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Natural Language Processing Engineer Jobs in New York

Centstone

Senior GenAI Engineer

Jersey City, NJ · On-site

$60 - $70/hr

Strong expertise in Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP ... Programming Languages: Python, Java, R (Preferred) * Frameworks: TensorFlow, PyTorch, Scikit-learn

THOMSON REUTERS

Lead Research Engineer

New York, NY · On-site +1

$112K - $147K/yr

We hire engineers and specialists across a variety of AI research areas to drive the company ... Previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks ...

THOMSON REUTERS

Research Engineer

New York, NY · Hybrid

Previousexposure to Natural Language Processing (NLP) problems andhavefamiliarity with key tasks ... Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to ...

Soni Resources

Senior AI/ML Engineer

New York, NY · On-site

$200K/yr

We are seeking a Senior AI/ML Engineer to help design, build, and scale advanced analytics and ... Experience with natural language processing and natural language understanding * Experience leading ...

Smarsh

Lead Data Scientist

New York, NY

You'll work on highly specialized problems at the intersection of natural language processing ... Strong knowledge of key programming concepts (e.g. split-apply-combine, data structures, object ...

Smarsh

Lead Data Scientist

New York, NY · On-site +1

You'll work on highly specialized problems at the intersection of natural language processing ... Strong knowledge of key programming concepts (e.g. split-apply-combine, data structures, object ...

Saransh Inc

Lead AI/ML Developer

New York, NY · On-site

$64.50 - $84.50/hr

Strong understanding of machine learning algorithms, deep learning, and natural language processing (NLP). * Experience with data preprocessing, feature engineering, and model evaluation techniques.

Point72

Machine Learning Engineer

New York, NY · On-site

Role/Responsibilities: We are seeking a Machine Learning Engineer to join the High Frequency ... Experience with natural language processing technology is strongly preferred * Excellent analytical ...

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Natural Language Processing Engineer information

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$54.2K

$100.7K

$155.9K

How much do natural language processing engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for natural language processing engineer in New York is $100,670.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $112,700.00 per year, depending on experience, location, and employer.

What does a typical day look like for a natural language processing engineer?

A typical day for a Natural Language Processing Engineer involves developing, testing, and refining language models and algorithms, often using real-world datasets. You might collaborate with data scientists, product managers, and software engineers to integrate NLP solutions into applications or address complex language-related challenges. Regular responsibilities include data preprocessing, feature engineering, model evaluation, and troubleshooting performance issues. Most NLP engineers work in a team-oriented, agile environment where clear communication and iterative development are key. This structure offers a dynamic workflow and opportunities to learn from others while making a tangible impact on the products you help build.

What does a natural language processing engineer do?

A Natural Language Processing (NLP) Engineer develops algorithms and models that enable machines to understand, interpret, and generate human language. They work with large datasets, train machine learning models, and fine-tune language models for applications like chatbots, speech recognition, and text analysis. NLP Engineers typically use programming languages like Python and frameworks such as TensorFlow, PyTorch, or spaCy. Their work involves data preprocessing, model training, and optimizing performance to enhance the accuracy and efficiency of language-based AI systems.

What are the key skills and qualifications needed to thrive as a natural language processing engineer?

To thrive as a Natural Language Processing Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning and linguistics, and typically a degree in computer science, computational linguistics, or a related field. Familiarity with NLP libraries such as NLTK, spaCy, TensorFlow, or PyTorch as well as experience with cloud platforms and version control is often required. Analytical thinking, collaboration, and effective communication are important soft skills in this role. These competencies ensure the ability to build robust language models, contribute to innovative projects, and work efficiently in dynamic, cross-functional teams.

What are the most commonly searched types of Natural Language Processing Engineer jobs in New York? The most popular types of Natural Language Processing Engineer jobs in New York are:
What are popular job titles related to Natural Language Processing Engineer jobs in New York? For Natural Language Processing Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Natural Language Processing Engineer jobs in New York look for? The top searched job categories for Natural Language Processing Engineer jobs in New York are:
Natural Language Processing Engineer jobs near you
Infographic showing various Natural Language Processing Engineer job openings in New York as of August 2026, with employment types broken down into 80% Full Time, 15% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $100,670 per year, or $48.4 per hour.

Senior Applied Scientist, Ad Measurements Science

Amazon

New York, NY

Full-time

Re-posted 2 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,073 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

The Ads Measurement Science team in the Measurement, Ad Tech, and Data Science (MADS) team of Amazon Ads serves a centralized role developing solutions for a multitude of performance measurement products. We create solutions which measure the comprehensive impact of advertiser's ad spend, including sales impacts both online and offline and across timescales, and provide actionable insights that enable our advertisers to optimize their media portfolios. We also own the science solutions for AI tools that unlock new insights and automate high-effort customer workflows, such as custom query and report generation based on natural language user requests.

We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision.
As a Senior Applied Scientist on the team, you will be at the forefront of innovation, developing measurement solutions end-to-end from inception to production. You will set the technical vision and innovate on behalf of our customers. You will propose, design, analyze, and productionize models to provide novel measurement insights to our customers

You will partner with engineering to deploy these solutions into production. You will work with key stakeholders from various business teams to enable advertisers to act upon those metrics.
Key job responsibilities
* Lead the development of ad measurement models and solutions that address the full spectrum of an advertiser's investment, focusing on scalable and efficient methodologies.
* Collaborate closely with cross-functional teams including engineering, product management, and business teams to define and implement measurement solutions.
* Use state-of-the-art scientific technologies including Generative AI, Classical Machine Learning, Causal Inference, Natural Language Processing, and Computer Vision to develop state of the art models that measure the impact of ad spend across multiple platforms and timescales.
* Drive experimentation and the continuous improvement of ML models through iterative development, testing, and optimization.
* Translate complex scientific challenges into clear and impactful solutions for business stakeholders.
* Mentor and guide junior scientists, fostering a collaborative and high-performing team culture.
* Foster collaborations between scientists to move faster, with broader impact.
* Regularly engage with the broader scientific community with presentations, publications, and patents.
A day in the life
You will solve real-world problems by getting and analyzing large amounts of data, generate business insights and opportunities, design simulations and experiments, and develop statistical and ML models

The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the advertising organization. You will prepare written and verbal presentations to share insights to audiences of varying levels of technical sophistication.
Team video https://advertising.amazon.com/help/G4LNN5YWHP6SM9TJ
About the team
We are a team of scientists across Applied, Research, Data Science and Economist disciplines. You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds

We partner closely with top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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