Scale AI · New York, NY, San Francisco, CA
95/100
New York, NY, San Francisco, CAUSAgreenhouse2026-10-31
Why this is a real AI job: The role is fundamentally focused on building and scaling AI data products, benchmarks, and evaluation methodologies. The description explicitly centers around AI/ML model training, measurement, and governance. The 'Coding' role specifically requires deep und…
Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world's most important decisions. Scale's evalu…
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Washington, DCUSAgreenhouse2026-10-31
Why this is a real AI job: The role explicitly focuses on designing, building, and deploying AI/ML systems (agentic AI, computer vision, reinforcement learning, LLMs) for critical government applications. The job description heavily emphasizes AI-specific tasks and responsibilities.
The goal of a Senior Machine Learning Engineer at Scale is to own how we apply generative AI, agentic AI, computer vision, and reinforcement learning to mission-critical problems in production. Our senior machine learning engineers are handed problems that don't yet have an established approach, th…
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Washington, DCUSAgreenhouse2026-10-31
Why this is a real AI job: The role explicitly focuses on designing, implementing, and deploying agentic AI systems for government applications. The job description heavily emphasizes ML, LLMs, and related technologies as the core responsibilities.
The goal of a Staff Machine Learning Engineer at Scale is to lead the design and deployment of agentic AI systems that operate in real-world, mission-critical government environments. On the Public Sector team, you’ll work at the intersection of agentic ML, systems engineering, and applied research…
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San Francisco, CAUSAgreenhouse2026-10-31
Why this is a real AI job: The role is focused on building and scaling infrastructure for a Generative AI platform (Scale GP). The description explicitly mentions LLMs, vector databases, and AI technologies, indicating a core focus on AI development and deployment.
Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our core infrastructure in a fast-paced environment. The ideal ca…
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San Francisco, CAUSAgreenhouse2026-10-31
Why this is a real AI job: The role is deeply embedded in building the data infrastructure and products that directly support AI model training and evaluation. The descriptions explicitly mention shaping AI model quality, working with ML research teams, and building systems for the Gen…
Scale AI builds the data infrastructure that powers the world’s most advanced AI. We are the trusted data partner behind frontier model makers and enterprise AI teams — providing the high-quality training data, evaluation frameworks, and human-feedback systems that make models smarter, safer, and m…
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San Francisco, CaliforniaUSAgreenhouse2026-10-31
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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Bengaluru, IndiaUSAgreenhouse2026-10-31
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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USAworkable2026-10-31
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
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USAworkable2026-10-31
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
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San Francisco, CaliforniaUSAgreenhouse2026-10-31
Why this is a real AI job: The role explicitly focuses on building and shipping generative AI products with a significant UI/UX component. The description highlights creating interfaces for GenAI agents and leveraging Databricks' AI platform. The emphasis on 0-to-1 product development…
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 and AI infrastructure p…
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