Job Description Summary The Data Engineer will design, build, and optimize scalable, secure data pipelines that power analytics and product platforms. For this role specifically, the focus will be on Machine Learning (ML) and Generative Artificial Intelligence
Purpose of the Position: The EarthRISE Project Office, within the Lab for Applied Science (LAS) under the Earth System Science Center (ESSC), is seeking a highly motivated Research Scientist with exceptional skills in applied agriculture, hydrology,
Worker TypeRegular Job Description Summary The Machine Learning Engineer II will be a member of the Learning and Active Perception (LEAP) group in AV’s MacCready Works division and develop a variety of innovative computer vision detection,
Worker TypeRegular Job Description Summary The Machine Learning Engineer III will have the opportunity to interact with R&D Group to develop a variety of innovative computer vision detection, classification, localization, and tracking solutions for defense and
Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world.
Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world.
Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world.
We are seeking a highly motivated System Engineer to join our Engineering team. This role will focus on the design, deployment, validation, and troubleshooting of high-performance computing systems and server platforms. The ideal candidate has strong
Position Overview: We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process engineers, software engineers, and fellow ML engineers,
We are seeking a Machine Learning Operations (MLOps) Contractor to drive semiconductor laser design and manufacturing excellence through the development and deployment of AI/ML within production. The emphasis will be on yield improvement, screening accuracy, and design
Responsibilities: Collaborate with design engineers and architects to define, document and implement detailed test plans for the SoC design verification Build and maintain infrastructure/environment for automation verification of SoC architecture, function and performance Develop reusable testbench,
Responsibilities: Develop, optimize, and deploy lightweight machine learning models for edge AI applications, particularly for audio processing. Implement and optimize ML models on embedded platforms, including FPGA and custom ASIC solutions. Work closely with hardware and software teams
Responsibilities: Develop, optimize, and deploy lightweight machine learning models for edge AI applications, particularly for audio processing. Implement and optimize ML models on embedded platforms, including FPGA and custom ASIC solutions. Work closely with hardware and software teams
This job is with Jabil, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.At Jabil (NYSE: JBL), we are proud
Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.
Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.