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Apple Machine Learning Engineer Generative AI United States, California, Cupertino
PhD, or Master degree in Computer Science, Machine Learning, Applied Mathematics, or similar; or equivalent practical experience. Experience in Retrieval Augmented Generation, Knowledge Graphs, Search and Retrieval with an understanding...
BS/MS in Computer Science, Distributed Systems, Software Engineering, or related field. Strong computer science fundamentals (system's design, OO, data structures and algorithms). Experience designing, building, maintaining, and extending production ecosystems...
8+ years of Cloud Native Engineering Experience. Strong Kubernetes knowledge and experience writing operators. Proficient with various programming languages such as Go or Java and API patterns using REST/gRPC. Experience...
BSEE or advance degree in technical discipline. Technical Expertise: Demonstrated proficiency in high-speed analog/mixed-signal architecture and circuit design, including frequency synthesizers, ADCs, DACs, RO/LC oscillators, regulators, on-chip sensors, compensation techniques,...
Prior experience with Swift programming and developing iOS test automation with Xcode UI automation framework is required. Strong software development/test automation skills, with high proficiency in Python is required. BS...
Ability to thrive in a highly collaborative environment focused on learning. Excellent communication skills. Strong object-oriented programming experience. Thorough understanding of a manual memory managed and pointer-based language such as...
Your impactHere's what you'll needREQUIREMENTS: This position requires a Master’s degree or foreign equivalent in Civil Engineering, Architectural Engineering, or related field. In Lieu of the requirements listed above, employer...
PhD, or Master degree in Computer Science, Machine Learning, Applied Mathematics, or similar; or equivalent practical experience. Experience in Retrieval Augmented Generation, Knowledge Graphs, Search and Retrieval with an understanding...
Right now, the demand for exceptional DSP Engineers is at an all-time high. These innovative professionals are some of the most sought-after professionals in the tech industry today. They take big ideas from the world of engineering, physics, and mathematics and make them a reality.
In the role of DSP Engineer, individuals are responsible for developing, designing, and managing digital signal processing (DSP) algorithms and applications. One must have a strong understanding of digital signal processing fundamentals and advanced mathematics in order to pursue a career in this field. The most important responsibilities of a DSP Engineer include working with system-on-chip development and embedded subsystem implementations as well as developing, analyzing, and troubleshooting DSP algorithms.
As a DSP Engineer, you’ll be expected to stay current with the latest technologies, trends and innovations in the field, as well as maintaining up-to-date knowledge on industry best practices. You will be a key member of the engineering team and will be tasked with critical processes, the development of cutting-edge and cost effective technologies, and the execution of new projects.
If you have a passion and aptitude for engineering, a comprehensive understanding of digital signal processing, and the drive to find and implement groundbreaking solutions, then a career as a DSP Engineer is right for you. With Expoint's platform specifically made for the tech industry, you are one step closer to finding the perfect career.