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- Tasks: Advance AI research and design experiments for robotics and autonomous systems.
- Company: Join Graphcore, a leader in AI hardware innovation based in Bristol.
- Benefits: Enjoy flexible working, medical insurance, and a supportive team culture.
- Other info: Embrace inclusivity and continuous learning in a dynamic environment.
- Why this job: Make a real impact in AI while collaborating with top engineers.
- Qualifications: Master's or PhD in AI with experience in low-power scenarios.
The predicted salary is between 50000 - 70000 £ per year.
Graphcore is seeking a Researcher in Bristol to advance AI research, focusing on methods that enhance embodied AI in robotics and autonomous systems. Candidates should have a Master's or PhD and experience in AI, particularly in low-power scenarios.
Key responsibilities include:
- Designing experiments
- Collaborating with engineers to drive innovations in AI hardware
Benefits include:
- Flexible working
- Medical insurance
- A supportive team culture, emphasising inclusivity and continuous learning
Edge AI Research Scientist — Flexible, Hardware‑Driven ML employer: Cerebras
Contact Detail:
Cerebras Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Edge AI Research Scientist — Flexible, Hardware‑Driven ML
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and robotics space, especially those at Graphcore. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience in low-power AI scenarios. This will not only impress but also demonstrate your hands-on expertise.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by simulating questions related to embodied AI and hardware-driven ML. We can help you with resources to brush up on your knowledge and confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Edge AI Research Scientist — Flexible, Hardware‑Driven ML
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and robotics shine through. We want to see how your background and interests align with our mission at Graphcore, so don’t hold back on sharing your experiences!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Edge AI Research Scientist role. Highlight relevant projects and skills that demonstrate your expertise in low-power AI scenarios and your ability to collaborate effectively with engineers.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured documents that make it easy for us to see your qualifications and fit for the role. Avoid jargon unless it’s necessary to showcase your expertise!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for the position. Plus, it’s super easy to do!
How to prepare for a job interview at Cerebras
✨Know Your AI Stuff
Make sure you brush up on the latest trends and techniques in AI, especially those related to low-power scenarios. Be ready to discuss your previous research and how it can apply to embodied AI in robotics.
✨Experiment Design is Key
Prepare to talk about your experience in designing experiments. Think of specific examples where your experimental design led to significant findings or innovations, particularly in hardware-driven ML.
✨Collaboration is Crucial
Since the role involves working closely with engineers, be ready to share examples of successful collaborations. Highlight how you’ve worked in teams to drive AI innovations and how you communicate complex ideas effectively.
✨Embrace Inclusivity and Learning
Graphcore values a supportive team culture, so show your enthusiasm for continuous learning and inclusivity. Share experiences where you’ve contributed to a positive team environment or learned from diverse perspectives.