MLOps Jobs – Page 14

Why this is a real AI job: The role is explicitly focused on research and implementation of LLM reasoning, with a strong emphasis on data strategy for improving LLM capabilities. The job description details specific AI/ML skills and experience required.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we…

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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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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,…

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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…

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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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Why this is a real AI job: The role explicitly focuses on architecting and building production-grade ML & AI applications, working with GenAI solutions, and optimizing AI workloads. The job description heavily emphasizes hands-on ML/AI experience and technical expertise in relevant tec…

FEQ327R156 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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Why this is a real AI job: The role is explicitly focused on designing, developing, and optimizing the inference engine for Databricks' Foundation Model API (LLMs). The job description details deep technical work with model architectures, optimization, and distributed systems – all cor…

P-1284 About This Role As a software engineer for GenAI inference, you will help design, develop, and optimize the inference engine that powers Databricks’ Foundation Model API. You’ll work at the intersection of research and production, ensuring our large language model (LLM) serving systems are f…

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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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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…

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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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