AI Job Radar

Natural Language Processing Jobs

Aktuelle KI-Jobs mit Natural Language Processing, passende Lernpfade und Bewerbungsbezug.

How to use Natural Language Processing in applications

If a job requires Natural Language Processing, the skill should be supported by a project, course or portfolio example. The application check reviews whether the skill is actually evidenced in your CV.

52
Results
20
Companies
94.9
Average score
20
Remote

10 results on this page. 52 results in total. More results are available via pagination, company pages, skill pages and job detail pages.

United StatesUSAgreenhouse2026-09-10

Why this is a real AI job: The role is explicitly focused on building and deploying AI-powered solutions, including agentic systems, content generation, and ML/AI orchestration. The job description heavily emphasizes ML/AI expertise and its application to core business problems.

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible f…

Details Open source / apply

United StatesUSAgreenhouse2026-09-10

Why this is a real AI job: The role is explicitly focused on building and deploying ML models for trust, safety, and fraud prevention. The description highlights a strong emphasis on ML vision, strategy, and hands-on model development. Specific mention of LLMs, GenAI, and Agentic AI fu…

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible f…

Details Open source / apply

United StatesUSAgreenhouse2026-09-10

Why this is a real AI job: The role explicitly focuses on building and productionizing ML models for trust and safety, including LLMs and AI agents. The job description details core ML engineering tasks like feature engineering, model training, deployment, and evaluation – all central…

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible f…

Details Open source / apply

ChinaUSAgreenhouse2026-09-10

Why this is a real AI job: The role is explicitly focused on building and enhancing AI/ML models, LLM fine-tuning, and AI-powered customer service solutions. The description highlights core AI tasks and responsibilities.

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible f…

Details Open source / apply

United StatesUSAgreenhouse2026-09-10

Why this is a real AI job: The role is explicitly focused on developing and deploying AI/ML models (LLMs, Agentic AI) for customer service applications. The job description highlights core AI tasks like model training, fine-tuning, and productionization. The required expertise is heavi…

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible f…

Details Open source / apply

United StatesUSAgreenhouse2026-09-10

Why this is a real AI job: The role is explicitly focused on building and improving machine learning models for query understanding, a core component of Airbnb's search and recommendation system. The description highlights the use of cutting-edge AI technologies, LLMs, and NLP techniqu…

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible f…

Details Open source / apply

RemoteUSAgreenhouse2026-09-10

Why this is a real AI job: The role explicitly focuses on building and deploying GenAI/ML solutions for customers. The job description details tasks like model development, data exploration, fine-tuning pipelines, RAG implementation, and evaluation workflows - all core AI activities.

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a resear…

Details Open source / apply

Applied AI Engineer - Enterprise Solutions

Snorkel AI · New York City, Remote, San Francisco

95/100
New York City, Remote, San FranciscoUSAgreenhouse2026-09-10

Why this is a real AI job: The role explicitly focuses on building and deploying GenAI and ML solutions for customers. The responsibilities heavily emphasize model development, data processing, evaluation workflows, and staying current with AI research. Required skills are overwhelming…

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a resear…

Details Open source / apply

BangaloreUSAgreenhouse2026-09-10

Why this is a real AI job: The role explicitly focuses on building and improving core AI components like search engines, language models, and ranking systems. The tasks listed are heavily centered around ML model development, training, and deployment.

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With…

Details Open source / apply

Machine Learning Engineer, Search Quality

Glean · Mountain View, CA (HQ)

95/100
Mountain View, CA (HQ)USAgreenhouse2026-09-10

Why this is a real AI job: The role explicitly focuses on building and improving core AI components of a search engine, including model training, language model adaptation, and combining LLMs with search. The tasks are heavily centered around AI/ML techniques.

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With…

Details Open source / apply