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Nlp Scientist Jobs (NOW HIRING)

Brilent

Senior NLP Scientist/Engineer

San Mateo, CA · On-site

Company Description Brilent is a data science tech company developing a SaaS solution to help ... mining, NLP processing, and machine learning Qualifications • Extensive experiences in NLP ...

Axle

Data Science Fellow - AI/NLP

Rockville, MD

The postdoc will work at the intersection of large language models, biomedical NLP, scientific document understanding, knowledge graphs, ontology grounding, computational biology, and human-in-the ...

Analytica

Data Scientist - NLP

Washington, DC · On-site +1

Master's degree required, and PhD preferred in Statistics, Mathematics, Computer Science, or similar * High degree of experience utilizing SAS, R, or Python to support NLP use cases such as Document ...

Analytica

Data Scientist - NLP

Washington, DC · Remote

Master's degree required, and PhD preferred in Statistics, Mathematics, Computer Science, or similar * High degree of experience utilizing SAS, R, or Python to support NLP use cases such as Document ...

Point72

NLP Engineer

New York, NY · On-site

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

Point72

NLP Engineer

New York, NY

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

IPsoft

NLP R&D Scientist

New York, NY

Company Description As we continue to expand our artificial intelligence platform, Amelia, we are looking for NLP experts to join our development team. We need great scientists who also are great ...

Hirevouch

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.

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How much do nlp scientist jobs pay per year?

As of Jul 2, 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 in the Nlp Scientist position, and why are they important?

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.

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.

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Nlp Scientist jobs near you
Infographic showing various Nlp Scientist job openings in the United States as of June 2026, with employment types broken down into 5% As Needed, 90% Full Time, and 5% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Senior NLP Scientist/Engineer

Senior NLP Scientist/Engineer

Brilent

San Mateo, CA • On-site

Full-time

Medical, Dental

Posted 19 days ago

Job description

Company Description
Brilent is a data science tech company developing a SaaS solution to help recruiters quickly and effectively identify the right talent to hire. The Brilent team brings together deep experience in machine learning, and data science from leading edge companies to solve the growing problem of leveraging big data to effectively identify and connect with the right talent. With the Brilent solution, pre-screening candidates take minutes as opposed to hours or days thus shortening the time-to-hire, and increasing the number of candidate placements.
WHY US?
Brilent is a well-funded, award winning startup located in the Silicon Valley. We are building the next-generation, big data talent platform that aims to revolutionize the hiring ecosystem around the world. Our team consists of machine learning and data science experts and recruiting veterans from leading edge companies such as Facebook, Microsoft and HP, and graduates of top-tier universities (University of Waterloo, CMU, University of Michigan, USC, etc.). We are looking for exceptional people to scale our business and build innovative products. Come join the revolution!
Job Description
Responsibilities
• Develop document/text parsing technologies and build them into Brilent's core recommendation engine
• Implement, evaluate and deploy advanced parsing and matching algorithms
• Work with backend engineers, and UI/UX designers and engineers to define product roadmap and feature specifications
• Stay current with the latest technological advances in text mining, NLP processing, and machine learning
Qualifications
• Extensive experiences in NLP processing including POS tagging, syntactic/semantic analysis, ambiguity resolution, named entity recognition, relation extraction, text classification, and discourse analysis
• Working knowledge and hands-on experience of parsing entities and their relations from text documents/corpus
• Strong machine learning background and experience of using ML techniques in NLP applications
• Strong programming skills in Java/C/C++/Python
• Proficient with relational database (e.g., MySQL) and knowledgeable in non-relational or graph databases
• Familiar with open-source or commercial text processing and/or NLP tools, such as Apache Lucene or Solr, Stanford CoreNLP, NLTK, Apache OpenNLP, or other natural language software packages for Parts of Speech tagging, ambiguity resolution, and syntactic parsing.
• Master's or PhD degree in linguistics or computational linguistics, or related degree in machine learning or Computer science
Additional Information
We offer competitive salaries, stock options, and full benefits, including health and dental coverage, all meals included, snacks, travel reimbursement, etc.

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