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Nlp Scientist Jobs (NOW HIRING)

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Senior AI Research Scientist (NLP)

MS or PHD degree in Computer Science, Data Science, Statistics or related. * Minimum of 5 years of hands-on experience in developing and implementing NLP algorithms and machine learning models.

Scismic

Senior Data Scientist - NLP/LLM Specialist

San Diego, CA

$155K - $240K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Mentor junior data scientists and provide technical guidance on NLP projects * Develop automated content analysis, document processing, and customer insight systems * Create scalable text analytics ...

Scismic

Senior Data Scientist - NLP/LLM Specialist

San Diego, CA · On-site

$155K - $240K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Mentor junior data scientists and provide technical guidance on NLP projects * Develop automated content analysis, document processing, and customer insight systems * Create scalable text analytics ...

Point72

NLP / AI Engineer

New York, NY

Bachelor, Master's or PhD graduate or candidate in computer science or another quantitative discipline * Experience in NLP, particularly LLMs. * Proficient in Python, SQL and general software ...

Point72

NLP / AI Engineer

New York, NY · On-site

Bachelor, Master's or PhD graduate or candidate in computer science or another quantitative discipline * Experience in NLP, particularly LLMs. * Proficient in Python, SQL and general software ...

UnitedHealth Group

NLP Engineer

San Diego, CA · Remote

$72K - $130K/yr

  • Retirement

The Sr NLP Engineer works closely with other NLP engineers, NLP developers, software engineers, and ... Degree in Linguistics, Computer Science, or other Computational discipline * Exposure to LLMs ...

UnitedHealth Group

NLP Engineer

San Diego, CA · On-site

$72K - $130K/yr

  • Retirement

The Sr NLP Engineer works closely with other NLP engineers, NLP developers, software engineers, and ... Degree in Linguistics, Computer Science, or other Computational discipline * Exposure to LLMs ...

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Nlp Scientist information

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$37.5K

$122.7K

$196.5K

How much do nlp scientist jobs pay per year?

As of Aug 12, 2026, the average yearly pay for nlp scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an NLP Scientist?

To thrive as an NLP Scientist, you need expertise in machine learning, deep learning, linguistics, and strong programming skills—often supported by an advanced degree in computer science or related fields. Familiarity with frameworks such as TensorFlow or PyTorch, and tools like spaCy or NLTK, as well as experience with cloud platforms and version control systems, is highly valuable. Strong problem-solving, collaboration, and clear communication skills help you to work effectively within interdisciplinary teams and present complex ideas. These abilities are essential for innovating NLP solutions that address real-world language challenges and driving impactful results.

What are some typical projects or tasks an NLP Scientist works on within a company?

As an NLP Scientist, you may work on a variety of tasks, such as developing and refining natural language understanding models for chatbots, information extraction, sentiment analysis, or machine translation systems. Your daily work often involves preprocessing large text datasets, designing and training new algorithms, conducting experiments, and evaluating model performance. You will likely collaborate closely with software engineers, data scientists, and product managers to integrate your models into products or pipelines. This role offers exposure to cutting-edge research as well as practical application, providing both technical challenges and opportunities to see your innovations make a tangible impact.

How much do NLP research scientists make?

NLP research scientists typically earn a median salary ranging from $90,000 to $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in deep learning and large language models can earn higher salaries, often exceeding $180,000.

What does an NLP Scientist do?

An NLP Scientist develops algorithms and models to enable machines to understand, interpret, and generate human language. They work with large datasets, leveraging techniques in linguistics, machine learning, and deep learning to improve natural language processing tasks such as text classification, sentiment analysis, and machine translation. Their role often involves research, experimentation, and collaboration with engineers and product teams to deploy NLP solutions in real-world applications.

Does NLP Scientist pay well?

NLP Scientists typically earn competitive salaries that vary based on experience, education, and location. In general, they tend to have higher-than-average tech salaries due to specialized skills in machine learning, deep learning, and natural language processing tools like Python and TensorFlow.
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What cities are hiring for Nlp Scientist jobs? Cities with the most Nlp Scientist job openings:
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Nlp Scientist jobs near you
Infographic showing various Nlp Scientist job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 7% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Data Scientist (NLP and GenAI Specialist)

Morgan Stanley

Irving, TX • On-site

Full-time

Re-posted 10 days ago

Morgan Stanley rating

8.4

Company rating: 8.4 out of 10

Based on 155 frontline employees who took The Breakroom Quiz

30th of 150 rated financial services

Job description

Job Summary:
Morgan Stanley is a global leader in financial services, and they are seeking a Senior Data Scientist (NLP Specialist) to join their Non-Financial Risk team. This role involves developing and deploying advanced AI models using NLP and Machine Learning to enhance surveillance and compliance monitoring.
Responsibilities:
• Design high-performance systems leveraging cutting-edge techniques including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Agentic AI architecture, and knowledge graph analytics.
• Create GenAI-based solutions to automate manual tasks and drive cost efficiency.
• Conduct research to identify novel methods for enhancing analytical solutions.
• Lead and develop junior data scientists to achieve key business objectives
• Collaborate with Compliance, Legal, Financial Crimes, and IT stakeholders to champion the adoption of new AI/ML/NLP approaches, techniques and capabilities
• Champion innovative approaches to improve detection of suspicious activity.
Qualifications:
Required:
• Master's or PhD degree in Computer Science, Machine Learning, Intelligent Systems, Statistics, Mathematics, Engineering or other highly quantitative fields
• 10+ years of hands-on industry experience in building AI/ML/NLP solutions and applied statistical analysis to solve complex business problems
• Knowledge of software design and system principles and excellent skills in either Python (preferred) or Java
• Experience with AI/ML/NLP software packages such as LangChain, LangGraph, Semantic Kernel, CrewAI, OpenAI SDK, PyTorch, HuggingFace, etc.
• Experience in adhering to Software Development Life Cycle (SDLC) principles include GIT related operations
• Strong problem solving and time management skills
• Excellent written and oral communication skills
• Familiarity with financial markets, especially in Compliance, Non-Financial Risk, and Fraud analytics
• Experience with benchmark creation and evaluation including LLM-as-a-Judge based techniques
• Knowledge of Vector Stores, Linux, SPARQL, and Graph Databases
Company:
Morgan Stanley is a financial services institution that delivers capital management, investment banking, and advisory solutions. Founded in 1935, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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