At a Glance
- Tasks: Lead cutting-edge AI projects and optimise machine learning algorithms.
- Company: Global semiconductor leader driving innovation in AI technology.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with exciting challenges and career advancement.
- Why this job: Join a pioneering team and shape the future of AI technology.
- Qualifications: MSc in Computer Science and strong programming skills required.
The predicted salary is between 60000 - 80000 £ per year.
Our client is an international semiconductor company.
Responsibilities:
- Lead engineering efforts on complex research projects in machine learning and artificial intelligence.
- Optimize algorithms and ensure the scalability and robustness of research prototypes and systems.
- Coordinate closely with researchers to align engineering work with research objectives and project goals.
Requirements:
- MSc in Computer Science or related subject.
- Extensive experience researching machine learning algorithms and systems.
- Advanced proficiency in programming languages such as Python, C++, or similar.
- Experience with optimization, reinforcement learning, and/or large language models (LLMs).
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX).
- Experience with scalable system design and deployment in research or production environments.
- Exposure to chip design or applied AI research.
AI Engineer employer: microTECH Global LTD
As an international semiconductor company, we pride ourselves on fostering a dynamic and innovative work culture that empowers our AI Engineers to lead cutting-edge research projects in machine learning and artificial intelligence. Our employees benefit from extensive professional development opportunities, collaborative teamwork, and the chance to work with state-of-the-art technologies in a vibrant location that encourages creativity and growth.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and semiconductor fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those involving machine learning algorithms or deep learning frameworks. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your programming skills in Python and C++. Practice coding challenges and be ready to discuss your experience with optimization and reinforcement learning.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with machine learning algorithms and programming languages like Python or C++. We want to see how your skills align with our needs!
Showcase Your Projects:Include any relevant projects you've worked on, especially those involving optimization or large language models. This gives us a glimpse into your hands-on experience and problem-solving abilities.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about AI and how you can contribute to our team. Be sure to mention any experience with deep learning frameworks like TensorFlow or PyTorch.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at microTECH Global LTD
✨Know Your Algorithms
Brush up on your machine learning algorithms and be ready to discuss them in detail. Make sure you can explain how they work, their strengths and weaknesses, and any personal experiences you've had with implementing them.
✨Showcase Your Coding Skills
Since programming is key for this role, practice coding problems in Python or C++. Be prepared to solve a coding challenge during the interview, and don’t forget to explain your thought process as you go along.
✨Align with Research Objectives
Understand the company's research goals and how your engineering skills can support them. Be ready to discuss how you’ve previously collaborated with researchers and how you can bridge the gap between engineering and research.
✨Familiarity with Frameworks
Make sure you’re comfortable discussing deep learning frameworks like TensorFlow or PyTorch. If you have experience with scalable system design, share specific examples of how you’ve deployed systems in research or production environments.
