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- Tasks: Develop and deploy cutting-edge robotic manipulation solutions using reinforcement learning.
- Company: Leading robotics organisation in London with a focus on innovation.
- Benefits: Competitive salary, collaborative environment, and fantastic benefits.
- Why this job: Join a team pushing the boundaries of robotics and make a real impact.
- Qualifications: 5+ years experience in deep learning, Python, and PyTorch/JAX.
- Other info: Exciting opportunities for growth in a dynamic field.
The predicted salary is between 43200 - 72000 £ per year.
A leading robotics organization in London is seeking a Reinforcement Learning Engineer specializing in manipulation. This role entails developing and deploying language-vision conditioned policies while leveraging expertise in deep learning and reinforcement learning.
The ideal candidate will have over 5 years of experience and proficiency in Python and PyTorch/JAX. This position offers a competitive salary, a collaborative working environment, and fantastic benefits, with a focus on innovative robotic solutions.
RL Control Engineer: Robotic Manipulation & Sim-to-Real employer: Randstad Technologies
Contact Detail:
Randstad Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land RL Control Engineer: Robotic Manipulation & Sim-to-Real
✨Tip Number 1
Network like a pro! Reach out to professionals in the robotics field on LinkedIn or at industry events. We can leverage our connections to get insights and maybe even referrals for that RL Control Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in reinforcement learning and robotic manipulation. We can use this to impress potential employers during interviews and demonstrate our hands-on experience.
✨Tip Number 3
Prepare for technical interviews! Brush up on your Python, PyTorch, and JAX skills. We should practice coding challenges and review common questions related to deep learning and reinforcement learning to ace those interviews.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We can tailor our applications to highlight our relevant experience and skills directly related to the job description.
We think you need these skills to ace RL Control Engineer: Robotic Manipulation & Sim-to-Real
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in reinforcement learning and robotic manipulation. We want to see how your skills in Python and PyTorch/JAX align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about robotics and how your background makes you the perfect fit for this role. Keep it engaging and relevant!
Showcase Your Projects: If you've worked on any cool projects related to language-vision conditioned policies or deep learning, make sure to mention them. We love seeing practical applications of your skills!
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 Technologies
✨Know Your Stuff
Make sure you brush up on your knowledge of reinforcement learning and robotic manipulation. Be ready to discuss your past projects, especially those involving Python and PyTorch or JAX. The more specific examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical questions or case studies during the interview. Think about how you would approach real-world problems in robotic manipulation and be ready to explain your thought process clearly.
✨Familiarise Yourself with the Company
Research the organisation's recent projects and innovations in robotics. Understanding their focus on language-vision conditioned policies will help you align your answers with their goals and demonstrate your genuine interest in the role.
✨Ask Insightful Questions
Prepare a few thoughtful questions to ask at the end of the interview. This could be about their current projects, team dynamics, or future directions in robotic solutions. It shows you're engaged and eager to contribute to their mission.
