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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, collaborative environment, and opportunities for publishing your research.
- 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 eager to make an impact.
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’re 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
If interested please apply below or send your CV to Trei@microtech-global.com
Contact Detail:
Microtech Global Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Deep Learning Researcher
✨Tip Number 1
Network with professionals in the AI and deep learning community. Attend conferences, webinars, or local meetups to connect with researchers and industry experts. This can lead to valuable insights and potential referrals for the position.
✨Tip Number 2
Engage with the latest research by reading papers from top conferences like NeurIPS and ICML. Being well-versed in current trends and breakthroughs will not only enhance your knowledge but also demonstrate your passion and commitment during interviews.
✨Tip Number 3
Showcase your projects on platforms like GitHub or personal websites. Highlight any relevant work involving deep learning frameworks such as PyTorch or TensorFlow, especially if it relates to chip design or LLMs. This practical demonstration of your skills can set you apart.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and algorithm design problems. Focus on areas relevant to the role, such as optimisation techniques and reinforcement learning, to ensure you're ready to impress during the interview process.
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, particularly in Python, C++, and deep learning frameworks.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for AI and deep learning. Mention specific projects or research that align with the role and demonstrate how your background makes you a perfect fit for their team.
Highlight Relevant Experience: In your application, focus on your experience with large language models, reinforcement learning, and chip design if applicable. Provide examples of how you've contributed to similar projects or research in the past.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
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-tier conferences like NeurIPS or ICML. Highlight your contributions and the impact of your work on the field of deep learning.
✨Demonstrate Technical Proficiency
Make sure you can confidently discuss your experience with programming languages such as Python and C++, as well as deep learning frameworks like PyTorch and TensorFlow. Be ready to solve technical problems or answer questions related to these tools during the interview.
✨Stay Updated on AI Trends
Familiarise yourself with the latest advancements in AI and machine learning, particularly in areas relevant to the role, such as large language models and reinforcement learning. This will show your passion for the field and your commitment to continuous learning.
✨Collaborative Mindset
Emphasise your ability to work both independently and as part of a team. Be prepared to discuss past experiences where you collaborated with engineering teams or contributed to interdisciplinary projects, as this is crucial for integrating AI into real-world applications.
