Natural Language Processing Jobs – Page 2

Why this is a real AI job: The role explicitly focuses on researching, developing, and implementing machine learning models for robotics and autonomous systems. The description details tasks directly related to AI/ML model building, training, and deployment. The core responsibilities a…

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this…

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Why this is a real AI job: The role explicitly focuses on building and improving core AI components like search engines, language models, and personalization algorithms. 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…

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Why this is a real AI job: The role explicitly focuses on building and improving AI products (Enterprise Brain) using LLMs, ML techniques, and agent orchestration. The tasks are heavily centered around core AI/ML engineering principles.

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…

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Why this is a real AI job: The role explicitly focuses on advancing the state of the art in medical NLP, building and deploying ML models, and conducting research in areas directly related to AI. The description emphasizes the core AI/ML responsibilities.

ABOUT ABRIDGE Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our e…

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Why this is a real AI job: The role is entirely focused on building and optimizing the model serving layer for voice applications, including LLMs, STT, and TTS. It requires deep expertise in ML engineering, inference optimization, and GPU utilization. The responsibilities and requireme…

About the Role Together AI is building the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications — serving speech-to-text and text-to-speech models with best-in-class latency and reliability. We're looking for a…

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Why this is a real AI job: The role is explicitly focused on managing programs within a Generative Machine Learning organization, building and improving core generative models. The requirements clearly state experience working directly on AI/ML, specifically foundation models, and deep…

WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe th…

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Why this is a real AI job: The role explicitly focuses on research and development of LLMs, evaluation methodologies, and addressing failure modes in generative AI models. The core responsibilities are deeply rooted in AI/ML techniques.

Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling) and evaluation. This role is on the evaluation pod w…

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Why this is a real AI job: The role explicitly focuses on building, deploying, and maintaining ML models in production, with a strong emphasis on cutting-edge AI techniques like GenAI, LLMs, and computer vision. The job description details tasks directly related to AI/ML development an…

The goal of a Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust…

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Why this is a real AI job: The role is explicitly focused on machine learning research, with projects directly related to developing and improving AI models. The description emphasizes cutting-edge research in areas like generative AI, reinforcement learning, and model evaluation.

At Scale , our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliv…

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Why this is a real AI job: The role explicitly focuses on designing, building, and deploying AI/ML systems (agentic AI, computer vision, reinforcement learning, LLMs) for critical government applications. The job description heavily emphasizes AI-specific tasks and responsibilities.

The goal of a Senior Machine Learning Engineer at Scale is to own how we apply generative AI, agentic AI, computer vision, and reinforcement learning to mission-critical problems in production. Our senior machine learning engineers are handed problems that don't yet have an established approach, th…

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