- Amazon (Santa Clara, CA)
- …scale. Basic Qualifications - PhD or Master's degree and 8+ years of applied machine learning experience. - Experience designing novel deep learning model ... (NeurIPS, ICML, ICLR, CVPR, ICCV, RSS, CoRL) OR Demonstrated experience in applying machine learning innovation in industry - Extensive track record of leading… more
- DoorDash (San Francisco, CA)
- …mobilization, minimize wait times, and enhance overall marketplace efficiency. We leverage machine learning , real-time data , and incentive strategies to ... lead a team of Backend, Mobile Engineers and Machine Learning focused on developing cutting-edge mobilization...incentives that drive Dasher engagement and efficiency. + Leverage machine learning and real-time data … more
- Highmark Health (Sacramento, CA)
- …for guiding and developing engineering teams specializing in software engineering, machine learning engineering, and infrastructure engineering. In this pivotal ... AI service development. From building scalable AI-integrated products and innovative machine learning engineering solutions to ensuring robust infrastructure… more
- Cedars-Sinai (Los Angeles, CA)
- …automated analysis of nuclear cardiology data using novel algorithms and machine learning techniques, and on the development of integrated motion-corrected ... creative contributions to NIH research projects. This position will lead current and future research projects related to PET...and technical expertise in scientific programming, medical imaging and machine learning methods is required to carry… more
- Snap Inc. (San Francisco, CA)
- …levels of a company. + Strong technical grasp of privacy fundamentals as well as machine learning , cryptography, data classification, and data lineage. ... + Demonstrated technical leadership in applications of privacy enhancing technologies, machine learning , and analytical techniques for privacy assurances and… more
- Meta (Menlo Park, CA)
- …our applications. 2. Design and develop a rich set of infra services and machine learning sub-systems and APIs to support the whole lifecycle of recommendation ... give feedback in alignment with company Performance Philosophy. 12. Continuously resolve deep Machine Learning infra system technical challenges and improve our … more
- Amazon (Santa Clara, CA)
- …of AI/ML innovation at AWS, driving initiatives that shape the future of machine learning systems and services. Key job responsibilities * Strategic Program ... science with a focus on media/document content extraction, fault resilient training, classical machine learning (ML) like Auto Machine Learning … more
- Qualcomm (San Diego, CA)
- …Executes tasks and solves straightforward issues related to the engineering and management of machine learning data with some guidance from more experienced ... of design using a defined test plan; present basic data analysis findings. * Uses appropriate tools to conduct...engineers. * Develops or adapts machine learning algorithms, models, or frameworks aligned… more
- Meta (Burlingame, CA)
- …algorithms, chip-level sensor design, gear-ratio optimization, dynamic system ID and machine learning 20. Experience with organizational and analytical skills, ... who will do research & applied research to help lead concept innovation, design, development, and prototyping of novel...MLBs fabrication, SMT, and/or FPCs fabrication. 29. Experience in Machine Learning tools. 30. Experience with simulation… more
- Amazon (San Francisco, CA)
- Description We are seeking a highly skilled Machine Learning Systems Engineer to join Frontier AI Robotics team. This role focuses on building and optimizing ... distributed training infrastructure for large-scale machine learning models, particularly in deep ...- from multimodal perception using images, videos, and sensor data , to sophisticated manipulation strategies that can handle diverse… more