Databricks – KI-Jobs

Warum echter KI-Job: Die Rolle eines Senior Machine Learning Engineers bei Databricks ist stark auf die Entwicklung und Bereitstellung von GenAI-Produkten ausgerichtet. Die Aufgaben beinhalten die Entwicklung von LLMs, die Gestaltung von AI-Features, die Erstellung von ML-Pipelin…

P-1131 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…

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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,…

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Warum echter KI-Job: The role explicitly focuses on developing and deploying ML-based search relevance models, NLP pipelines, and evaluating search ranking improvements. The core responsibilities are heavily centered around AI/ML techniques.

P-1408 The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products . Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Some of them can have hundreds of milli…

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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…

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Warum echter KI-Job: The role explicitly focuses on architecting and building production-grade ML & AI applications, working with GenAI solutions, and applying MLOps best practices. The job description heavily emphasizes technical expertise in AI/ML technologies.

FEQ427R400 Mission As a Sr Specialist Solutions Architect (SSA) - ML & AI Engineer, you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide enterprise and strategic customers in architectin…

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Warum echter KI-Job: The role explicitly focuses on building and improving ML/LLM models for a core product (CustomerLake). The job description details tasks such as model evaluation, production monitoring, and algorithm development, all central to AI/ML engineering. The required…

P-1607 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best Data Intelligence Platform s…

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Warum echter KI-Job: The role is entirely focused on building and improving context retrieval systems for AI agents, encompassing all core AI/ML/LLM aspects. The job description explicitly mentions building the retrieval stack, search subagents, and optimizing for LLMs, indicatin…

P-1549 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure p…

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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…

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Warum echter KI-Job: The role explicitly focuses on building and deploying GenAI applications, working with cutting-edge AI research, and serving as a technical advisor in the field. The job description heavily emphasizes practical experience with relevant tools and techniques.

CSQ427R171 Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-…

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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…

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