150K - $450K/yr

Full-time

Posted 10 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 with a focus on data-centric large language model (LLM) development, your role will center on advancing the frontiers of how LLMs reason, retrieve, and interact with external information sources. You will proactively identify, collect, and organize datasets that enable LLMs to perform complex reasoning tasks, while also developing scalable systems and tooling that integrate cutting-edge research with robust engineering. Your work will have a direct impact on the performance and reliability of intelligent systems at MBZUAI IFM.
Key Responsibilities
  • Lead research and implementation of reasoning-enhanced LLM capabilities through novel data collection, architecture design, and system integration.
  • Design and implement pipelines to collect, curate, and structure open-source and web-scale data relevant to reasoning tasks, ensuring scalability and reproducibility.
  • Build robust software to support fine-tuning, evaluation, and deployment of LLMs that interact with structured and unstructured knowledge bases.
  • Collaborate with ML researchers to create, test, and evaluate new approaches in information retrieval, agentic search, and RAG (retrieval-augmented generation) pipelines.
  • Rapidly prototype tools, APIs, and infrastructure for enabling LLMs to reason over external information, and build datasets for identifying and analyzing LLM failure modes.
  • Communicate research findings in internal documents and external publications (e.g., top-tier conferences like ACL, ICLR, NeurIPS).
  • Contribute to design/code reviews and foster engineering best practices in a high-performance research environment.
  • Represent MBZUAI at conferences and forums, promoting institutional leadership in safe, efficient, and high-impact AI systems.
  • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.
Academic Qualifications
  • Master’s in Computer Science, Data Science, or a related technical field, or equivalent practical experience required.
  • PhD or equivalent research experience in Machine Learning, NLP, or Data Science with a focus on reasoning and LLMs preferred.
Minimum Professional Experience
  • Experience working with large language models, including fine-tuning, prompt engineering, and multi-modal interaction.
  • Strong Python development skills with a focus on research-grade code and scalable data pipelines.
  • Familiarity with collecting and processing large-scale datasets from open-source and web resources.
  • Demonstrated ability to work with ML infrastructure (e.g., model evaluation, optimization, debugging).
  • Proactive mindset with the ability to identify impactful research questions and execute on them with minimal supervision.
  • Effective communication and collaboration skills for working in cross-functional teams.
Preferred Professional Experience
  • Experience designing and deploying agentic LLM systems, reasoning benchmarks, or RAG pipelines.
  • Background in building complex knowledge retrieval systems (e.g., knowledge graphs, semantic search, indexing).
  • Strong publication record in leading AI conferences (e.g., ICLR, ACL, NeurIPS, EMNLP).
  • Familiarity with performance constraints in production environments and the trade-offs in model and data design.
  • Prior contributions to open-source ML research or data tools.
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