Senior Software Engineer, ML Model Operations

Apple

Cambridge, United Kingdom

Siri is used by hundreds of millions of people worldwide helping with their daily tasks. Powered by data, machine learning and software that applies ML to translate that data into the best possible user experience. To help continue this work we are looking for an innovative Software Engineer eager to push the boundaries of AI with a single aim: to make a real difference to the lives of Siri users.

Description

Working as part of an extraordinary team of top software engineers and specialist machine learning practitioners, we are passionate about applying state of the art techniques to conversational dialogue.

Siri processes more than a billion requests every week, so you will enjoy creating designs and leading teams to develop high quality software, implemented at scale.

You will design the software and tools that support, train, and test our machine learning models within Siri’s architecture to make Siri more intelligent.

Working with a high degree of autonomy, to be successful in the role you will drive the architecture of internal model pipelines and web services, that serve other internal teams at Apple. You will review designs and code by others and provide constructive feedback. You will share knowledge and coach others, whilst continuously learning from colleagues.

Based in Cambridge, we work closely with teams across Apple worldwide. This means occasional evening meetings with teams outside UK, and limited international travel may be required.

If this is you, we'd love to hear from you!

Minimum Qualifications

Experience in the architecture of internal tooling and ML model training/evaluation/promotion pipelines;
Software engineering experience in multiple languages and stacks for backend development;
Ability to scale up existing system and improve performances.

Preferred Qualifications

Ability to drive cross functional projects;
Ability to assist with product roadmap planning and iterate on internal user experience;
Experience in mentoring existing engineers on a growth trajectory;
Ability to help teams to set good engineering practices and help driving design decisions.