AI Research Engineer: Build Practical ML Systems
AI Research Engineer: Build Practical ML Systems

AI Research Engineer: Build Practical ML Systems

Full-Time 30000 - 50000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Implement machine learning algorithms and build prototypes to advance AI technology.
  • Company: Global tech company dedicated to innovation in AI.
  • Benefits: Competitive pay, professional development, and mentorship opportunities.
  • Why this job: Join a team pushing the boundaries of AI and make a real difference.
  • Qualifications: Experience in AI and programming skills in Python or C++.
  • Other info: Exciting environment with great potential for career growth.

The predicted salary is between 30000 - 50000 £ per year.

A global technology company is seeking a Research Engineer focused on advancing AI through practical systems.

Responsibilities include:

  • Implementing machine learning algorithms
  • Building prototypes
  • Collaborating with researchers

Ideal candidates have experience in AI and programming in Python or C++.

A competitive compensation package is offered, with opportunities for professional development and mentorship.

AI Research Engineer: Build Practical ML Systems employer: MediaTek

Join a leading global technology company that prioritises innovation and collaboration in the field of AI. With a strong focus on professional development, employees benefit from competitive compensation, mentorship opportunities, and a dynamic work culture that encourages creativity and growth. Located in a vibrant tech hub, this role offers the chance to work alongside industry experts while contributing to cutting-edge machine learning systems.
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Contact Detail:

MediaTek Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Research Engineer: Build Practical ML Systems

✨Tip Number 1

Network like a pro! Reach out to people in the AI field on LinkedIn or at meetups. We can’t stress enough how valuable personal connections can be when it comes to landing that dream job.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's prototypes or algorithms you've implemented, having tangible examples can really set you apart from the crowd.

✨Tip Number 3

Prepare for those interviews! Brush up on your Python and C++ skills, and be ready to discuss your past experiences with AI systems. We recommend practicing common interview questions and even doing mock interviews with friends.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace AI Research Engineer: Build Practical ML Systems

Machine Learning Algorithms
Prototyping
Collaboration
AI Experience
Python Programming
C++ Programming
Research Skills
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in AI and programming, especially in Python or C++. We want to see how your skills align with the role of an AI Research Engineer.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for advancing AI and practical ML systems. Let us know why you’re excited about this opportunity and how you can contribute to our team.

Showcase Your Projects: If you've built prototypes or implemented machine learning algorithms, don’t hold back! Include links or descriptions of your projects to demonstrate your hands-on experience. We love seeing what you can do!

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 don’t miss out on any important updates from our team.

How to prepare for a job interview at MediaTek

✨Know Your Algorithms

Brush up on the machine learning algorithms relevant to the role. Be prepared to discuss how you've implemented them in past projects, and think of examples where you’ve solved real-world problems using these techniques.

✨Showcase Your Prototypes

If you've built any prototypes or practical systems, bring them up during the interview. Discuss the challenges you faced and how you overcame them. This shows your hands-on experience and problem-solving skills.

✨Collaborate Like a Pro

Since collaboration is key in this role, be ready to share experiences where you worked with others on AI projects. Highlight your communication skills and how you contributed to team success.

✨Python or C++? Be Ready!

Make sure you're comfortable discussing your programming experience in Python or C++. Prepare to answer technical questions or even solve coding problems on the spot to demonstrate your proficiency.

AI Research Engineer: Build Practical ML Systems
MediaTek
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  • AI Research Engineer: Build Practical ML Systems

    Full-Time
    30000 - 50000 £ / year (est.)
  • M

    MediaTek

    5000-10000
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