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Nlp Research Jobs (NOW HIRING)

IPsoft

NLP R&D Scientist

New York, NY · On-site

Whether from published research or their own approaches, our scientists identify and integrate the best science available - all to create the best new NLP capability possible. We are looking for a ...

Point72

NLP / AI Engineer

New York, NY

We are seeking a NLP engineer for a NLP research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, open-source ...

Point72

NLP / AI Engineer

New York, NY · On-site

We are seeking a NLP engineer for a NLP research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, open-source ...

Sourceability

Principal NLP Scientist

Austin, TX

This role combines applied research, hands-on model development, technical architecture, and practical product impact. The Principal NLP Scientist will lead the design of NLP solutions for named ...

Cypress HCM

LLM Research Engineer

Mountain View, CA

$90 - $121.86/hr

Conduct research on cutting-edge techniques in natural language processing (NLP) and machine learning to improve model performance. * Explore advancements in transformer architectures, multi-modal ...

UL Research Institutes

AI Research Engineer - NLP

$98K - $135K/yr

As the AI Research Engineer, you will play a key role in the rapid growth of UL as you: * Studies incident reports implicating LLMs or NLP algorithms and hypothesize root causes. * Conducts ...

Point72

Quantitative Research Intern (NLP)

New York, NY · On-site

We are seeking a quant research intern to join an NLP quant team within Point72. We believe the significant advances in NLP methods show promise for finance. We develop and launch end-to-end signals ...

Verneek

Applied AI Researcher

New York, NY · On-site

$40K - $200K/yr

Good grasp of fundamentals and the state-of-the-art in AI/NLP research * 4+ years experience developing models with machine learning frameworks such as PyTorch * Work authorization in the USA at the ...

Verneek

Applied AI Researcher

New York, NY · On-site

$40K - $200K/yr

Good grasp of fundamentals and the state-of-the-art in AI/NLP research * 4+ years experience developing models with machine learning frameworks such as PyTorch * Work authorization in the USA at the ...

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Nlp Research information

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$50.5K

$130.1K

$174K

How much do nlp research jobs pay per year?

As of Jul 23, 2026, the average yearly pay for nlp research 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 job?

An NLP Research job involves developing and improving natural language processing models, algorithms, and techniques. Researchers in this field work on tasks such as language understanding, text generation, sentiment analysis, and machine translation. They often conduct experiments, analyze large datasets, and publish findings to advance the state of the art. This role typically requires expertise in machine learning, deep learning, and linguistics, along with proficiency in programming languages like Python.

What are the typical career growth opportunities for someone working in NLP Research?

Professionals in NLP Research often begin as research scientists or engineers and can progress to senior or lead research roles, team management, or specialized positions such as principal scientist. Many also transition into roles focused on product development, technical consulting, or academia, depending on their interests and achievements. The field is rapidly evolving, offering opportunities to contribute to published research, patent innovative technologies, and collaborate across disciplines. Pursuing advanced publications, presenting at conferences, and developing novel algorithms can further enhance career prospects within both industry and research institutions.

What are the key skills and qualifications needed to thrive in the Nlp Research position, and why are they important?

To excel in NLP Research, candidates typically need advanced expertise in machine learning, computational linguistics, and statistics, supported by a graduate degree in computer science, data science, or related fields. Familiarity with tools like Python, TensorFlow, PyTorch, and libraries such as NLTK or spaCy is essential, along with experience in deep learning and natural language processing frameworks. Strong problem-solving abilities, curiosity, and effective communication are important soft skills for sharing research findings and collaborating with diverse teams. These capabilities are vital for developing innovative NLP models and ensuring impactful contributions to cutting-edge projects.

More about Nlp Research jobs
What cities are hiring for Nlp Research jobs? Cities with the most Nlp Research job openings:
What are the most commonly searched types of Nlp Research jobs? The most popular types of Nlp Research jobs are:
What states have the most Nlp Research jobs? States with the most job openings for Nlp Research jobs include:
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Nlp Research jobs near you
Infographic showing various Nlp Research job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 43% As Needed, 45% Full Time, 1% Part Time, 2% Contract, and 8% Nights. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

NLP Research Scientist

OPPO US Research Center

Palo Alto, CA • On-site

Full-time

Posted 7 days ago

Job description

OPPO Research Center is seeking a passionate and innovative Research Scientist to advance our next-generation AI hardware platforms—including AI Glass/Earphone/etc.—through cutting-edge generative AI research. You will drive the design, training, and deployment of multimodal intelligence models that seamlessly integrate language, vision and action. As part of our collaborative team, you will co-design algorithms and hardware, translate research into real-world products, and publish at top-tier AI conferences.

Requirements

Key responsibilities:

  • Develop LLM model with parameter number around 1 billion, with special focus on developing innovative LLM architectures for long context memory, and in-context retrieve and generation
  • Develop synthetic data pipeline/creating real data pipeline for LLM training
  • Develop effective methods for benchmarking, e.g., LLM-As-Judge
  • Collaborate closely with hardware engineers, software developers, and product teams to integrate research prototypes into production systems
  • Publish research findings in premier AI conferences (e.g., ICLR, NeurIPS)

Qualifications

Minimum:

  • Master/Ph.D. in AI, Computer Science, or a related discipline, with a focus on NLP/AI
  • Strong background in generative AI, with hands-on experience developing LLM
  • Practical expertise in training and optimizing large language models for both cloud and edge inference
  • Excellent programming skills in Python

Preferred:

  • Deeply knowing the concept of LLM context, memory, RAG, and has related experiences in those topics
  • Has the experience to build LLM training dataset, and benchmark, with such proved record in publications
  • Experience with large language model with parameter number around 1 billion, knowing the tradeoffs in such models
  • Contributions to open-source AI projects
  • Strong collaborative and communication skills

Benefits

OPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

The US base salary range for this full-time position is $100,000-$300,000 + bonus + long term incentives benefits. Our salary ranges are determined by role, level, and location.