Data pipelines Jobs – Page 5

Why this is a real AI job: The role explicitly focuses on building and optimizing recommendation systems powered by LLMs, requiring deep ML expertise. The job description heavily emphasizes ML fundamentals, model building, and data foundations for learning and improvement.

Perplexity is seeking experienced ML engineers to design, build, and optimize the recommendation systems that power core experiences on Perplexity. Perplexity builds AI for those who expect more. Our products are designed to help people find answers, make their most consequential decisions, and com…

Details Open source / apply

Why this is a real AI job: The role explicitly focuses on research and development of machine learning models, synthetic data pipelines, and agent building – all core AI/ML activities. The description emphasizes cutting-edge research and contribution to a GenAI product.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, an…

Details Open source / apply

Why this is a real AI job: The role is explicitly focused on building and deploying machine learning systems for a Generative AI platform. The job description details tasks directly related to core AI/ML concepts like RAG pipelines, knowledge representation, vector databases, and model…

Machine Learning Engineer, Platform London, UK Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and agentic workflows. We are looking for a Machine Learning Engineer to join our team and build th…

Details Open source / apply

Why this is a real AI job: The role is explicitly focused on evaluating and improving large language models (Claude), building evaluation infrastructure, and monitoring model health. The core responsibilities directly involve AI/ML concepts and techniques.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working to…

Details Open source / apply

Why this is a real AI job: The role is fundamentally focused on building infrastructure to support machine learning research specifically for detecting and mitigating misuse of AI models. It directly involves working with model internals, training detection methods, and deploying these…

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working to…

Details Open source / apply

Why this is a real AI job: The role is explicitly focused on building the data infrastructure to support large-scale AI/ML training and evaluation within a leading AI research company (OpenAI). The description heavily emphasizes AI-related tasks and technologies.

About the Team The OpenAI Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factor…

Details Open source / apply

Why this is a real AI job: The role is explicitly focused on building and improving OpenAI's core experimentation platform for AI products, requiring deep expertise in statistical rigor, causal inference, and ML experimentation. The tasks are overwhelmingly centered around AI/ML method…

About the Team The Statsig team at OpenAI https://openai.com?utm_source=chatgpt.com builds and operates the experimentation platform that powers product development, measurement, and decision-making across the company. We partner closely with product, engineering, and infrastructure teams to ensure…

Details Open source / apply

Why this is a real AI job: The role is explicitly focused on building and improving AI systems, model customization, post-training workflows, evaluation, data pipelines, and integration with cloud infrastructure. The job description heavily emphasizes ML engineering experience and work…

ABOUT THE TEAM OpenAI’s API Multicloud team is responsible for extending OpenAI’s API platform into strategic cloud environments, starting with AWS https://openai.com/index/openai-on-aws/. The team’s mission is to distribute OpenAI’s API broadly and safely by enabling key API technologies in AWS-na…

Details Open source / apply

Why this is a real AI job: The role explicitly focuses on designing, deploying, and optimizing machine learning models, specifically LLMs, for content understanding and abuse prevention. The core responsibilities are deeply rooted in AI/ML engineering.

About the Team The Integrity team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. The Integrity team is at the front lines of defe…

Details Open source / apply

Why this is a real AI job: The role is explicitly focused on building and deploying machine learning models for core Airbnb products (search and recommendations). The description details work with data pipelines, feature engineering, model innovation, serving, experimentation, and ment…

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