At a Glance
- Tasks: Lead groundbreaking research in AI and machine learning while mentoring junior engineers.
- Company: Join a leading international semiconductor company at the forefront of technology.
- Benefits: Competitive salary, opportunities for publication, and a dynamic work environment.
- Other info: Collaborative culture with excellent career growth and exposure to cutting-edge projects.
- Why this job: Make a real impact in AI research and shape the future of technology.
- Qualifications: PhD in Computer Science and extensive experience in machine learning.
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.
Science researcher in London employer: microTECH Global LTD
As a leading international semiconductor company, we offer an exceptional work environment in London or Cambridge, where innovation thrives and collaboration is at the heart of our culture. Our commitment to employee growth is evident through mentorship opportunities and access to cutting-edge research projects in machine learning and AI, ensuring that you can advance your career while contributing to meaningful advancements in technology. Join us to be part of a dynamic team that values creativity, technical excellence, and the pursuit of knowledge.
StudySmarter Expert Advice🤫
We think this is how you could land Science researcher 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, publications, and any contributions to open-source work. This is your chance to demonstrate your expertise in machine learning and AI beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and problem-solving scenarios related to deep learning. Practice explaining complex concepts clearly, as communication is key in this field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Science researcher 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 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 others.
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 projects.
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 help you engage in meaningful discussions during the interview.
✨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 related to machine learning algorithms and system design. Practise explaining complex concepts clearly and concisely, as communication skills are key. You might even want to prepare a few examples of how you've solved tough problems in the past.
✨Mentorship Matters
Since mentoring junior engineers is part of the role, be prepared to discuss your experience in this area. Share examples of how you've guided others and contributed to their growth. This will show that you're not just a great researcher but also a team player who values collaboration.
