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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 in semiconductor design.
- Benefits: Enjoy competitive salary, flexible work 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 AI and machine learning during networking events or conferences. Engaging with professionals in the field can help you gain insights into the latest trends and potentially lead to referrals.
✨Tip Number 2
Join online forums and communities focused on deep learning and AI, such as GitHub or relevant subreddits. Actively participating in discussions can help you build connections and demonstrate your expertise to potential employers.
✨Tip Number 3
Consider contributing to open-source projects related to deep learning frameworks like PyTorch or TensorFlow. This not only enhances your skills but also showcases your commitment to the field, making you a more attractive candidate.
✨Tip Number 4
Stay updated on the latest publications in top-tier conferences like NeurIPS or ICML. Being knowledgeable about recent advancements can give you an edge in interviews and discussions with potential employers.
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 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, reinforcement learning, or chip design.
Showcase Your Research: Include a section in your application that summarises your key research contributions, especially those published in top conferences like NeurIPS, ICML, or ICLR. This will help illustrate your capability to conduct cutting-edge research.
Highlight Collaboration Skills: Since the role involves collaboration with engineering teams, mention any previous experiences where you worked in a team setting. Highlight your ability to integrate AI into practical applications, showcasing your teamwork and communication skills.
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 the impact of your work on the field of deep learning.
✨Demonstrate Technical Proficiency
Make sure you can confidently talk about your experience with programming languages such as Python and C++. Be ready to discuss specific deep learning frameworks like PyTorch or TensorFlow, and perhaps even solve a coding problem during the interview.
✨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. This will show your passion for the field and your commitment to staying at the forefront of technology.
✨Prepare for Collaborative Questions
Since collaboration is key in this role, think of examples from your past experiences where you successfully worked in a team. Be ready to discuss how you integrate AI into real-world applications and how you communicate complex ideas to non-technical stakeholders.
