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- Tasks: Develop intelligent robotics solutions bridging simulation and real-world applications.
- Company: High-profile robotics organisation in London with a focus on innovation.
- Benefits: Competitive salary and a collaborative work environment.
- Why this job: Join a cutting-edge team and make a real impact in robotics.
- Qualifications: Experience in deep learning, reinforcement learning, and strong Python skills.
- Other info: Exciting opportunities for growth in a dynamic R&D team.
The predicted salary is between 42000 - 60000 £ per year.
A high-profile robotics organization in London is seeking an experienced Reinforcement Learning Engineer (Manipulation) to join their R&D team. The successful candidate will focus on bridging simulation and real-world applications, developing language-vision conditioned policies for intelligent robotics.
Key responsibilities include:
- Sim-to-real task development
- RL model training
- Engineering robust solutions
Ideal applicants should have extensive experience in deep learning and reinforcement learning, with a strong programming foundation in Python and frameworks like PyTorch and JAX. This role offers a competitive salary and collaborative environment.
RL Manipulation Engineer: Sim-to-Real Robotics in City of London employer: Randstad Staffing
Contact Detail:
Randstad Staffing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land RL Manipulation Engineer: Sim-to-Real Robotics in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the robotics and AI community on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to sim-to-real applications or reinforcement learning. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and frameworks like PyTorch and JAX. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace RL Manipulation Engineer: Sim-to-Real Robotics in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in reinforcement learning and deep learning. We want to see how your skills align with the role, so don’t be shy about showcasing your projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about sim-to-real robotics and how your background makes you the perfect fit for our R&D team. Keep it engaging and personal!
Showcase Your Technical Skills: Since we’re looking for someone with a strong programming foundation, make sure to mention your proficiency in Python and any experience with frameworks like PyTorch and JAX. We love seeing practical examples of your work!
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 our team!
How to prepare for a job interview at Randstad Staffing
✨Know Your Reinforcement Learning
Make sure you brush up on your reinforcement learning concepts, especially those related to manipulation tasks. Be ready to discuss your previous projects and how you've applied RL techniques in real-world scenarios.
✨Showcase Your Programming Skills
Since a strong programming foundation in Python is crucial, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges in Python, particularly using frameworks like PyTorch and JAX.
✨Understand Sim-to-Real Challenges
Familiarise yourself with the common challenges in sim-to-real robotics. Be prepared to discuss strategies you've used to bridge the gap between simulation and real-world applications, as this will show your practical understanding of the role.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their R&D processes, team dynamics, and future projects. This not only shows your interest but also helps you gauge if the company is the right fit for you.
