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Tensorflow Jobs – Page 7

Aktuelle KI-Jobs mit Tensorflow, passende Lernpfade und Bewerbungsbezug.

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119
Results
35
Companies
94.9
Average score
44
Remote

10 results on this page. 119 results in total. More results are available via pagination, company pages, skill pages and job detail pages.

London, UKUSAgreenhouse2026-09-10

Why this is a real AI job: The role is explicitly focused on research and engineering of reinforcement learning for large language models, directly contributing to the core AI capabilities of Anthropic's products. The job description heavily emphasizes AI/ML/LLM 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…

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Research Engineer, Machine Learning (Reinforcement Learning)

Anthropic · New York City, NY, San Francisco, CA

95/100
New York City, NY, San Francisco, CAUSAgreenhouse2026-09-10

Why this is a real AI job: The role is explicitly focused on research and engineering of reinforcement learning for large language models, directly contributing to the core AI capabilities of Anthropic's products. The job description details tasks such as developing RL infrastructure,…

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

San FranciscoUSAFullTimeashby2026-09-10

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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San FranciscoUSAFullTimeashby2026-09-10

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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San FranciscoUSAFullTimeashby2026-09-10

Why this is a real AI job: The role is explicitly focused on building and scaling forecasting systems using machine learning techniques. The job description details tasks such as model development, deployment, monitoring, and research into advanced forecasting methods (TimeGPT, LLMs).…

ABOUT THE TEAM The Strategic Finance team at OpenAI plays a critical role in shaping the company’s long-term trajectory. We partner closely with Product, Engineering, and Go-To-Market teams to inform high-stakes decisions through rigorous data science and economic modeling. As part of our expanding…

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Seattle OfficeUSAgreenhouse2026-09-09

Why this is a real AI job: The role explicitly focuses on leading technical initiatives in machine learning, algorithm development, and production deployment of ML models. Responsibilities are overwhelmingly centered around building and scaling AI-powered solutions.

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. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, movi…

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Seattle OfficeUSAgreenhouse2026-09-09

Why this is a real AI job: The role explicitly focuses on leading ML initiatives, building production models, and driving algorithmic innovation. Responsibilities are overwhelmingly centered around data science tasks.

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. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, movi…

Details Open source / apply

United StatesUSAgreenhouse2026-09-09

Why this is a real AI job: The role explicitly focuses on building and productionizing machine learning models for ranking and recommendation systems, a core AI application. The description details work with data pipelines, feature engineering, model innovation, and experimentation, al…

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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AmsterdamUSAgreenhouse2026-09-08

Why this is a real AI job: The role is explicitly focused on building and optimizing machine learning infrastructure, tooling, and systems. Responsibilities directly involve ML training, inference, model performance, and scalability.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximatel…

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AmsterdamUSAgreenhouse2026-09-08

Why this is a real AI job: The role is explicitly focused on building and optimizing machine learning infrastructure, tooling, and systems. Responsibilities directly involve ML training, inference, model performance, and scalability.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximatel…

Details Open source / apply