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 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, access to cutting-edge research, and a focus on continuous learning, making us an ideal employer for those passionate about advancing their careers in machine learning and artificial intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Science researcher
✨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 showcasing your projects, especially those related to machine learning and AI. We want to see your work in action, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and problem-solving scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Science 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 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! List the languages you’re proficient in, like Python or C++, and any frameworks you’ve worked with, such as TensorFlow or PyTorch. We want to see your technical chops!
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 or PyTorch, and be ready to discuss your previous research projects and publications in detail.
✨Showcase Your Leadership Skills
Since the role involves mentoring junior engineers, be prepared to share examples of how you've led projects or guided team members in the past. Highlight your ability to work collaboratively while also taking charge when needed.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about algorithms, optimisation techniques, and system design. Brush up on your programming skills in Python or C++, and be ready to solve problems on the spot.
✨Communicate Clearly
Strong communication skills are key, especially when it comes to technical documentation. Practice explaining complex concepts in simple terms, as this will demonstrate your ability to convey information effectively to both technical and non-technical audiences.
