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Natural Language Processing Engineer Jobs in New York

Forhyre

Prompt Engineers

New York, NY

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Stay up-to-date with the latest advancements in natural language processing and AI technologies.

Socotec

Applied AI Engineer

Manhattan, NY · On-site

As an Applied AI Engineer at SOCOTEC, you will be responsible for designing, developing, and ... Design and implement machine learning models tailored to natural language processing (NLP) and ...

SOCOTEC

Applied AI Engineer

Manhattan, NY · On-site

As an Applied AI Engineer at SOCOTEC, you will be responsible for designing, developing, and ... Design and implement machine learning models tailored to natural language processing (NLP) and ...

Forhyre

Prompt Engineers

New York, NY

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Stay up-to-date with the latest advancements in natural language processing and AI technologies.

Socotec

Applied AI Engineer

Manhattan, NY · On-site

As an Applied AI Engineer at SOCOTEC, you will be responsible for designing, developing, and ... Design and implement machine learning models tailored to natural language processing (NLP) and ...

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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 Jul 17, 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 in the Natural Language Processing Engineer position, and why are they important?

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:
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Natural Language Processing Engineer jobs near you
AI Developer Natural Language Processing Machine Learning AWS

AI Developer Natural Language Processing Machine Learning AWS

Accord Technologies Inc.

New York, NY • On-site

Contractor

Posted 12 days ago

Job description

AI Developer – Natural Language Processing,  Machine Learning & AWS 
Loction: New York, NY  (Need Onsite day 1, hybrid 3 days from office).
Duraiton: Long term
Position type: W2 contract

Job Description:

We are seeking a highly skilled and motivated AI Developer specializing in Natural Language Processing (NLP) and Large Language Models (LLMs) to join our dynamic team. The ideal candidate will have strong hands-on experience in implementing LLMs, managing machine learning pipelines, and deploying AI solutions on cloud and server environments. Experience in the financial sector, particularly in equities, will be considered an advantage. 

Responsibilities:

  • Develop, implement, and optimize NLP solutions utilizing LLMs tailored for financial data and equities
  • Manage and deploy Machine Computing Platforms (MCP) to support scalable AI workloads.
  • Collaborate with data scientists and engineers to integrate AI models into production environments.
  • Maintain and enhance AI infrastructure on AWS cloud services and Linux-based servers.
  • Apply traditional machine learning techniques on structured large datasets to complement NLP efforts.
  • Troubleshoot and resolve software/hardware issues related to AI systems and server environments.
  • Stay updated with the latest advancements in NLP, LLMs, and machine learning best practices.

Requirements:

  • Deep knowledge of Natural Language Processing, including expertise with Large Language Models (e.g., GPT, BERT, similar architectures).
  • Hands-on experience in implementing, fine-tuning, and deploying LLMs in production.
  • Proven experience managing and operating MCP or similar machine learning platforms.
  • Strong proficiency with AWS cloud services (EC2, S3, Lambda, etc.) and experience working with Linux server environments.
  • Knowledge of traditional machine learning models applied on structured big data is a plus.
  • Prior experience in equities or financial data analysis is highly preferred.
  • Programming proficiency in Python, and familiarity with relevant AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
  • Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. 
Preferred,
  • Hands-on experience deploying AI models in financial or equities contexts.
  • Familiarity with data pipeline development and big data processing tools.