At a Glance
- Tasks: Lead groundbreaking 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 chance to publish your work.
- Other info: Dynamic work environment with opportunities for career advancement and innovation.
- 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 employer: microTECH Global LTD
As a leading international semiconductor company, we pride ourselves on fostering a dynamic and innovative work environment in London or Cambridge. Our commitment to employee growth is evident through mentorship opportunities, collaborative projects, and access to cutting-edge research in machine learning and AI. Join us to be part of a culture that values creativity, technical excellence, and the pursuit of groundbreaking advancements in technology.
StudySmarter Expert Advice🤫
We think this is how you could land Researcher - Science
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and contributions to open-source work. This is a great way for us to see your expertise in action, especially in machine learning and AI.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format and types of questions you might face.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Researcher - Science
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:Your cover letter is your chance to shine! Use it to explain why you're passionate about deep learning and how your background aligns with our needs. Keep it engaging and personal – we want to get to know you!
Showcase Your Technical Skills:Don’t forget to mention your programming expertise and experience with machine learning algorithms. We love seeing candidates who can demonstrate their proficiency in Python, C++, or any deep learning frameworks like TensorFlow or PyTorch.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest 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 related to machine learning algorithms and system design. Practice explaining complex concepts clearly and concisely, as communication is key. Use examples from your experience to illustrate your problem-solving skills.
✨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 development. This will show that you can lead and foster a collaborative environment.
