At a Glance
- Tasks: Lead cutting-edge research in machine learning and AI, optimising algorithms for real-world applications.
- Company: Join a leading international semiconductor company at the forefront of technology.
- Benefits: Competitive salary, opportunities for mentorship, and a dynamic work environment.
- Other info: Exciting career growth opportunities and a chance to contribute to groundbreaking publications.
- Why this job: Make a significant impact in AI research while collaborating with top experts in the field.
- Qualifications: PhD in Computer Science or related field, with strong programming skills and research experience.
The predicted salary is between 60000 - 80000 £ per year.
Location: London or Cambridge, UK
Type: Permanent
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
- Mentor and provide technical guidance to junior engineers and research staff
- Contribute to technical publications and assist in preparing research documentation
- Maintain and improve research infrastructure, tools, and workflows
- Stay up to date with the latest advancements in AI, engineering best practices, and related fields
Requirements:
- PhD in Computer Science or related subject
- Track record of contributing to top publications or open-source projects
- Extensive experience researching machine learning algorithms and systems
- Advanced proficiency in programming languages such as Python, C++, or similar
- Proven ability to lead engineering projects and work both independently and collaboratively
- Experience mentoring junior engineers or technical staff
- Strong problem-solving skills and excellent communication abilities, including technical documentation
- 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
If this sounds like it could be of interest, please apply below or reach out to.
Researcher - Science in London employer: microTECH Global LTD
As a leading international semiconductor company, we pride ourselves on fostering a dynamic and innovative work culture that encourages collaboration and continuous learning. Our London and Cambridge locations offer unique opportunities for professional growth, with access to cutting-edge research projects in machine learning and artificial intelligence, as well as mentorship from industry experts. Join us to be part of a forward-thinking team that values your contributions and supports your career development in a thriving tech environment.
StudySmarter Expert Advice🤫
We think this is how you could land Researcher - Science in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Researcher - Science in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your PhD, relevant projects, and any publications to show us you’re the right fit for the Researcher role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about deep learning and how your background aligns with our needs. Be specific about your experience with machine learning algorithms and mentoring, as these are key for us.
Showcase Your Technical Skills:Don’t forget to mention your programming prowess! Whether it’s Python, C++, or your experience with frameworks like TensorFlow or PyTorch, we want to see how you can contribute to our engineering efforts.
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 our team!
How to prepare for a job interview at microTECH Global LTD
✨Know Your Stuff
Make sure you brush up on the latest advancements in AI and machine learning. Familiarise yourself with deep learning frameworks like TensorFlow and PyTorch, as well as any recent publications in the field. This will not only show your passion but also your commitment to staying current.
✨Showcase Your Projects
Be ready to discuss your previous research projects and contributions to open-source initiatives. Highlight specific algorithms you've optimised or systems you've developed. This is your chance to demonstrate your technical prowess and how it aligns with the company's goals.
✨Prepare for Technical Questions
Expect to face some challenging technical questions during the interview. Brush up on your programming skills in Python or C++, and be prepared to solve problems on the spot. Practising coding challenges can help you feel more confident and ready.
✨Emphasise Collaboration and Mentorship
Since the role involves mentoring junior engineers, be prepared to discuss your experience in guiding others. Share examples of how you've collaborated with teams and contributed to a positive working environment. This will show that you're not just a great researcher, but also a team player.
