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 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 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
✨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, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI and machine learning. Practice explaining your past projects and how they align with the responsibilities of the role. Confidence is key, so get comfortable talking about your work!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, applying directly can sometimes give you an edge over other candidates. So, what are you waiting for? Get your application in!
We think you need these skills to ace Experienced researcher needed
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! Whether it’s Python, C++, or your experience with frameworks like TensorFlow or PyTorch, we want to see how you can contribute to our projects.
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 us!
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 is your chance to show off your analytical thinking and creativity!
✨Communicate Clearly
Strong communication skills are key, especially when it comes to technical documentation. Practice explaining complex concepts in simple terms, as you'll need to convey your ideas effectively to both technical and non-technical audiences during the interview.
