Recommendation Systems Jobs

Warum echter KI-Job: The role explicitly focuses on building and improving core AI components like search engines, language models, and ranking systems. The tasks listed are heavily centered around ML model development, training, and deployment.

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With…

Details Quelle / Bewerbung öffnen

Warum echter KI-Job: The role explicitly focuses on building and improving core AI components of a search engine, including model training, language model adaptation, and combining LLMs with search. The tasks are heavily centered around AI/ML techniques.

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With…

Details Quelle / Bewerbung öffnen

Warum echter KI-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 Quelle / Bewerbung öffnen

Warum echter KI-Job: The role explicitly focuses on building and deploying ML/AI models and systems, improving the performance of AI-powered products, and working with foundational models. The description highlights core AI/ML engineering tasks.

P-1439 As a Senior Applied ML/AI Engineer at Databricks, you will apply machine learning and optimization algorithms to improve the usability and efficiency of the current AutoML and several other user-facing products that will benefit from better classification, regression, forecasting, and recomm…

Details Quelle / Bewerbung öffnen

Warum echter KI-Job: The job title and description explicitly mention 'Data Scientist' and focus on 'Vendor Recommendations & AI'. This indicates a core focus on applying data science and AI techniques to build and improve recommendation systems.

Principal Data Scientist - Vendor Recommendations & AI Data Scientist

Details Quelle / Bewerbung öffnen

Warum echter KI-Job: The role explicitly focuses on building and deploying data science solutions, including ML models, for business problems. The job description highlights core data science tasks like segmentation, recommendation systems, forecasting, and churn prediction. The…

P-57 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 Intelligence Platform, so our customers can focus on the high value challenges tha…

Details Quelle / Bewerbung öffnen