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 chance to shape the future of AI.
- Other info: Dynamic work environment with opportunities for career advancement and innovation.
- Why this job: Make a real impact in AI research and collaborate with top minds in the field.
- Qualifications: PhD in Computer Science and extensive experience in machine learning and programming.
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.
Experienced researcher needed in London 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 Experienced researcher needed in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and machine learning fields. Attend meetups, webinars, or conferences where you can chat with industry experts and potential employers. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research projects, publications, and any open-source contributions. This is your chance to demonstrate your expertise in deep learning and machine learning algorithms. Make it easy for recruiters to see what you can bring to the table!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as communication is key in this field. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don't forget to apply through our website! We have a range of exciting opportunities that match your skills. Tailor your application to highlight your experience with scalable systems and mentoring, and let us help you land that dream job in AI research!
We think you need these skills to ace Experienced researcher needed 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 research projects, and any publications you've contributed to. We want to see how you fit into our world!
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 love to see your personality come through.
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, make sure we know what you bring to the table. We’re keen on seeing your technical side!
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. Plus, it shows you’re serious about joining 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 deep learning frameworks like TensorFlow or PyTorch. Be ready to discuss your previous research projects and how they relate to the role, as well as any contributions you've made to publications or open-source projects.
✨Showcase Your Leadership Skills
Since the role involves mentoring junior engineers, be prepared to share examples of how you've led teams or guided others in past projects. Highlight your ability to coordinate with researchers and align engineering work with research objectives.
✨Demonstrate Problem-Solving Prowess
Expect technical questions that test your problem-solving skills. Think about specific challenges you've faced in your research and how you overcame them. This will show your analytical thinking and ability to tackle complex issues.
✨Communicate Clearly
Strong communication is key, especially when it comes to technical documentation. Practice explaining your research and technical concepts in a clear and concise manner. This will help you connect with the interviewers and demonstrate your ability to convey complex ideas effectively.
