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- Tasks: Develop cutting-edge RL models for intelligent robotics and bridge simulation with real-world applications.
- Company: High-profile robotics organisation in central London with a collaborative culture.
- Benefits: Competitive salary, fantastic benefits, and access to cutting-edge hardware.
- Why this job: Join a pioneering team and shape the future of LLMs and Embodied AI.
- Qualifications: 5+ years in deep learning, with expertise in RL and robotics simulators.
- Other info: Dynamic environment with opportunities for impactful work and career growth.
The predicted salary is between 48000 - 72000 £ per year.
A high-profile robotics organization is urgently seeking a high-caliber RL Engineer (Manipulation) to join their London-based R&D team. This role is pivotal in bridging the gap between simulation and real-world application, focusing on the development of language-vision conditioned policies for next-generation intelligent robotic platforms.
Responsibilities
- Sim-to-Real Transfer: Developing manipulation tasks in simulators (Isaac Sim/MuJoCo) and successfully deploying trained policies onto physical hardware.
- VLA Policy Development: Training Vision-Language-Action models via RL to enable robots to execute actions based on visual and linguistic context.
- Trajectory Scaling: Collaborating with teleops teams to transform human trajectories into robust robotic skills through behaviour cloning.
- High-Performance Engineering: Designing and profiling research-grade PyTorch/JAX code to support large-scale, distributed RL infrastructure.
Qualifications
- Deep Learning Mastery: 5+ years building and shipping models, with deep hands-on expertise in LLMs, VLMs, or generative architectures.
- Industry Experience: 3+ years of commercial experience delivering production-grade AI solutions.
- RL Expert: A proven track record of solving complex, real-world problems using Deep Reinforcement Learning.
- Technical Rigour: Mastery of Python and PyTorch/JAX, including the ability to profile performance and debug complex numerical stability issues.
- Robotics Foundation: Practical experience with simulators (Isaac Sim/MuJoCo) and a deep understanding of sim-to-real bottlenecks.
Benefits
- Competitive Package
- Central London
- 5 days in office
- Collaborative working environment
- Fantastic benefits
- Cutting-Edge Hardware
If you are looking to join a high-profile robotics organization and make a tangible impact on the future of LLMs and Embodied AI, this is the ideal opportunity for you.
Reinforcement Learning (RL) control Engineer in City of London employer: Randstad Staffing
Contact Detail:
Randstad Staffing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Reinforcement Learning (RL) control Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the robotics and AI space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving RL and manipulation tasks. We want to see your work in action, so don’t be shy about sharing links to your GitHub or any demos.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and PyTorch/JAX skills. We recommend doing mock interviews with friends or using online platforms to simulate the real deal. Practice makes perfect!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Reinforcement Learning (RL) control Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with RL, deep learning, and any relevant projects. We want to see how your skills align with the role, so don’t be shy about showcasing your 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 the perfect fit for our team. Keep it engaging and personal.
Showcase Your Technical Skills: Since we’re looking for someone with deep expertise in Python and PyTorch/JAX, make sure to mention specific projects or experiences where you’ve used these technologies. We love seeing real-world applications!
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Randstad Staffing
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical skills listed in the job description, especially Python and PyTorch/JAX. Brush up on your experience with simulators like Isaac Sim and MuJoCo, as you might be asked to discuss specific projects where you tackled sim-to-real challenges.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world problems you've solved using Deep Reinforcement Learning. Have examples ready that highlight your ability to develop and deploy RL policies, and how you’ve overcome obstacles in your previous projects.
✨Understand the Company’s Vision
Research the robotics organisation and their current projects. Understanding their focus on language-vision conditioned policies will help you align your answers with their goals and demonstrate your genuine interest in contributing to their mission.
✨Practice Collaborative Scenarios
Since this role involves working closely with teleops teams, think of examples where you’ve successfully collaborated with others. Be ready to discuss how you transformed human trajectories into robotic skills and how teamwork played a role in your success.
