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Natural Language Processing Engineer Jobs in New York

SonSoft Inc.

Sr. Data Scientist

Newark, NJ · On-site

They are seeking a Senior Data Scientist with extensive experience in machine learning algorithms and strong skills in Text Mining and Natural Language Processing. Responsibilities : • 10 to 15 ...

Standard Template Labs

AI Engineer

New York, NY · On-site

$160K - $230K/yr

About the Role Our team is currently seeking AI Engineers that will design, build, and deploy ... Experience with one or more of: natural language processing (NLP), large language models (LLMs ...

Smarsh

Lead Data Scientist

Manhattan, NY · On-site

$166 - $214/hr

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 ...

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All JobsNatural Language Processing Engineer JobsNatural Language Processing Engineer Jobs in New York

Natural Language Processing Engineer information

See New York salary details

$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:
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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 1% As Needed, 73% Full Time, 20% Part Time, 2% Temporary, and 4% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $100,670 per year, or $48.4 per hour.

Senior Machine Learning Engineer - up to $200k + equity

ingenium.agency

Manhattan, NY

$200K/yr

Full-time

Medical, Retirement, PTO

Re-posted yesterday

Job description

Senior Machine Learning Engineer - up to $200k base + equity

We accelerate the deployment of climate tech solutions by providing clients with industry leading insights, data, analytics, and research on both technologies and markets. Our subscription intelligence platform gives investors, corporates, and governments the insights they need to anticipate developments and to confidently build and finance the new climate economy. We produce the industry-leading newsletter read by 60,000 climate leaders.



We are looking for a Senior Machine Learning Software Engineer to join our engineering team. As a Senior ML Software Engineer, you will design, develop and implement software solutions across our machine learning and data stack, and play a crucial role in delivering insights into the new climate economy to investors, corporates, and governments mobilizing strategies in the climate transition. Our ideal candidate has a strong technical background and a willingness to “wear many hats”, learn new skills, and take the initiative to develop new features as needs arise.


The Role

  • Collection — Implement web scraping and other collection techniques to increase the speed, efficiency, and breadth of data collection.
  • Processing — Implement AI, natural language processing, and machine learning models to extract, classify, and transform data.
  • Infrastructure — Assist in developing and maintaining our internal data server and web interface. This will include developing new features for data entry and validation of AI-generated data.
  • Analysis — Analyze the performance of the machine learning and data stack to identify opportunities to improve coverage and accuracy.


The Essentials

  • 5+ years experience as a Software Engineer, Machine Learning Engineer, Data Engineer or equivalent
  • Deep expertise in Python development
  • Experience in machine learning / natural language processing
  • Proven history developing and maintaining production-grade software
  • A passion for addressing the climate crisis through high quality research and data
  • Interest in working for a fast-moving startup with a small, international team
  • A BSc degree in Computer Science, Engineering or other relevant field


A Plus

  • Experience using Django and AWS
  • A successful history of manipulating, processing and extracting value from datasets
  • Experience working with Jira / Agile framework
  • Experience using Bitbucket Pipelines
  • Working understanding of climate tech sectors


Our Offer


  • Opportunity to work and learn at a fast-growing climate tech startup
  • Hybrid office based in New York
  • Generous base salary + stock options
  • Flexible working hours
  • 20 days PTO + federal holidays
  • Health coverage and 401(k)