Machine Learning Engineer Jobs In Capitola, California - 143 Job Positions Available

SummaryThe Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and machine learning engineers passionate about delivering innovative technologies that impact millions

SummaryApple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making

SummaryApple’s products combine the best hardware and incredible software to deliver magical experiences to our customers. The Proactive Intelligence team builds features that anticipate customer’s needs and create personalized experiences by adapting to user behaviors with

SummaryAt Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses! Our technology powers ads and

SummaryAt Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses. Our technology powers ads and

SummaryAt Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses! Our technology powers ads and

SummaryAt Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses! Our technology powers ads and

SummaryJoin the SoC Architecture team building ML and generative AI systems that shape how future Apple silicon is architected and tuned. Were looking for an AI/ML Engineer who can turn complex hardware data into architectural insight. You

SummaryThe Applied Sensing & Health team has built innovative ways for users to improve their health and fitness. When you exercise and move with your devices, it’s the sensor fusion algorithms from the engineers and scientists on

SummaryVideo is at the core of nearly all Apple products, and as a research engineer on our team, you will build the infrastructure, pipelines, systems, and models that power the next generation of video technology. We are

Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe,

Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SoCs that are used to power today’s AI workloads in datacenters all around the world. As a SoC Power Engineer, you’ll contribute to the project at the ground

SummaryJoin the team redefining what a deeply personal and integrated assistant can be. As part of the Siri organization, you will help shape one of the worlds most widely used AI assistants, powered by our next-generation

SummaryWant to work on cutting edge technology that keeps the customer front and center? The Video Engineering group at Apple is responsible for creating the image/video core technologies used in almost all Apple products and services.

SummaryThe Software Localization team powers the tooling, features and processes used to create an exceptional localized experience for Apple’s international customers. We are responsible for the localization workflows in Xcode, framework-level localization support, localized OS features,

SummaryImagine being at the forefront of an evolution where powerful AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models

SummaryThe On-Device Machine Learning team at Apple is responsible for enabling the Research to Production lifecycle of cutting edge machine learning models that power magical user experiences on Apple’s hardware and software platforms. Apple is the best place to do