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Nlp Research Scientist Jobs (NOW HIRING)

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:

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:

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 ...

Research Scientist

$250K - $285K/yr

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

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 ...

... 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 ...

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 ...

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 Aug 8, 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 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:
Infographic showing various Nlp Research Scientist job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Data Scientist - NLP / Generative AI

AIToolboard

Arlington, VA • On-site

$150 - $190/hr

Other

Medical, Dental, Vision, Retirement

Posted 3 days ago

New


Job description

Jobs / Data Scientist - NLP / Generative AI

Data Scientist - NLP / Generative AI

Full-time

About the Role

Data Scientist – NLP / Generative AILocation: Hybrid – Arlington, VirginiaEmployment Type: Full-timeBizFirst is assisting our client with the hiring of a Data Scientist specializing in natural language processing and generative AI to help the organization move from early experimentation into production-ready AI capabilities. This is a hands-on research and engineering role where you will own the design and delivery of NLP and GenAI solutions applied directly to the client’s most complex internal workflows.Our client is a mid-market professional services organization that is actively rethinking how it designs and executes its core business operations through artificial intelligence and automation. The company is building a dedicated AI capability to embed machine learning and generative AI into its most critical internal workflows – from decision support and process automation to real-time analytics and intelligent document processing.What will you doThe ideal candidate brings 5–8 years of applied data science experience with a deep specialization in NLP and a working command of modern generative AI techniques. You have built production NLP systems, worked with transformer-based architectures, and have direct experience with large language models – including fine-tuning, prompt engineering, and retrieval-augmented generation (RAG). You are comfortable moving between research and engineering as the work demands.

Responsibilities
  • Design and build NLP and generative AI solutions applied to internal business processes, including document understanding, classification, summarization, and conversational AI.
  • Develop, fine-tune, and evaluate large language models and transformer-based architectures for domain-specific applications.
  • Build and iterate on retrieval-augmented generation (RAG) systems, embedding pipelines, and vector search infrastructure.
  • Work closely with business and operations stakeholders to scope problems, define evaluation criteria, and validate model outputs against real-world requirements.
  • Analyze and interpret model behavior, identify failure modes, and develop mitigation strategies to ensure reliable, responsible outputs.
  • Collaborate with ML engineers and platform teams to move experiments into production pipelines.
  • Document experimental methodology, data lineage, and model evaluations to support reproducibility and knowledge sharing.
  • Stay current on developments in NLP research and GenAI tooling, bringing relevant advances into the team’s work quickly.
Requirements
  • US Citizen or Permanent Resident authorized to work in the United States.
  • Experience: 5–8 years of applied data science experience with a strong focus on natural language processing and text-based systems.
  • NLP & GenAI: Hands-on experience with transformer architectures (BERT, GPT, T5, or similar), fine-tuning workflows, and production deployment of language models.
  • RAG & Embeddings: Direct experience building retrieval-augmented generation pipelines, vector databases (Pinecone, Weaviate, FAISS, or equivalent), and semantic search systems.
  • Programming: Strong Python skills; proficiency with HuggingFace Transformers, LangChain, or similar GenAI tooling.
  • Evaluation: Experience designing rigorous evaluation frameworks for generative models, including human evaluation, LLM-as-judge approaches, and automated benchmarking.
  • Preferred: Experience applying NLP in a professional services, legal, finance, or consulting domain.
  • Familiarity with responsible AI practices, including bias assessment, output auditing, and hallucination mitigation.
  • Background in information extraction, named entity recognition (NER), or document intelligence.
  • Experience with cloud-based GenAI services (OpenAI API, Anthropic API, AWS Bedrock, Azure OpenAI, or GCP Vertex AI).
  • Graduate degree (MS or PhD) in Computer Science, Computational Linguistics, Statistics, or a related field.
Benefits
  • Family Health Care (54% cost covered for the entire family)
  • Family Dental (54% cost covered for the entire family)
  • Family Vision (54% cost covered for the entire family)
  • Flexible Spending Account
  • Performance bonuses tied to project and delivery milestones
  • Lifetime Event Bonuses (e.g., new child, marriage)
  • Profit-sharing arrangement for any work brought into the company
  • Unlimited Leave with Approval
  • 401k – 100% employer match on first 4% invested
  • $1,500 annual training and conference budget

Job Type: Full-time, Permanent Position

Work Authorization:US Citizen or Permanent Resident; no active security clearance required.

Schedule:Monday to Friday

Work Location:Hybrid – Arlington, Virginia

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