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Senior Nlp Research Scientist Jobs (NOW HIRING)

Yakamconsulting

$120 - $190/hr

As a Senior NLP and LLM Data Scientist, you will be a key player in designing, implementing, and ... Lead and contribute to research and development projects related to language understanding and ...

Hirevouch

Senior AI Research Scientist (NLP)

Senior AI Research Scientist COMPANY OVERVIEW Every year, supply chain disruptions cause estimated ... Continuously research and apply the latest techniques in NLP to supply chain problems.

AIToolboard

$150 - $190/hr

Jobs / Senior AI Research Scientist - Natural Language Processing Senior AI Research Scientist ... Design, develop, and implement novel NLP algorithms and machine learning models. * Collaborate with ...

IPsoft

NLP R&D Scientist

New York, NY

Whether from published research or their own approaches, our scientists identify and integrate the ... senior management, both verbally and in writing. You should be comfortable defining delivery ...

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 ...

Sourceability

Principal NLP Scientist

Austin, TX · On-site

The Principal NLP Scientist is a senior technical leader responsible for designing, researching, and improving advanced Natural Language Processing and Large Language Model capabilities for ...

Collate

AI Research Scientist

San Francisco, CA · On-site

Strong background in machine learning, NLP, or related fields, with publications or equivalent ... Senior Research Scientist: $188-275K; Staff Research Scientist: $228-310K; Principal Research ...

Collate

AI Research Scientist

San Francisco, CA

Strong background in machine learning, NLP, or related fields, with publications or equivalent ... Senior Research Scientist: $188-275K; Staff Research Scientist: $228-310K; Principal Research ...

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How much do senior nlp research scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for senior nlp research scientist in the United States is $112,254.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $125,500.00 per year, depending on experience, location, and employer.

What is a senior NLP research scientist?

Senior NLP Research Scientists are advanced professionals who specialize in developing and improving natural language processing (NLP) models and technologies. They lead research projects, design experiments, and often publish findings in academic or industry journals. These scientists typically have expertise in machine learning, linguistics, and programming, and they mentor junior researchers. Their work enables advancements in areas like language understanding, translation, and conversational AI.

What are the key skills and qualifications needed to thrive as a senior NLP research scientist?

To thrive as a Senior NLP Research Scientist, you need advanced expertise in natural language processing, machine learning, and deep learning, supported by a PhD or equivalent experience in computer science or a related field. Mastery of programming languages like Python, familiarity with ML frameworks (e.g., TensorFlow, PyTorch), and experience with large-scale data processing systems are typically required. Strong problem-solving skills, creativity, and effective communication are vital for collaborating across multidisciplinary teams and publishing impactful research. These skills and qualities are crucial for driving innovation, advancing NLP technologies, and translating research into real-world applications.

What are some typical challenges senior NLP research scientists face when transitioning from academia to industry roles?

Senior NLP Research Scientists moving from academia to industry often encounter challenges such as adapting to faster project timelines, aligning research goals with business objectives, and working within multidisciplinary teams. Unlike academia, industry projects typically require more frequent collaboration with product managers, engineers, and stakeholders to ensure research outputs are practical and aligned with company needs. Additionally, there is a greater emphasis on scalability, data privacy, and deploying models in real-world applications, requiring scientists to broaden their skillsets beyond pure research.
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Senior Nlp Research Scientist jobs near you
Infographic showing various Senior Nlp Research Scientist job openings in the United States as of August 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 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $112,254 per year, or $54 per hour.

Senior NLP Research Engineer - Artificial Intelligence

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

11th of 247 rated software companies

Job description

Senior NLP Research Engineer - Artificial Intelligence
Location
New York
Business Area
Engineering and CTO
Ref #
10049310
Description & Requirements
Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
We are looking for Senior NLP Engineers with a strong expertise and passion for Natural Language Processing research and applications to join our team.
Natural Language Processing (NLP) methods are used to process collections of unstructured and semi-structured texts in order to extract semantic meaning, enhance the quality of the data and derive actionable insights and analytics.
Broad areas of applications and interest include: information extraction, entity recognition and disambiguation, topic classification, sentiment analysis, text analytics, summarization, event detection, conversation mining, dialogue systems, semantic parsing, question answering or sentence representations.
You'll have the opportunity to:
  • Collaborate with colleagues on production systems and write, test, and maintain production quality code
  • Design, train, experiment, and evaluate NLP models, algorithms and solutions
  • Demonstrate technical leadership by owning cross-team projects
  • Stay current with the latest research in NLP and incorporate new findings into our models and methodologies
  • Represent Bloomberg at scientific and industry conference and in open-source communities
  • Publish product and research findings in documentation, whitepapers or publications to leading academic venues

You'll need to have:
  • Practical experience with Natural Language Processing problems, and a familiarity with Machine Learning, Deep Learning and Statistical Modeling techniques
  • Ph.D. in ML, NLP or a relevant field and 2+ years of relevant work experience or MSc in CS, ML, Math, Statistics, Engineering, or related fields and 5+ years of relevant work experience
  • An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving
  • Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders.
  • A track record of authoring publications in top conferences and journals is a strong plus
  • Experience with deep learning frameworks such as PyTorch
  • Proficiency in software engineering

Salary Range = 165,000 - 260,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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