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- Aufgaben: Join us in revolutionizing human-computer interaction through cutting-edge machine translation technology.
- Arbeitgeber: Apple is a leader in innovation, creating products that connect people across language barriers.
- Mitarbeitervorteile: Enjoy a dynamic work environment with opportunities for growth and collaboration on impactful projects.
- Warum dieser Job: Be part of a passionate team driving exceptional translation quality in Apple's products.
- Gewünschte Qualifikationen: Strong programming skills and experience in machine translation or natural language processing are essential.
- Andere Informationen: Familiarity with cloud computing and deep learning is a plus; join us to make a difference!
Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.
Would you like to play a critical part in the next revolution of human-computer interaction? The Apple Machine Translation team is building groundbreaking technology that enables connecting people across language barriers. We are looking for an Applied Research Engineer who is passionate about developing and optimizing solutions to create, maintain and ship scalable and high-quality model assets for a multitude of languages that power Apple\’s Machine Translation products such as Translate App, Safari web translation and system-wide translation.
Description
Apple\’s Machine Translation is embedded into several products across the iOS, iPadOS, macOS and watchOS ecosystems: from Translate App that is used to communicate across different languages to system-wide translation that allows you to quickly translate any highlighted text into an ever-growing list of languages. Your role will be instrumental in applying and improving data and model training pipelines that allow for rapid expansion into supporting new languages and raising the bar for translation quality in shipped models. You will be part of a motivated and dynamic team that is responsible for managing data acquisition projects, training neural machine translation models, and driving evaluation criteria that help to establish an unprecedented translation quality in all of Apple\’s MT products.
Minimum Qualifications
- Strong programming and software engineering skills (Python, C++, Java, or equivalent).
- Experience in developing machine translation, speech recognition, or natural language processing systems.
- Proficiency in large-scale data processing (Spark, Dask, or equivalent) and data management/analytics.
- Excellent communication skills, team player, and ability to manage complex processes across multiple stakeholders with a motivation to create exceptional products for Apple’s customers.
Preferred Qualifications
- Proven experience in software engineering, with a focus on developing robust applications.
- Familiarity with deep learning and neural machine translation is a plus.
- Experience in distributed cloud computing environments (GCP, AWS) is a plus.
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AIML - Machine Learning Research, DMLI Arbeitgeber: Apple Inc.
Kontaktperson:
Apple Inc. HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: AIML - Machine Learning Research, DMLI
✨Tip Number 1
Familiarize yourself with Apple's Machine Translation products and their functionalities. Understanding how the Translate App and system-wide translation work will give you insights into the challenges and opportunities in this role.
✨Tip Number 2
Brush up on your programming skills, especially in Python, C++, or Java. Being proficient in these languages is crucial for developing and optimizing machine translation solutions.
✨Tip Number 3
Gain hands-on experience with large-scale data processing tools like Spark or Dask. This knowledge will be invaluable when working on data acquisition projects and model training pipelines.
✨Tip Number 4
Network with professionals in the field of machine learning and natural language processing. Engaging with the community can provide you with valuable insights and potentially lead to referrals for the position.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: AIML - Machine Learning Research, DMLI
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and qualifications required for the Applied Research Engineer position. Tailor your application to highlight how your skills and experiences align with these requirements.
Highlight Relevant Experience: In your CV and cover letter, emphasize your programming skills and any experience you have in machine translation, speech recognition, or natural language processing. Provide specific examples of projects or roles where you utilized these skills.
Showcase Communication Skills: Since excellent communication is a key requirement, include examples in your application that demonstrate your ability to work collaboratively in teams and manage complex processes across multiple stakeholders.
Tailor Your Cover Letter: Craft a personalized cover letter that not only reflects your passion for the role but also explains why you want to work at Apple specifically. Mention any familiarity with deep learning or cloud computing environments if applicable, as this could strengthen your application.
Wie du dich auf ein Vorstellungsgespräch bei Apple Inc. vorbereitest
✨Showcase Your Programming Skills
Make sure to highlight your strong programming and software engineering skills during the interview. Be prepared to discuss specific projects where you used Python, C++, or Java, and how these experiences relate to machine translation or natural language processing.
✨Demonstrate Your Experience with Data Processing
Since proficiency in large-scale data processing is crucial for this role, be ready to talk about your experience with tools like Spark or Dask. Share examples of how you've managed and analyzed data in previous projects to optimize model training.
✨Communicate Effectively
Excellent communication skills are essential for this position. Practice articulating your thoughts clearly and concisely, especially when discussing complex processes or technical concepts. This will show that you can effectively collaborate with team members and stakeholders.
✨Familiarize Yourself with Apple's Products
Research Apple's Machine Translation products, such as the Translate App and system-wide translation features. Understanding how these technologies work and their impact on user experience will demonstrate your genuine interest in the role and the company.
