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Nlp Scientist Jobs (NOW HIRING)

Machinify

Staff Data Scientist | NLP

$180K - $230K/yr

We're hiring a Data Scientist focused on natural language processing to build models that turn ... Design and train NLP models for tasks like classification, entity extraction, retrieval ...

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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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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.

Data Scientist (NLP and GenAI Specialist)

Socket.dev

Houston, TX • On-site

$180 - $240/hr

Other

Posted 7 days ago

Job description

We\'re seeking someone to join our team as a Data Scientist (NLP Specialist) in Non-Financial Risk to develop and deploy advanced AI models using NLP, Machine Learning, and quantitative techniques to improve surveillance and compliance monitoring.

In the Legal & Compliance division, we assist the Firm in achieving its business objectives by facilitating and overseeing the Firm\'s management of legal, regulatory, and franchise risk. This is a director level position within the NFR Data & Analytics team, which is responsible for designing and optimizing surveillance models and tools using advanced analytical techniques to help identify suspicious and/or illegal behaviors like money laundering, market manipulation, insider trading, unfair sales or trading practices and other financial crimes.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you\'ll do in the role:
  • 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.
  • Collaborate with stakeholders across Compliance, Legal, Financial Crimes, and IT to promote adoption of new AI/ML/NLP capabilities.
  • Champion innovative approaches to improve detection of suspicious activity.
What you\'ll bring to the role:
  • Master\'s or PhD degree in Computer Science, Machine Learning, Intelligent Systems, Statistics, Mathematics, Engineering or other highly quantitative fields
  • 5+ 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

Typically, 8+ years\' relevant experience would generally be expected to find the skills required for this role

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we\'ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren\'t just beliefs, they guide the decisions we make every day to do what\'s best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you\'ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There\'s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

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