USAworkable2026-09-10
Warum echter KI-Job: The role explicitly focuses on machine learning engineering within an open-source context, directly contributing to ML models and frameworks. Hugging Face is a leading AI company.
Open-Source Machine Learning Engineer - US Remote
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Mountain View, CaliforniaUSAgreenhouse2026-09-10
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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New York City, New YorkUSAgreenhouse2026-09-10
Warum echter KI-Job: The role explicitly focuses on building and improving ML/LLM models for a customer data platform. The job description details tasks like model evaluation, production monitoring, and pushing the boundaries of personalization algorithms.
RDQ427R109 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 Platfo…
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Mountain View, CaliforniaUSAgreenhouse2026-09-10
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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Belgrade, SerbiaUSAgreenhouse2026-09-10
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…
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Databricks · Mountain View, California; San Francisco, California
95/100
Mountain View, California; San Francisco, CaliforniaUSAgreenhouse2026-09-10
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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San Francisco, CaliforniaUSAgreenhouse2026-09-10
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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Paris, FranceUSAgreenhouse2026-09-10
Warum echter KI-Job: The role is explicitly focused on GenAI and Machine Learning within the Databricks platform. The job description details deep technical expertise in LLMs, fine-tuning, reinforcement learning, and productionizing AI applications. A significant portion of the r…
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. Our customers leverage the Databricks Data Intelligence Platform to power their mission critical Data and AI applications to improve how their organisations leverage data and insights to make better d…
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Paris, FranceUSAgreenhouse2026-09-10
Warum echter KI-Job: The role is explicitly focused on GenAI and Machine Learning within the Databricks platform. The job description details requirements for designing, delivering, and advising customers on production-grade Generative AI solutions, including LLMs and reinforceme…
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. Our customers leverage the Databricks Data Intelligence Platform to power their mission critical Data and AI applications to improve how their organisations leverage data and insights to make better d…
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Tokyo, JapanUSAgreenhouse2026-09-10
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 on AI solutions. The job description heavily emphasizes AI/ML/LLM technologies and their productionization.
Req: FEQ227R196 Location: Tokyo, Japan 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…
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