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Language Model Jobs in New York (NOW HIRING)

Reality Labs at Meta is seeking a Research Scientist with deep expertise in Large Language Models (LLMs) to advance our work in AI-powered neuromotor interactions for wearable devices. We are ...

Reality Labs at Meta is seeking a Research Scientist with deep expertise in Large Language Models (LLMs) to advance our work in AI-powered neuromotor interactions for wearable devices. We are ...

Senior AI Engineer

Iselin, NJ · Hybrid

$106K - $145K/yr

The Senior AI Engineer is a technical leader with deep expertise in AI/ML, Generative AI, Large Language Models (LLMs), and modern cloud-native application development. This role is responsible for ...

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Language Model information

What are language models?

Language models are artificial intelligence systems designed to understand, generate, and manipulate human language. They are trained on vast amounts of text data to predict the next word in a sequence, answer questions, write content, translate languages, and perform other language-related tasks. Modern language models, such as those based on deep learning, have revolutionized natural language processing by enabling more accurate and context-aware interactions between humans and machines.

What is the difference between Language Model vs Data Scientist?

AspectLanguage ModelData Scientist
Required CredentialsNone specific; knowledge of NLP and AI concepts helpfulBachelor's or higher in Data Science, Statistics, or related fields
Work EnvironmentAI development teams, research labs, tech companiesBusiness, finance, healthcare, and various industries
Employer & Industry UsageUsed in AI applications, chatbots, content generationAnalyzing data, building models, providing insights

While both roles involve working with data and AI, a Language Model is an AI system designed to understand and generate human language, often developed by AI engineers. A Data Scientist analyzes data to extract insights and build predictive models, often utilizing language models as tools. Understanding the differences helps clarify career paths and job expectations in the AI and data fields.

What are the key skills and qualifications needed to thrive as a Language Model, and why are they important?

To thrive as a Language Model Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree. Experience with frameworks like TensorFlow or PyTorch, and familiarity with large-scale data processing tools, are typically required. Strong analytical thinking, collaboration, and problem-solving skills help in designing effective models and working with cross-functional teams. These capabilities are crucial for developing performant and accurate language models that meet complex real-world communication needs.

What are the common challenges faced by professionals working on language model development teams?

Professionals developing language models often encounter challenges such as managing large datasets, addressing biases in training data, and optimizing model performance while balancing computational resources. Collaboration with cross-functional teams—including data scientists, engineers, and domain experts—is essential to ensure the model's accuracy and relevance. Additionally, staying current with rapid advancements in AI research and maintaining responsible AI practices are crucial aspects of the role.
What job categories do people searching Language Model jobs in New York look for? The top searched job categories for Language Model jobs in New York are:
What cities in New York are hiring for Language Model jobs? Cities in New York with the most Language Model job openings:
Infographic showing various Language Model job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.
Principal Applied Scientist, Small Language Models

Principal Applied Scientist, Small Language Models

NextDeavor Inc.

New York, NY • On-site

$200K - $250K/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 3 days ago


Job description

Principal Applied Scientist, Small Language Models.
Full-time
New York City, NY, US
Exclusive confidential search — details shared with qualified applicants.
Benefits You'll Love
  • Top-tier medical, dental, and vision coverage
  • 401(k)
Become a Key Player as a Principal Applied Scientist, Small Language Models

You will own the small, purpose-built language model that enforces compliance in real time, ensuring messages are safe before they are sent. In this hands-on senior individual contributor role you will drive model design, evaluation, and production performance, working directly with the founder and cross-functional stakeholders. Hybrid (3 days onsite in New York City).

Here's How You'll Make an Impact on the Team
  • Own the compliance detection and rewrite model end-to-end: data, architecture, training, evaluation, and production
  • Build the evaluation harness and labeled-data flywheel to prove model quality
  • Optimize and balance accuracy, cost, and latency for production use
  • Define and execute the path from frontier models to a smaller specialized model that matches or beats accuracy at lower cost and latency
  • Build infrastructure for per-customer adaptation, including adapters and per-tenant tuning
  • Translate plain-language policy into enforceable model behavior and document reasoning for model decisions
  • Run focused error analysis on critical cases (missed violations and false positives)
Here's What You'll Need to Be Successful in This Role
  • 8+ years in applied ML or AI with models shipped and maintained in production
  • Hands-on expertise in modern NLP and LLM techniques, including fine-tuning, distillation, and rigorous evaluation
  • Strong judgment as a senior individual contributor who sets technical direction
  • Deep instincts for model design tradeoffs (when to fine-tune vs. prompt, when to distill, when smaller models suffice)
  • Bias for shipping and measuring everything you deploy
Here's What Else Might Help You Out
  • Experience transitioning systems from large general models to smaller specialized models for cost and latency
  • Background in compliance, regtech, or other regulated domains
  • Experience adapting one model to many customers (adapters, per-tenant tuning)
  • Public research, open source contributions, or technical writing
Pay Range

$200,000 - $250,000/year

Ready to Make Your Mark?

This role may fill quickly. Submit your resume to be considered.

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