At a Glance
- Tasks: Lead cutting-edge research in AI and machine learning, optimising algorithms and mentoring junior engineers.
- Company: Join a leading international semiconductor company at the forefront of technology.
- Benefits: Competitive salary, opportunities for growth, and a chance to work on impactful projects.
- Other info: Dynamic environment with opportunities for innovation and career advancement.
- Why this job: Make a real difference in AI research while collaborating with top experts in the field.
- Qualifications: PhD in Computer Science, strong programming skills, and 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.
Experience Researcher employer: microTECH Global LTD
As an international semiconductor company, we pride ourselves on fostering a dynamic and innovative work culture that encourages collaboration and continuous learning. Located in the vibrant tech hubs of London or Cambridge, we offer our employees exceptional growth opportunities, competitive benefits, and the chance to work on cutting-edge research projects in machine learning and artificial intelligence. Join us to be part of a team that values mentorship, creativity, and the pursuit of excellence in technology.
StudySmarter Expert Advice🤫
We think this is how you could land Experience Researcher
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow researchers on LinkedIn. 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 open-source contributions. This is your chance to demonstrate your expertise in machine learning and AI, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts clearly and concisely, as communication is key in this field. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. So, get those applications in and let’s land that dream job together!
We think you need these skills to ace Experience Researcher
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 Experience Researcher role.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about machine 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 prowess and experience with deep learning frameworks. We love seeing candidates who can demonstrate their technical abilities clearly, so include specific examples of your work.
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 hands-on experience and problem-solving skills.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of machine learning algorithms and system design. Practice explaining complex concepts clearly and concisely, as communication is key. You might even want to prepare a few examples of how you've mentored junior engineers.
✨Align with Their Goals
Research the company’s objectives and how they align with your expertise. Be prepared to discuss how you can contribute to their engineering efforts and enhance their research infrastructure. Showing that you understand their goals will set you apart from other candidates.
