At a Glance
- Tasks: Design and train AI-driven control systems for advanced robotic platforms in construction.
- Company: All3 is revolutionising building design with AI and robotics.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
- Why this job: Join a cutting-edge team and shape the future of construction technology.
- Qualifications: Experience in reinforcement learning and robotics is essential.
The predicted salary is between 60000 - 80000 £ per year.
All3 is transforming how buildings are conceived, developed and delivered. We combine AI-powered design with robotic prefabrication and on-site assembly to build custom architecture at the cost and speed of mass production - unlocking even the most complex sites.
We’re currently seeking a Senior/Lead Reinforcement Learning Control Engineer (seniority level adjustable based on candidate expertise) to develop learning-based control systems for dynamic locomotion on our large legged robotic platform, Mantis. You’ll design reinforcement learning solutions that integrate tightly with the rest of our framework to enable robust locomotion and manipulation in complex, semi-structured construction environments.
Responsibilities:- Design and train reinforcement learning policies using physically grounded sensor models (LiDAR, cameras, IMUs) to support autonomous locomotion and manipulation capabilities;
- Integrate learned components within a complex software architecture, ensuring stability and reliability;
- Develop a robust methodology for policy training, tracking improvements and monitor progress and performance evaluation;
- Develop robust sim-to-real.
Sr. Controls Engineer employer: All3
All3 is an exceptional employer that fosters innovation and creativity in the field of robotics and AI-driven construction. With a strong emphasis on employee growth, we offer opportunities for professional development and collaboration in a dynamic work culture that values cutting-edge technology and teamwork. Located in a vibrant area, our team enjoys a stimulating environment that encourages exploration and the pursuit of groundbreaking solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Sr. Controls Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your projects related to reinforcement learning and robotics. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common interview questions related to controls engineering and reinforcement learning 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 seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our innovative team.
We think you need these skills to ace Sr. Controls Engineer
Some tips for your application 🫡
Show Your Passion:When you're writing your application, let your enthusiasm for the role shine through! We want to see how excited you are about transforming building design and robotics. Share why this position at All3 speaks to you and how your background aligns with our mission.
Tailor Your CV:Make sure your CV is tailored specifically for the Sr. Controls Engineer role. Highlight your experience with reinforcement learning and any relevant projects you've worked on. We love seeing how your skills can contribute to our innovative approach!
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured responses that get straight to the heart of your experience and skills. Avoid jargon unless it’s relevant to the role – we want to understand your expertise without getting lost in technical terms.
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 the role. Plus, it gives you a chance to explore more about what we do at All3 and how you can be part of our exciting journey.
How to prepare for a job interview at All3
✨Know Your Reinforcement Learning
Make sure you brush up on your knowledge of reinforcement learning principles and applications. Be ready to discuss how you've designed and trained policies in the past, especially in relation to dynamic systems like robotic platforms.
✨Showcase Your Technical Skills
Prepare to demonstrate your expertise with sensor models such as LiDAR, cameras, and IMUs. Bring examples of projects where you've integrated these technologies into control systems, and be ready to explain your approach to ensuring stability and reliability.
✨Discuss Methodologies
Be prepared to talk about your methodology for policy training. Discuss how you track improvements and evaluate performance, as this will show your analytical skills and attention to detail, which are crucial for the role.
✨Understand the Company’s Vision
Familiarise yourself with All3's mission of transforming building processes through AI and robotics. Show enthusiasm for their innovative approach and be ready to discuss how your skills can contribute to their goals in complex construction environments.
