At a Glance
- Tasks: Lead cutting-edge AI research projects and optimise machine learning algorithms.
- Company: Join a leading international semiconductor company in London or Cambridge.
- Benefits: Competitive salary, mentorship opportunities, and a dynamic work environment.
- Other info: Great opportunity for career growth and to contribute to innovative publications.
- Why this job: Make a real impact in AI while collaborating with top researchers and engineers.
- Qualifications: Extensive experience in machine learning and strong programming skills required.
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:
- Extensive experience implementing and optimizing 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
- Track record of contributing to technical publications or open-source projects
If this sounds like it could be of interest, please apply below or reach out to daniel@microtech-global.com
Deep Learning Researcher employer: microTECH Global LTD
As a leading international semiconductor company, we pride ourselves on fostering a dynamic and innovative work environment in London and Cambridge. Our commitment to employee growth is evident through mentorship opportunities, collaborative projects, and access to cutting-edge research, ensuring that our team members are at the forefront of advancements in AI and machine learning. Join us to be part of a culture that values creativity, technical excellence, and the pursuit of meaningful contributions to the field.
StudySmarter Expert Advice🤫
We think this is how you could land Deep Learning Researcher
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow researchers. 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 involving machine learning and AI. This is your chance to demonstrate your expertise and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts clearly, as communication is key in this field. We want you to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Deep Learning Researcher
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Deep Learning Researcher role. Highlight your experience with machine learning algorithms and any relevant projects you've worked on. We want to see how your skills align with our needs!
Showcase Your Projects:Include specific examples of projects where you've optimised algorithms or led engineering efforts. This helps us understand your hands-on experience and how you can contribute to our team.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language to describe your skills and experiences. We appreciate a well-structured application that’s easy to read!
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’re considered for the role. Don’t miss out on this opportunity!
How to prepare for a job interview at microTECH Global LTD
✨Know Your Algorithms
Make sure you brush up on the machine learning algorithms you've worked with. Be ready to discuss how you've implemented and optimised them in past projects. This will show your depth of knowledge and practical experience.
✨Showcase Your Leadership Skills
Since the role involves mentoring junior engineers, prepare examples of how you've led teams or projects. Highlight specific instances where your guidance made a difference, as this will demonstrate your ability to lead effectively.
✨Familiarise Yourself with Deep Learning Frameworks
Get comfortable discussing frameworks like TensorFlow, PyTorch, or JAX. If you have any personal projects or contributions to open-source that utilise these tools, be sure to mention them during the interview.
✨Stay Updated on AI Trends
Research the latest advancements in AI and machine learning. Being able to discuss current trends or breakthroughs will not only impress your interviewers but also show your passion for the field.
