AI Job Radar

Machine Learning Jobs – Page 25

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

How to use Machine Learning in applications

If a job requires Machine Learning, the skill should be supported by a project, course or portfolio example. The application check reviews whether the skill is actually evidenced in your CV.

528
Results
219
Companies
92.6
Average score
64
Remote

10 results on this page. 528 results in total. More results are available via pagination, company pages, skill pages and job detail pages.

Staff GenAI Research Scientist - Agents

Databricks · San Francisco, California

95/100
San Francisco, CaliforniaUSAgreenhouse2026-06-16

Why this is a real AI job: The role is explicitly focused on research and development of AI agents, specifically in areas like information retrieval, embeddings, and LLMs. The job description emphasizes advancing the scientific frontier in these areas and driving algorithmic innovation…

Staff GenAI Research Scientist - Agents P-1214 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 fo…

Details Open source / apply

Staff Machine Learning Engineer

Databricks · Mountain View, California

95/100
Mountain View, CaliforniaUSAgreenhouse2026-06-16

Why this is a real AI 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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Bengaluru, IndiaUSAgreenhouse2026-06-16

Why this is a real AI 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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Senior Staff Applied AI Engineer - Context Retrieval

Databricks · Mountain View, California; San Francisco, California

95/100
Mountain View, California; San Francisco, CaliforniaUSAgreenhouse2026-06-16

Why this is a real AI 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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Senior Applied AI Engineer

Databricks · Belgrade, Serbia

95/100
Belgrade, SerbiaUSAgreenhouse2026-06-16

Why this is a real AI 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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San Francisco, CaliforniaUSAgreenhouse2026-06-16

Why this is a real AI job: The role explicitly focuses on research and engineering related to GenAI, LLMs, and optimizing training workflows for large models. The tasks are deeply technical and directly contribute to advancing the state-of-the-art in AI.

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 challenges that are centra…

Details Open source / apply

San Francisco, CaliforniaUSAgreenhouse2026-06-16

Why this is a real AI job: The role is explicitly focused on building a generative AI platform, including all stages of the ML lifecycle (data generation, training, evaluation, serving, agent-building). The job description heavily emphasizes ML and AI technologies.

P-984 Founded in late 2020 by a small group of machine learning engineers and researchers, Mosaic AI enables companies to securely fine-tune, train and deploy custom AI models on their own data, for maximum security and control. Compatible with all major cloud providers, the Mosaic AI platform prov…

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AI Engineer - FDE (Forward Deployed Engineer)

Databricks · New South Wales, Australia

95/100
New South Wales, AustraliaUSAgreenhouse2026-06-16

Why this is a real AI 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 required skills and experience are heavily weighted towards AI/ML/Data Science.

CSQ227R47 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-term stra…

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