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- Aufgaben: Join us to revolutionize speech translation technology and enhance user communication.
- Arbeitgeber: Be part of a cutting-edge AIML team focused on breaking language barriers.
- Mitarbeitervorteile: Collaborate with top researchers and engineers, and make a real-world impact.
- Warum dieser Job: Work on innovative projects that empower millions to communicate effortlessly across languages.
- Gewünschte Qualifikationen: M.S or PhD in Computer Science; experience with machine learning and deep learning toolkits required.
- Andere Informationen: Ideal for tech enthusiasts eager to tackle real-world challenges in machine translation.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
AIML – Machine Learning Research (Speech), DMLI
The AIML – Machine Translation team is looking for outstanding researchers/scientists to develop the next generation of speech translation technology to allow our users to communicate across language barriers.
Description
You will take part in the next revolution of confluence between machine translation and human-computer interaction. Build significant impact in shipping machine translation technology to real-world users. Enable our users to seamlessly communicate without language barriers or access content in a foreign language through intuitive interfaces. Address practical problems related to mainstream adoption of Machine Translation including core technology, learning from user feedback, error recovery and user-interface design. We are looking for people who have a deep real passion for technology and collaborate with a team of researchers, engineers and designers towards making it available in the hands of millions of dedicated customers.
Responsibilities
- Conduct independent applied research in the area of speech translation.
- Design large-scale, user-facing speech translation systems.
Minimum Qualifications
- M.S or PhD in Computer Science or Related Field.
- Experience with machine learning technologies for speech recognition (ideally in the context of speech translation).
- Hands-on experience working with deep learning toolkits such as Tensorflow, PyTorch, etc.
Preferred Qualifications
- Design and deployment of real-world, large-scale, user-facing speech recognition systems.
- Ability to formulate a research problem, design, experiment and implement solutions in C/C++/Java, Python/Perl, bash scripting, etc.
- Excellent spoken and written communication skills.
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AIML - Machine Learning Research (Speech), DMLI Arbeitgeber: Apple Inc.
Kontaktperson:
Apple Inc. HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: AIML - Machine Learning Research (Speech), DMLI
✨Tip Number 1
Familiarize yourself with the latest advancements in speech translation technology. Follow relevant research papers, attend conferences, and engage with online communities to stay updated on trends and breakthroughs in the field.
✨Tip Number 2
Showcase your hands-on experience with deep learning toolkits like TensorFlow and PyTorch. Consider contributing to open-source projects or creating your own projects that demonstrate your skills in building speech recognition systems.
✨Tip Number 3
Network with professionals in the AIML and machine translation space. Attend meetups, webinars, or workshops to connect with researchers and engineers who can provide insights and potentially refer you to opportunities at StudySmarter.
✨Tip Number 4
Prepare to discuss practical problems related to mainstream adoption of machine translation during interviews. Think about user feedback, error recovery, and user-interface design, and be ready to share your ideas on how to address these challenges.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: AIML - Machine Learning Research (Speech), DMLI
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the AIML - Machine Learning Research position. Understand the responsibilities and qualifications required, especially focusing on speech translation technology and machine learning.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with machine learning technologies, particularly in speech recognition. Mention any hands-on work with deep learning toolkits like TensorFlow or PyTorch.
Showcase Your Passion: Demonstrate your passion for technology and research in your application. Share specific examples of projects or experiences that reflect your enthusiasm for machine translation and human-computer interaction.
Tailor Your Communication Skills: Since excellent communication skills are essential for this role, ensure your application reflects your ability to communicate complex ideas clearly. Use concise language and structure your documents well to showcase your written communication skills.
Wie du dich auf ein Vorstellungsgespräch bei Apple Inc. vorbereitest
✨Show Your Passion for Technology
Make sure to express your genuine enthusiasm for machine translation and speech recognition technology. Share specific examples of projects or research that ignited your passion and how you envision contributing to the team's mission.
✨Demonstrate Your Technical Skills
Be prepared to discuss your hands-on experience with deep learning toolkits like TensorFlow and PyTorch. Highlight any relevant projects where you've designed or deployed large-scale speech translation systems, and be ready to dive into technical details.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to formulate research problems and implement solutions. Think of scenarios where you've tackled challenges in machine learning or user-interface design, and be ready to explain your thought process.
✨Communicate Clearly and Effectively
Since excellent communication skills are crucial, practice articulating your ideas clearly. Be concise and structured in your responses, especially when discussing complex technical concepts, to ensure the interviewers can follow your thought process.
