…We are looking for an experienced and highly capable Data & Applied Scientist to help us drive step function improvements in our ML capabilities at…

…HANDSHAKE AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training…

…Engineering, Business Intelligence, Data Science and Product teams to continuously improve and build our data infrastructure, data model, tools and data pipelines. Your work…

…In addition, you will collaborate with engineers and scientists across the team to develop cloud-based robot log replay and simulation capabilities.. Key job…

We are seeking an Applied Scientist II to work on development of an AI-based data intelligence and classification platform that will redefine how…

…data programs ranging from attribution pipelines, northstar weblabs metrics to causal frameworks. (ii) delivering exceptional Analytics & Science infrastructure for DISCO teams, fostering a data…

…You will build and maintain tooling, automation, and data infrastructure across test infrastructure, observability and analytics, distributed systems for link operations, and ML model…

…As member of the Horizon’s Robotics Team, you’ll work alongside welders, data scientists, and material scientists, creating an end-to-end additive…

…unified data exploration and visualization tools used daily by engineers, scientists, and operations - Implementing ongoing learning systems that intelligently select which data to collect…

…simulation pipelines at scale, architecting workflows that connect simulation outputs to data infrastructure, ML systems, and autonomous experimentation loops. YOU WILL THRIVE HERE IF…

…You will work with a diverse set of very large multi-modal real-world datasets, including imagery, natural language and structured data. You will…

…of Data and ML infrastructure to power GenAI applications. We are a team of Data Engineers working closely with Applied Scientists, Data Scientists, and…

…Key job responsibilities • Design, implement, and support data warehouse data lake infrastructure using AWS big data stack, Python, Redshift. • Develop and manage ETLs to…

…latency optimization, and working within serving infrastructure constraints - Practical experience with noisy, imperfect, or sparse training data — including techniques such as semi-supervised learning…

…and data scientists. We are looking for a Senior Data Engineer II who brings a software engineer's mindset to data infrastructure. This isn…

…We are looking for an Applied Scientist II to push the science behind Natural Language Search that interprets complex, constraint-rich shopping queries, retrieves…

…Our team combines software development engineers, applied scientists, technical program managers, and systems development engineers, giving us the breadth to tackle problems end-to…

…You will have opportunities to collaborate and work with research scientists, applied scientists, data scientists and cross-functional teams on innovative automation solutions for…

…Applied Scientists, and Technical Artists at Amazon Robotics. We build the simulation infrastructure that powers Physical AI development, from photorealistic synthetic data to GPU…

…How much network capacity do we need, and where? What infrastructure should be built, and when? As an Applied Scientist on the team, you…

Join the OTS Data ANCHOR team to build strategic data infrastructure powering Amazon's Operations Technology ecosystem. Our team provides critical data infrastructure support…

…Collaborate with cross-functional teams, including network engineers and data scientists, to integrate AI/ML solutions into Microsoft’s network infrastructure. Troubleshoot live-site…

…Partner closely with product managers, data scientists, and tech leads to shape problem definitions, translate business needs into technical strategy, and drive execution toward…

…The AWS Managed Operations Intelligence (MOI) Team is looking for a Data Scientist to lead the research and thought leadership to drive our data…

…We're a collaborative team of approximately 50+ engineers, applied scientists, and program managers working across frontend, backend, machine learning, and platform infrastructure. Our…