AIML – Software Engineer, Applied Machine Learning Full-time

Summary
Play a part in the next revolution of machine learning technology! Create groundbreaking technology for large scale systems, spoken language and artificial intelligence. And work with the people who created the intelligent assistant that helps millions of people get things done – just by asking.

Come and join the team that teaches Siri how to understand and speak new languages. We at Global Siri are passionate to build the future of intelligent assistants. We are looking for a Software Engineer with a strong Machine Learning background to join our team shaping the future of Siri in Global markets by integrating latest deep learning developments.

As part of this group, your work will range across different disciplines, this involves developing sophisticated machine learning models, adopting models in global markets, data generation experiments while also being focused on the integration of personalised experiences to each of our customer.

Description
As a member of our dynamic and fast-paced group, you’ll play a key role in crafting and bringing to life innovative solutions that delight millions of customers across the globe. You will lead work streams to design and implement large-scale ML solutions integrating the latest state of the art research in our global products to advance our customer experience.

While collaborating with partner teams across Apple, you’ll contribute by sharing your experience, delivering architectural proposals that account for international market needs, and maintaining an ethos of continual learning from your counterparts.

This position is at the intersection of Machine Learning and Software Engineering. The ideal candidate will have expertise with large language models, machine learning lifecycle management, data generation methods, model training & validation coupled with strong fundamentals and passion in software engineering and system architecture.

Join us as we navigate the forefront of the language processing evolution!