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- Tasks: Conduct original research in reinforcement learning and AI, and design innovative algorithms.
- Company: Join a global telecommunications leader driving innovation in AI.
- Benefits: Competitive salary, dynamic work environment, and opportunities for mentorship.
- Why this job: Make a real impact in AI applications while collaborating with a multidisciplinary team.
- Qualifications: PhD in machine learning or related fields with a strong research track record.
- Other info: Full-time position based in Greater London with excellent career growth potential.
The predicted salary is between 48000 - 72000 £ per year.
A global telecommunications leader is seeking a Research Scientist - Machine Learning. This role involves conducting original research in reinforcement learning and AI, designing algorithms, and mentoring junior researchers.
Ideal candidates will have a PhD and a strong research track record in machine learning fields. Join a multidisciplinary team to drive innovation and contribute to impactful AI applications in a dynamic environment. This is a full-time position based in Greater London.
Research Scientist, ML & RL Innovation (Contractor) in London employer: Huawei Technologies Research & Development (UK) Ltd
Contact Detail:
Huawei Technologies Research & Development (UK) Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist, ML & RL Innovation (Contractor) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of machine learning and reinforcement learning. Attend meetups, webinars, or conferences to connect with potential colleagues and mentors who can help you land that Research Scientist role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your research projects, algorithms, and any publications. This will give you an edge during interviews and demonstrate your expertise in ML and RL innovation.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your responses. Focus on explaining complex concepts clearly, as you'll need to communicate your ideas effectively to both technical and non-technical audiences.
✨Tip Number 4
Don't forget to apply through our website! We have a streamlined application process that makes it easy for you to showcase your qualifications. Plus, it shows you're genuinely interested in joining our innovative team.
We think you need these skills to ace Research Scientist, ML & RL Innovation (Contractor) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your research experience in machine learning and reinforcement learning. We want to see how your skills align with the role, so don’t be shy about showcasing your PhD and any relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. Let us know what excites you about this role and how you can contribute to our innovative projects.
Showcase Your Research Impact: When detailing your research, focus on the impact of your work. We love to see how your contributions have made a difference in the field of machine learning. Include any publications or presentations that highlight your achievements!
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 the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Huawei Technologies Research & Development (UK) Ltd
✨Know Your Research Inside Out
Make sure you can discuss your previous research projects in detail, especially those related to reinforcement learning and AI. Be prepared to explain your methodologies, findings, and how they can apply to the role you're interviewing for.
✨Showcase Your Algorithm Design Skills
Be ready to talk about specific algorithms you've designed or worked with. It’s a good idea to have examples that demonstrate your problem-solving skills and innovative thinking in machine learning.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of machine learning concepts. Brush up on key topics and be ready to solve problems on the spot, as this will show your analytical skills and depth of knowledge.
✨Highlight Mentorship Experience
Since mentoring junior researchers is part of the role, think of examples where you've guided others. Discuss your approach to mentorship and how you foster collaboration within a team, as this will resonate well with the interviewers.
