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- Tasks: Design and train reinforcement learning policies for humanoid robots.
- Company: Humanoid, a leading robotics company in Greater London.
- Benefits: Paid internship with hands-on experience and supportive mentorship.
- Other info: 12-week internship from mid-June to mid-September with great career prospects.
- Why this job: Dive into the future of robotics and make a real impact on humanoid technology.
- Qualifications: Passion for robotics and knowledge of reinforcement learning.
The predicted salary is between 20000 - 30000 £ per year.
Humanoid in Greater London is offering an exciting full-time internship opportunity for students interested in robotics and reinforcement learning. Interns will work on designing and training reinforcement learning policies for humanoid robots, focusing on creating scalable training pipelines and improving real-world deployments. This 12-week internship from mid-June to mid-September includes compensation and provides direct hands-on experience with real robotic systems in a supportive environment.
Robotics ML Intern: Reinforcement Learning for Humanoids in London employer: Humanoid
Contact Detail:
Humanoid Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Robotics ML Intern: Reinforcement Learning for Humanoids in London
✨Tip Number 1
Network like a pro! Reach out to people in the robotics and AI fields on LinkedIn or at local meetups. We can’t stress enough how valuable connections can be when it comes to landing that dream internship.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing any projects related to reinforcement learning or robotics. We love seeing practical applications of your knowledge, so make sure to highlight your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practising common interview questions related to machine learning and robotics to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. We’re excited to see what you bring to the table, so don’t hold back!
We think you need these skills to ace Robotics ML Intern: Reinforcement Learning for Humanoids in London
Some tips for your application 🫡
Show Your Passion for Robotics: When writing your application, let us see your enthusiasm for robotics and reinforcement learning. Share any relevant projects or experiences that highlight your interest and skills in this area.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this specific internship. Highlight your experience with reinforcement learning and any programming languages or tools you’re familiar with that are relevant to the role.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role without wading through unnecessary fluff.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Humanoid
✨Know Your Robotics Basics
Before the interview, brush up on your knowledge of robotics and reinforcement learning. Be prepared to discuss key concepts and how they apply to humanoid robots. This shows your genuine interest and understanding of the field.
✨Showcase Your Projects
If you've worked on any relevant projects or coursework, be ready to talk about them. Highlight specific challenges you faced and how you overcame them, especially if they relate to designing or training models. This gives the interviewer insight into your practical skills.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the internship and the company's approach to robotics. This not only demonstrates your enthusiasm but also helps you gauge if the role is the right fit for you. Think about asking about their current projects or future goals in reinforcement learning.
✨Practice Problem-Solving
Expect some technical questions or problem-solving scenarios during the interview. Practice explaining your thought process clearly and logically. This will help you convey your analytical skills and ability to tackle real-world challenges in robotics.