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1152
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303
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92.5
Average score
206
Remote
10 results on this page. 1152 results in total. More results are available via pagination, company pages, skill pages and job detail pages.
Machine Learning Research Engineer, Agent Data Foundation - Enterprise GenAI
Scale AI · San Francisco, CA
95/100
Why this is a real AI job: The role explicitly focuses on research and development of machine learning models, synthetic data pipelines, and agent building – all core AI/ML activities. The description emphasizes cutting-edge research and contribution to a GenAI product.
AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, an…
Machine Learning Research Engineer, Agents - Enterprise GenAI
Scale AI · San Francisco, CA
95/100
Why this is a real AI job: The role explicitly focuses on researching, building, and training machine learning models, specifically agents powered by LLMs and reinforcement learning. The job description highlights cutting-edge algorithms and applications to enterprise datasets, indicat…
AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, an…
Machine Learning Systems Research Engineer, Agent Post-training - Enterprise GenAI
Scale AI · San Francisco, CA
95/100
Why this is a real AI job: The role is explicitly focused on building and optimizing machine learning systems for enterprise generative AI applications, including post-training of LLMs using reinforcement learning techniques. The job description heavily emphasizes AI/ML skills and expe…
AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, an…
Machine Learning Engineer, Platform
Scale AI · London, UK
95/100
Why this is a real AI job: The role is explicitly focused on building and deploying machine learning systems for a Generative AI platform. The job description details tasks directly related to core AI/ML concepts like RAG pipelines, knowledge representation, vector databases, and model…
Machine Learning Engineer, Platform London, UK Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and agentic workflows. We are looking for a Machine Learning Engineer to join our team and build th…
Why this is a real AI job: The role explicitly focuses on machine learning engineering within an open-source context, directly contributing to the core of Hugging Face's AI offerings.
Open-Source Machine Learning Engineer - EMEA Remote
Why this is a real AI 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
Staff Machine Learning Engineer
Databricks · Mountain View, California
95/100
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…
Staff Software Engineer - GenAI inference
Databricks · San Francisco, California
95/100
Why this is a real AI 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,…
Staff Software Engineer - GenAI Performance and Kernel
Databricks · San Francisco, California
95/100
Why this is a real AI job: The role explicitly focuses on optimizing GPU kernels for GenAI inference, requiring deep expertise in ML, GPU architecture, and performance engineering. The tasks are overwhelmingly centered around AI/ML technologies.
P-1285 About This Role As a staff software engineer for GenAI Performance and Kernel, you will own the design, implementation, optimization, and correctness of the high-performance GPU kernels powering our GenAI inference stack. You will lead development of highly-tuned, low-level compute paths, ma…
Staff Software Engineer - Machine Learning (Search)
Databricks · Bengaluru, India
95/100
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…