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- Aufgaben: Join us in revolutionizing speech translation technology for seamless communication across languages.
- Arbeitgeber: Be part of a cutting-edge AIML team focused on real-world machine translation solutions.
- Mitarbeitervorteile: Collaborate with top researchers and engineers, and make a significant impact on global communication.
- Warum dieser Job: Work on innovative projects that bridge language barriers and enhance user experiences worldwide.
- 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 speech 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 and attend conferences to stay updated on trends and breakthroughs in the field.
✨Tip Number 2
Engage with the community by participating in forums or online groups focused on machine learning and speech recognition. Networking with professionals can provide insights and potential referrals.
✨Tip Number 3
Showcase your hands-on experience with deep learning toolkits like TensorFlow or PyTorch through personal projects or contributions to open-source initiatives. This practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your approach to solving real-world problems in speech translation during interviews. Be ready to share examples of how you've tackled challenges in previous projects, emphasizing your problem-solving skills.
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 and understand the responsibilities and qualifications required for the AIML - Machine Learning Research position. Tailor your application to highlight relevant experiences and skills.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with machine learning technologies, especially in speech recognition and translation. Mention specific projects or research that demonstrate your expertise in these areas.
Showcase Technical Skills: Clearly outline your hands-on experience with deep learning toolkits like Tensorflow and PyTorch. Include any programming languages you are proficient in, such as C/C++, Java, or Python, and provide examples of how you've used them in past projects.
Communicate Effectively: Since excellent communication skills are a requirement, ensure that your application is well-written and free of errors. Use clear and concise language to convey your passion for technology and your collaborative spirit.
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 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 had to troubleshoot issues in machine translation or user-interface design, and be ready to explain your thought process.
✨Communicate Clearly and Effectively
Since excellent communication skills are crucial for this role, practice articulating your ideas clearly. Be concise and structured in your responses, especially when discussing complex technical concepts or your past experiences.
