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Elastic
San Francisco, CA, United States
Elastic is a free and open search company that powers enterprise search, observability, and security solutions built on one technology stack that can be deployed anywhere. From finding documents to monitoring infrastructure to hunting for threats, Elastic makes data usable in real-time and at scale. Thousands of organizations worldwide, including B
Job Source: ElasticRetool
San Francisco, CA, United States
WHY WE'RE LOOKING FOR YOU: Retool started as a way to address obstacles with internal tools and has grown into a company that solves internal tooling for thousands of companies, from one-person startups to S&P 500 enterprises. We’ve done a lot with a little–we have a rapidly growing engineering team and a laundry list of features and foundational i
Job Source: RetoolCanonical
San Francisco, CA, United States
Engineering managers at Canonical are always coders who are able to review and lead both architecture and code. They should also of course be astute judges of character, and comfortable setting expectations and holding colleagues accountable to them. We are investing in the Grafana logging, monitoring and observability stack, to make it easier to
Job Source: CanonicalElastic
Mountain View, CA, United States
Elastic is a free and open search company that powers enterprise search, observability, and security solutions built on one technology stack that can be deployed anywhere. From finding documents to monitoring infrastructure to hunting for threats, Elastic makes data usable in real-time and at scale. Thousands of organizations worldwide, including B
Job Source: ElasticOpenAI
San Francisco, CA, United States
Join the engineering teams that bring OpenAI's ideas safely to the world!! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI's technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and
Job Source: OpenAIElastic
Mountain View, CA, United States
Elastic is a free and open search company that powers enterprise search, observability, and security solutions built on one technology stack that can be deployed anywhere. From finding documents to monitoring infrastructure to hunting for threats, Elastic makes data usable in real-time and at scale. Thousands of organizations worldwide, including B
Job Source: ElasticX Corp.
San Francisco, CA, United States
Are you prepared to join the X team and help build the ultimate real-time information-sharing app, revolutionizing how people connect? At X, we're on a mission to become a trusted global digital public square, committed to minimal censorship within legal boundaries. Our goal is to empower every user to freely create and share ideas, fostering open
Job Source: X Corp.OpenAI
San Francisco, CA, United States
Join the engineering teams that bring OpenAI's ideas safely to the world!! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI's technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and
Job Source: OpenAISan Mateo, CA, United States
Observe is a SaaS Observability tool that enables Engineering and DevOps teams to troubleshoot modern distributed applications 10x faster. Our platform ingests any machine-generated data (logs, metrics, traces, etc.) and shapes and links arbitrary data resources using our custom language OPAL. To enable our customers to write efficient OPAL, we have recently introduced a chatbot and a co-pilot to convert natural language to OPAL statements.
Our vision is to automate the debugging process using AI features so that the DevOps engineers can focus on resolving incidents and are guided to a quick resolution by our platform. We are looking for senior engineers to drive the development in this area from an early proof of concept to product. You will have massive amounts of of data at your fingertips and cutting edge problems to solve in applied AI and machine learning. As one of the first engineers in this space, you will have freedom to drive our company’s direction for the years to come and will report directly to the Head of Platform & AI in the US.
Ideal Candidate Profile
Masters or PhD in a relevant field, e.g., in Computer Science / Mathematics at least 3 years of industry experience using ML data pipelines, training generative AI models, tuning and deploying them deep and applied understanding of generative AI fundamentals (deep learning, embeddings, transformers, etc.). Experience in the observability space is a plus and experience working in international teams is a plus.
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Email Alert for Observability AI Lead jobs in San Mateo, CA, United States
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