San Francisco, CAUSAgreenhouse2026-08-25
Warum echter KI-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…
Details Quelle / Bewerbung öffnen
Washington, DCUSAgreenhouse2026-08-25
Warum echter KI-Job: The role explicitly focuses on developing and deploying machine learning models (including LLMs, GenAI, computer vision) in production environments. The job description details tasks directly related to ML model building, training, tuning, and infrastructure…
The goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of…
Details Quelle / Bewerbung öffnen
USAworkable2026-08-25
Warum echter KI-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
Details Quelle / Bewerbung öffnen
USAworkable2026-08-25
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
Details Quelle / Bewerbung öffnen
San Francisco, CaliforniaUSAgreenhouse2026-08-25
Warum echter KI-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,…
Details Quelle / Bewerbung öffnen
Mountain View, CaliforniaUSAgreenhouse2026-08-25
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…
Details Quelle / Bewerbung öffnen
Belgrade, SerbiaUSAgreenhouse2026-08-25
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…
Details Quelle / Bewerbung öffnen
Tokyo, JapanUSAgreenhouse2026-08-25
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 in the AI space. The job description heavily emphasizes practical experience with relevant tools and techniques.
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…
Details Quelle / Bewerbung öffnen
London, UKUSAFullTimeashby2026-08-25
Warum echter KI-Job: The role explicitly focuses on designing, building, and deploying AI systems for enterprise customers. The job description heavily emphasizes hands-on engineering with AI/ML models, evaluation, productionization, and solving complex technical challenges relat…
About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportuniti…
Details Quelle / Bewerbung öffnen
San FranciscoUSAFullTimeashby2026-08-25
Warum echter KI-Job: The role is explicitly focused on researching and developing machine learning models for multimodal perception and authentication. The job description heavily emphasizes ML techniques, model development, data analysis, and integration into real-world systems.
About the Team The Future of Computing Research team is an applied research team within OpenAI’s Consumer Devices group. We study how AI systems perceive people and their surroundings, and we turn that research into capabilities for future products. Our work spans machine learning, sensing, and har…
Details Quelle / Bewerbung öffnen