Deep Learning Jobs – Page 11

Why this is a real AI job: The role explicitly focuses on designing, building, and deploying AI systems for enterprise customers. The description emphasizes hands-on engineering with models, agents, data, and production considerations – all core AI activities.

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportuniti…

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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…

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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…

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Why this is a real AI job: The role explicitly focuses on designing, building, and deploying AI systems for enterprise customers. The description emphasizes hands-on engineering with models, agents, data, and evaluation – all core AI activities.

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportuniti…

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Why this is a real AI job: The role explicitly focuses on building and deploying ML systems in production for core business problems (anomaly detection, recommendation systems). The required qualifications heavily emphasize ML/AI expertise and MLOps practices. LLMs are specifically men…

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work ,…

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Why this is a real AI job: The job description explicitly focuses on building, deploying, and monitoring machine learning algorithms for core business functions (optimization, risk assessment, AML). The required skills are heavily weighted towards ML/Data Science expertise.

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opp…

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Why this is a real AI job: The role explicitly focuses on designing, building, and deploying machine learning models for real-time applications. The description highlights experience with LLMs and translating research into production systems. Responsibilities are heavily weighted towar…

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creat…

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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…

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Why this is a real AI job: The role is explicitly focused on building and scaling an ML platform, defining standards for MLOps, and leading initiatives to improve data science velocity. The job description heavily emphasizes technical expertise in machine learning infrastructure.

About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech…

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Why this is a real AI job: The role is explicitly focused on designing, building, and scaling an AI platform. The job description details core responsibilities around LLMs, RAG pipelines, agent orchestration, model serving, and evaluation – all central to modern AI/ML engineering.

About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small business…

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