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- Tasks: Conduct groundbreaking research in machine learning and collaborate on innovative projects.
- Company: Leading tech company in Cambridge with a focus on innovation.
- Benefits: Competitive salary, mentorship opportunities, and the chance to shape future products.
- Why this job: Join a team that influences the future of technology and drives impactful change.
- Qualifications: PhD in a relevant field, strong publication record, and deep learning experience.
- Other info: Dynamic work environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology company in Cambridge is seeking passionate researchers in machine learning to work on innovative and impactful projects. The role involves defining and executing research plans, mentoring colleagues, and collaborating across teams.
Candidates should have a PhD in a relevant field and a strong publication record in major conferences. Ideal candidates will also have hands-on experience with deep learning frameworks and strong mathematical and coding skills.
This position offers an opportunity to significantly influence Apple’s future products.
ML Researcher: Generative AI & LLMs Innovator in Cambridge employer: Apple
Contact Detail:
Apple Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Researcher: Generative AI & LLMs Innovator in Cambridge
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend conferences, and join online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving generative AI and LLMs. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining your research and how it relates to the role at hand – clarity is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace ML Researcher: Generative AI & LLMs Innovator in Cambridge
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for machine learning and generative AI shine through. We want to see how excited you are about the projects we’re working on and how you can contribute to our innovative team.
Highlight Your Experience: Make sure to detail your hands-on experience with deep learning frameworks and any relevant projects you've worked on. We love seeing a strong publication record, so don’t forget to mention those major conferences where you've showcased your work!
Tailor Your Application: Customise your application to align with the job description. We’re looking for candidates who can define and execute research plans, so highlight any relevant experiences that demonstrate your ability to do just that.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to influence Apple’s future products!
How to prepare for a job interview at Apple
✨Know Your Research Inside Out
Make sure you can discuss your past research projects in detail. Be prepared to explain your methodologies, findings, and how they relate to generative AI and LLMs. This shows your passion and expertise, which is crucial for a role that involves defining and executing research plans.
✨Showcase Your Collaboration Skills
Since the role involves collaborating across teams, think of examples where you've successfully worked with others. Highlight your mentoring experiences and how you’ve contributed to team success. This will demonstrate your ability to work well in a collaborative environment.
✨Brush Up on Deep Learning Frameworks
Familiarise yourself with popular deep learning frameworks like TensorFlow or PyTorch. Be ready to discuss your hands-on experience with these tools, as well as any innovative projects you've completed using them. This practical knowledge will set you apart from other candidates.
✨Prepare for Technical Questions
Expect technical questions that test your mathematical and coding skills. Review key concepts in machine learning and practice coding problems relevant to the role. Being able to solve problems on the spot will show your readiness for the challenges ahead.
