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- Tasks: Join us to conduct groundbreaking AI research and design algorithms for chip optimisation.
- Company: MicroTECH-Global is a leader in advanced computing, focusing on AI for semiconductor design.
- Benefits: Enjoy competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be part of innovative projects that shape the future of AI and technology.
- Qualifications: PhD or equivalent experience in ML, AI, CS, physics, or mathematics required.
- Other info: Ideal for those passionate about AI trends and open research contributions.
The predicted salary is between 43200 - 72000 £ per year.
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.
We are seeking a motivated Deep Learning Researcher with a strong background in machine learning, AI, or related fields. You’ll 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
Deep Learning Researcher 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
✨Tip Number 1
Make sure to showcase your research experience in deep learning and AI during networking events or conferences. Engaging with professionals in the field can help you gain insights and potentially lead to referrals.
✨Tip Number 2
Stay updated on the latest trends in AI and machine learning by following relevant journals and attending webinars. This knowledge will not only enhance your understanding but also give you talking points during interviews.
✨Tip Number 3
Consider contributing to open-source projects related to deep learning frameworks like PyTorch or TensorFlow. This demonstrates your practical skills and commitment to the field, making you a more attractive candidate.
✨Tip Number 4
Connect with current employees at MicroTECH-Global on platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and the specific skills they value, which can help tailor your approach.
We think you need these skills to ace Deep Learning Researcher
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: Write a compelling cover letter that explains why you are passionate about deep learning and how your background aligns with the role. Mention specific projects or research that demonstrate your expertise in LLMs or reinforcement learning.
Showcase Your Research: If you have published papers, include them in your application. Highlight your contributions to AI/ML research and any collaborations with engineering teams that resulted in practical applications.
Highlight Continuous Learning: Mention any recent courses, workshops, or conferences you’ve attended related to AI trends. This shows your commitment to staying current in the field and your enthusiasm for contributing to open research.
How to prepare for a job interview at Microtech Global Ltd
✨Showcase Your Research
Be prepared to discuss your previous research projects in detail. Highlight any publications, especially in top-tier conferences like NeurIPS or ICML, and explain how your work relates to the role at MicroTECH-Global.
✨Demonstrate Technical Proficiency
Make sure you can confidently talk about your experience with Python, C++, and deep learning frameworks such as PyTorch and TensorFlow. Consider preparing a small coding exercise or algorithm design discussion to showcase your skills.
✨Stay Updated on AI Trends
Research current trends in AI and machine learning, particularly in areas relevant to the role, such as large language models and reinforcement learning. Being able to discuss recent advancements 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 environments. Share examples of how you've successfully integrated AI into real-world applications and how you handle teamwork challenges.
