KI-Jobs für Berufseinsteiger – Seite 17

Warum echter KI-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 Quelle / Bewerbung öffnen

Warum echter KI-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 Quelle / Bewerbung öffnen

Warum echter KI-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…

Details Quelle / Bewerbung öffnen

Warum echter KI-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…

Details Quelle / Bewerbung öffnen

Warum echter KI-Job: The role explicitly focuses on AI/ML projects, research, and building/evaluating models. The description details work on frontier AI systems, model evaluation, and co-authoring research papers. The required skills are heavily AI/ML focused.

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 Quelle / Bewerbung öffnen

Warum echter KI-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…

Details Quelle / Bewerbung öffnen

Warum echter KI-Job: The role is explicitly focused on the architecture, development, and optimization of the inference engine for large language models (LLMs). The job description details deep technical requirements related to ML inference internals, GPU programming, and distrib…

P-1285 About This Role As a staff software engineer for GenAI inference, you will lead the architecture, development, and optimization of the inference engine that powers Databricks Foundation Model API.. You’ll bridge research advances and production demands, ensuring high throughput, low latency,…

Details Quelle / Bewerbung öffnen

Warum echter KI-Job: The role is explicitly focused on developing and deploying GenAI products, enhancing LLM quality, and building AI-driven features. The responsibilities and requirements heavily emphasize ML engineering, LLM technologies, and data science.

P-1504 The Applied AI team at Databricks sits at the forefront of advancing GenAI-powered products. Over the past years, we’ve launched Databricks Assistant , AI/BI Genie , and Agent Bricks working with product teams, and made significant strides in LLM quality for these products. These products ar…

Details Quelle / Bewerbung öffnen

Warum echter KI-Job: The role is explicitly focused on research and development of LLMs and AI systems for enterprise applications. The job description details tasks directly related to adapting, improving, and evaluating these models.

Company Description: At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform, so our customers can focus on the high value chal…

Details Quelle / Bewerbung öffnen

Warum echter KI-Job: The role explicitly focuses on building and deploying ML models to optimize infrastructure, a core application of AI/ML. The job description highlights the use of machine learning, scheduling, and optimization algorithms as central to the position's impact.

RDQ127R59 Summary As a Senior Applied ML Engineer on the Applied AI team at Databricks, you will use machine learning, scheduling, and optimization algorithms to maximize the efficiency and performance of our infrastructure. Your work will span the entire stack—from cluster management down to query…

Details Quelle / Bewerbung öffnen