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- Tasks: Teach robots to manipulate their environment using applied deep learning and robotics.
- Company: Leading robotics and AI company in the UK with a collaborative culture.
- Benefits: Competitive salary, stock options, and a supportive work environment.
- Why this job: Join a cutting-edge team and shape the future of robotics.
- Qualifications: 3+ years experience in robotics, teleoperation, and deep learning tools like PyTorch.
- Other info: Exciting opportunity for career growth in a dynamic field.
The predicted salary is between 42000 - 60000 £ per year.
A robotics and AI company in the UK is seeking a Manipulation Capabilities Engineer to teach robots to manipulate their environment. This role combines applied deep learning and robotics, requiring experience with robot hardware and data curation.
Responsibilities include post-training manipulation and collaboration with simulation teams.
The ideal candidate will have over 3 years of experience, a solid understanding of teleoperation, and familiarity with deep learning tools like PyTorch.
The company offers competitive salary, stock options, and a collaborative culture.
Robotics Manipulation Engineer — DL & Real‐World Control in London employer: Humanoid
Contact Detail:
Humanoid Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Robotics Manipulation Engineer — DL & Real‐World Control in London
✨Tip Number 1
Network like a pro! Reach out to people in the robotics and AI field, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to manipulation capabilities and deep learning. This is your chance to demonstrate your hands-on experience with robot hardware and data curation.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of teleoperation and deep learning tools like PyTorch. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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 are proactive about their job search.
We think you need these skills to ace Robotics Manipulation Engineer — DL & Real‐World Control in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with robotics and deep learning tools like PyTorch. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about robotics and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Experience: When detailing your experience, focus on specific projects where you’ve taught robots to manipulate their environment. We’re keen to know about your hands-on work with robot hardware and any data curation you’ve done!
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. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Humanoid
✨Know Your Robotics Inside Out
Make sure you brush up on your knowledge of robotics and manipulation techniques. Be prepared to discuss your experience with robot hardware and data curation, as well as any projects you've worked on that involved teleoperation or deep learning tools like PyTorch.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to tackle hypothetical scenarios related to manipulation capabilities. Think about how you would approach real-world challenges and demonstrate your ability to collaborate with simulation teams to find effective solutions.
✨Prepare Questions About Their Culture
Since the company values a collaborative culture, come armed with questions that show your interest in teamwork and collaboration. Ask about how they foster innovation and support their engineers in developing new skills.
✨Highlight Your Experience with Deep Learning
Given the emphasis on applied deep learning in this role, be sure to highlight your experience with relevant tools and frameworks. Discuss specific projects where you've successfully implemented deep learning techniques and how they contributed to the overall success of the project.
