AI/ML - Machine Learning Engineer (Speech Translation), Machine Intelligence

Conteúdo do emprego

Summary

Apple’s Machine Learning and AI team transform every Apple product and because we fully integrate hardware and software, we can collaborate to deliver amazing experiences while protecting user data.
With iOS 14 we launched our Translate app to translate words and phrases in up to 11 languages. You can also save translations for quick access, get definitions for translated words and download languages so you can use them offline.
Join us to build the next generation of translation technology. Work on groundbreaking innovations, spoken language and huge datasets to allow users to communicate across language barriers.


Key Qualifications

Passionate about speech recognition or speech translation

Knowledge in speech technologies such as acoustic and/or language modeling, endpointer, language ID etc

Proficient with deep learning toolkits such as Tensorflow, PyTorch, etc.

Competent programming skills (e.g. Java, Python, C++, etc.)

Able to formulate research problems, experiment and implement solutions

Excellent spoken and written communication skills


Description

The Machine Translation team at Apple is responsible for developing technologies that enable users to seamlessly communicate without language barriers or access content in a foreign language through intuitive interfaces. Our valuable work impacts the lives of hundreds of millions of Apple users worldwide every day.
We’re responsible for a wide variety of language technologies related research and development activities. Your focus will be on language expansion, fine tuning deep learning models and improving the language specific models. This role will be part of the model automation team to deal with large quantities of data, apply the state-of-the-art methods in deep learning to tackle real world problems and create the production quality models, at scale. You should therefore be passionate about creating extraordinary products that are used by millions of people. You’re expected to be a great teammate who thrives in a fast paced environment with rapidly changing priorities.
You will craft and implement methods to address practical problems related to the mainstream adoption of Machine Translation including core technology, learning from user feedback, error recovery and user-interface design. Working as part of a team we all review designs and code by others and provide constructive feedback.
Based in Aachen, we work closely with teams across Apple worldwide. This means occasional evening meetings with teams outside Germany, and limited international travel may be required.
If this is you, we’d love to hear from you!


Education & Experience

Strong research and computer science fundamentals required - no matter how you got them.


Additional Requirements

Apple’s most important resource, our soul, is our people. Apple benefits help further the well-being of our employees and their families in meaningful ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programs. We’re proud to provide stock grants to employees at all levels of the company, and we also give employees the option to buy Apple stock at a discount — both offer everyone at Apple the chance to share in the company’s success. You’ll discover many more benefits of working at Apple, such as programs that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products.
Apple benefits programs vary by country and are subject to eligibility requirements.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace.


Role Number: 200256145