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- Tasks: Advance Siri's AI by solving machine learning challenges and developing deep learning technologies.
- Company: Leading tech company in Cambridge with a focus on innovation.
- Benefits: Opportunities to publish research, collaborate, and innovate in a dynamic environment.
- Why this job: Make a real impact on user experience for billions with cutting-edge AI technology.
- Qualifications: Strong background in deep learning, Python proficiency, and a Master’s or PhD in a technical field.
- Other info: Collaborative culture with exciting opportunities for career growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology company in Cambridge seeks a Machine Learning and AI researcher to advance Siri Conversational AI. You will solve core challenges in efficient machine learning, develop novel deep learning technologies, and improve user experience for billions.
A strong record in deep learning, proficiency in Python, and a Master’s or PhD in a technical field are essential. This role offers opportunities to publish research and innovate within a collaborative environment.
Siri Speech & Multimodal AI Researcher in Cambridge employer: Apple Inc.
Contact Detail:
Apple Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Siri Speech & Multimodal AI Researcher in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at tech meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in deep learning and machine learning. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past work. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about advancing AI and improving user experiences.
We think you need these skills to ace Siri Speech & Multimodal AI Researcher in Cambridge
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with deep learning and Python in your application. We want to see how your skills align with the challenges we face at StudySmarter, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Siri Speech & Multimodal AI Researcher role. We love seeing how you can connect your background to what we do here at StudySmarter.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your passion for AI and machine learning shines through without unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity at StudySmarter!
How to prepare for a job interview at Apple Inc.
✨Know Your Deep Learning Stuff
Make sure you brush up on your deep learning knowledge. Be ready to discuss your past projects and how you've tackled challenges in machine learning. They’ll want to see your expertise, so prepare some examples that showcase your skills.
✨Python Proficiency is Key
Since proficiency in Python is essential, practice coding problems and be prepared to demonstrate your coding skills during the interview. Familiarise yourself with libraries like TensorFlow or PyTorch, as they might come up in discussions.
✨Research and Innovation Mindset
This role offers opportunities to publish research, so think about any innovative ideas you could bring to the table. Be ready to discuss how you can contribute to advancing Siri Conversational AI and improving user experience.
✨Collaborative Spirit
They’re looking for someone who thrives in a collaborative environment. Prepare to talk about your experiences working in teams, how you handle feedback, and how you can contribute to a positive team dynamic.
