Summary
Apple’s on-device machine learning (ODML) team is looking for an exceptional software engineer to expand and support its suite of frameworks and tools. In this highly collaborative role, you will be working with multiple teams within Apple to bring machine learning and artificial intelligence to the hands of third-party (3P) app developers.
We’re looking for a highly motivated engineer that is creative, talented, and passionate about products and enjoys fast, iterative development. You should enjoy drilling down into model optimization and customization, moving up to API design, all the way to creating your own frameworks and providing supporting content such as sample code and tutorials to empower 3P app developers.
Description
You will develop, maintain and support Apple’s ML tools and frameworks, including but not limited to, Create ML and Core ML, with the goal of supporting 3P developers’ adoption and adaptation of ML models to enable new use cases. You will have the opportunity to work cross-functionally with various teams at Apple and impact a number of technologies. You will gain a deep understanding of our on-device ML technologies in order to effectively work with both internal and external developers and advise them on best practices for deploying ML solutions on Apple hardware.
Project Role : AI / ML EngineerProject Role Description : Develops applications and systems that utilize AI to improve performance...
How to applyIf you’re a professional who works with text, we have an exciting opportunity to use your writing, editing, technical, and...
How to applyJob Description It is an exciting time to be a part of the Oracle Cloud Development organization. As we continue...
How to applyJoin the team building software which will be used by the entire world. Work with high-class software engineers to implement...
How to applyAbout Us: SentinelOne is defining the future of cybersecurity through our XDR platform that automatically prevents, detects, and responds to...
How to applyEvinova delivers market-leading digital health solutions that are science-based, evidence-led and human experience-driven. Smart risks and quick decisions come together...
How to apply