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- Tasks: Conduct innovative AI research and design algorithms for semiconductor projects.
- Company: Leading global computing research firm with a focus on cutting-edge technology.
- Benefits: Flexible hybrid work, professional growth opportunities, and publishing chances.
- Why this job: Join a team pushing the boundaries of AI in semiconductor design.
- Qualifications: PhD in a relevant field and strong skills in Python and C++.
- Other info: Collaborative environment with a focus on innovation and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
A leading global computing research firm is looking for a motivated Deep Learning Researcher to contribute to innovative AI projects in semiconductor design. This role involves conducting cutting-edge AI/ML research, designing algorithms, and collaborating with engineering teams.
Requires a PhD in a relevant field and proficiency in Python and C++. The position offers a flexible hybrid work environment and opportunities for professional growth and publishing.
AI Research Scientist — Deep Learning & LLMs (Hybrid) in Cambridge employer: Microtech Global Ltd
Contact Detail:
Microtech Global Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Research Scientist — Deep Learning & LLMs (Hybrid) in Cambridge
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and semiconductor fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your passion for deep learning.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those involving Python and C++. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your algorithm design skills. Practice coding challenges that focus on deep learning concepts, as this will help you feel more confident when tackling real-world problems.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates. Plus, it’s super easy!
We think you need these skills to ace AI Research Scientist — Deep Learning & LLMs (Hybrid) in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in deep learning and AI/ML research. We want to see how your skills align with the role, so don’t be shy about showcasing your PhD work and any projects that involved Python and C++.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and semiconductor design. We love seeing candidates who can articulate their motivation and how they can contribute to our innovative projects.
Showcase Your Research: If you’ve published papers or contributed to significant research, make sure to mention it! We’re keen on candidates who have a track record of cutting-edge research, so include links or references to your work if possible.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Microtech Global Ltd
✨Know Your Stuff
Make sure you brush up on the latest trends in deep learning and LLMs. Be ready to discuss your previous research and how it relates to semiconductor design. This shows you're not just knowledgeable but also genuinely interested in the field.
✨Showcase Your Skills
Prepare to demonstrate your proficiency in Python and C++. You might be asked to solve a coding problem or explain your thought process behind an algorithm. Practising common coding challenges can really help you shine.
✨Collaborative Spirit
Since this role involves working with engineering teams, be prepared to discuss your experience in collaboration. Share examples of how you've successfully worked in teams, especially in research settings, to highlight your ability to communicate and contribute effectively.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company's current projects in AI/ML and how they envision the role evolving. This shows your enthusiasm and helps you gauge if the company is the right fit for you.
