AI Job Radar

Deep Learning Jobs – Page 9

Aktuelle KI-Jobs mit Deep Learning, passende Lernpfade und Bewerbungsbezug.

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197
Results
55
Companies
94.9
Average score
66
Remote

10 results on this page. 197 results in total. More results are available via pagination, company pages, skill pages and job detail pages.

Palo Alto, CAUSAgreenhouse2026-09-10

Why this is a real AI job: The role explicitly focuses on designing, implementing, and scaling recommendation algorithms using machine learning techniques. The responsibilities and qualifications are heavily centered around AI/ML technologies.

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on c…

Details Open source / apply

San FranciscoUSAFullTimeashby2026-09-10

Why this is a real AI job: The role explicitly focuses on AI research and development, specifically large language models (LLMs) and their application to Perplexity's core products. The responsibilities are heavily centered around model training, optimization, and implementation, indic…

Perplexity is seeking top-tier AI Research Scientists and Engineers to advance our AI products and capabilities. We're building the future of AI-powered search and agent experiences through our Sonar models, Deep Research Agent, Comet Agent, and Search products. Join us in creating SOTA experiences…

Details Open source / apply

BerlinUSAFullTimeashby2026-09-10

Why this is a real AI job: The role explicitly focuses on training, optimizing, and researching large-scale deep learning models for search and retrieval. The responsibilities and qualifications are heavily centered around AI/ML techniques.

Internship Program Berlin Internship program: 12 - 24 weeks, full-time, in-person in the Berlin office. Responsibilities - Relentlessly push search quality forward — through models, data, tools, or any other leverage available. - Train, and optimize large-scale deep learning models using frameworks…

Details Open source / apply

CanadaCanadaInternashby2026-09-10

Why this is a real AI job: The role explicitly focuses on designing, training, and deploying cutting-edge machine learning models. The description details tasks directly related to ML research, development, and implementation, with a strong emphasis on NLP and large-scale model trainin…

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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Washington, DCUSAgreenhouse2026-09-10

Why this is a real AI job: The role explicitly focuses on developing and deploying machine learning models (including LLMs, GenAI, computer vision) in production environments. The job description details tasks directly related to ML model building, training, tuning, and infrastructure…

The goal of a Senior 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…

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San Francisco, CAUSAgreenhouse2026-09-10

Why this is a real AI job: The role is explicitly focused on building and training state-of-the-art machine learning models, specifically LLMs and agents, for enterprise applications. The job description emphasizes research, algorithm development, and deployment of AI solutions.

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…

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Remote (Growth only)USAgreenhouse2026-09-10

Why this is a real AI job: The role explicitly focuses on designing, evaluating, and optimizing ML models, contributing to research publications, and working with cutting-edge AI systems. The core responsibilities are deeply rooted in AI/ML engineering and research.

About the Collective The Human Frontier Collective (HFC) ’s mission is to bring the world's best minds to shape the future of AI – because the future of AI depends not only on powerful models, but on the people who teach them to think. We bring together researchers, academics, and domain leaders ac…

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Remote (Growth only)USAgreenhouse2026-09-10

Why this is a real AI job: The role explicitly focuses on designing, evaluating, and optimizing advanced generative AI systems and ML models. The fellow will be directly involved in ML projects, research publications, and advising on AI-related technologies. The description heavily emp…

About the Collective The Human Frontier Collective (HFC) ’s mission is to bring the world's best minds to shape the future of AI – because the future of AI depends not only on powerful models, but on the people who teach them to think. We bring together researchers, academics, and domain leaders ac…

Details Open source / apply

Remote (Growth only)USAgreenhouse2026-09-10

Why this is a real AI job: The role explicitly focuses on designing, evaluating, and optimizing ML models, contributing to research publications, and working with cutting-edge AI systems. The core responsibilities are deeply rooted in AI/ML engineering and research.

About the Collective The Human Frontier Collective (HFC) ’s mission is to bring the world's best minds to shape the future of AI – because the future of AI depends not only on powerful models, but on the people who teach them to think. We bring together researchers, academics, and domain leaders ac…

Details Open source / apply

San Francisco, CAUSAgreenhouse2026-09-10

Why this is a real AI job: The role explicitly focuses on research and development of post-training techniques for LLMs, including SFT, RLHF, and reward modeling. The job description highlights the application of these techniques to enhance LLM capabilities and solve core AI problems.

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). This role will focus on optimizing data curation an…

Details Open source / apply