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- Tasks: Conduct cutting-edge AI research and design algorithms for chip optimisation.
- Company: Join MicroTECH-Global, a leader in advanced computing and AI innovation.
- Benefits: Enjoy a flexible hybrid work environment and opportunities for professional growth.
- Why this job: Make a real-world impact while collaborating with top researchers in a dynamic team.
- Qualifications: PhD or equivalent experience in ML, AI, CS, physics, or mathematics required.
- Other info: Strong publication record and proficiency in Python, C++, and deep learning frameworks preferred.
The predicted salary is between 43200 - 72000 £ per year.
About Us: MicroTECH-Global are working with a global leader in advanced computing, with a dedicated research team focused on applying artificial intelligence to next-generation semiconductor design and optimization.
Role Overview: We are seeking a motivated Deep Learning Researcher with a strong background in machine learning, AI, or related fields. You will contribute to innovative projects in areas such as large language models (LLMs), reinforcement learning, and optimization for chip design and AI system integration.
Responsibilities:
- Conduct and publish cutting-edge AI/ML research
- Design algorithms for chip optimization and intelligent systems
- Collaborate with engineering teams to integrate AI into real-world tools
- Stay current on AI trends and contribute to open research
Requirements:
- PhD or equivalent experience in ML, AI, CS, physics, or mathematics
- Strong publication record (NeurIPS, ICML, ICLR, etc.)
- Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow)
- Solid grasp of ML techniques; independent and team-oriented mindset
Preferred:
- Experience in LLMs, reinforcement learning, or chip design
- Familiarity with JAX and optimization frameworks
Why Join Us:
- Work on impactful AI research with real-world applications
- Collaborate with top researchers in a global team
- Flexible hybrid work environment
- Opportunities to publish, innovate, and grow professionally
Deep Learning Researcher in Cambridge employer: Microtech Global Ltd
Contact Detail:
Microtech Global Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Deep Learning Researcher in Cambridge
✨Tip Number 1
Familiarise yourself with the latest advancements in deep learning and AI, especially in areas like large language models and reinforcement learning. This will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with the research community by attending conferences or webinars related to AI and machine learning. Networking with professionals in the field can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 3
Showcase your practical experience by working on personal projects or contributing to open-source initiatives that involve deep learning frameworks like PyTorch or TensorFlow. This hands-on experience can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your previous research and publications in detail. Be ready to explain your methodologies and findings, as well as how they relate to the responsibilities of the Deep Learning Researcher role at MicroTECH-Global.
We think you need these skills to ace Deep Learning Researcher in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in machine learning, AI, and any specific projects related to deep learning. Emphasise your publication record and technical skills in Python, C++, and deep learning frameworks.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss your research interests, particularly in areas like large language models and reinforcement learning, and how they align with the company's goals.
Showcase Your Research: Include a section in your application that summarises your key research contributions, especially those published in top conferences like NeurIPS or ICML. Highlight any innovative algorithms or projects you've worked on that relate to chip design or AI integration.
Prepare for Technical Questions: Anticipate technical questions related to deep learning and machine learning techniques during the interview process. Brush up on your knowledge of optimisation frameworks and be ready to discuss your approach to algorithm design.
How to prepare for a job interview at Microtech Global Ltd
✨Showcase Your Research
Be prepared to discuss your previous research in detail, especially any publications in top conferences like NeurIPS or ICML. Highlight your contributions and the impact of your work on the field of AI and machine learning.
✨Demonstrate Technical Proficiency
Make sure you can confidently talk about your experience with programming languages such as Python and C++, as well as deep learning frameworks like PyTorch and TensorFlow. Consider preparing a small coding exercise or algorithm design to showcase your skills.
✨Stay Current on AI Trends
Familiarise yourself with the latest advancements in AI, particularly in areas relevant to the role, such as large language models and reinforcement learning. Being able to discuss recent developments will show your passion and commitment to the field.
✨Prepare for Collaboration Questions
Since the role involves working with engineering teams, be ready to discuss your experience in collaborative projects. Think of examples where you successfully integrated AI into real-world applications and how you navigated team dynamics.
