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: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on creativity and innovation.
- Why this job: Join a cutting-edge team transforming the future of construction with innovative technology.
- Qualifications: Experience in reinforcement learning and robotics; strong problem-solving skills.
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 monitoring progress and performance evaluation;
- Develop robust sim-to-real.
Senior Controls Engineer (Hybrid) employer: All3
At All3, we pride ourselves on being an innovative employer that fosters a collaborative and forward-thinking work culture. Our hybrid work model allows for flexibility while working on cutting-edge technology in the heart of the construction industry, providing ample opportunities for professional growth and development. Join us to be part of a team that is not only redefining architecture but also investing in your future through continuous learning and unique project experiences.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Controls Engineer (Hybrid)
✨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 get you in the door.
✨Tip Number 2
Prepare for those interviews! Research the company and its projects, especially their work with AI and robotics. We want to see your passion and knowledge shine through when discussing how you can contribute to their innovative approach.
✨Tip Number 3
Showcase your skills! Bring along a portfolio or examples of your previous work related to reinforcement learning and control systems. We love seeing how you’ve tackled challenges and what solutions you’ve come up with.
✨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’re always on the lookout for talent that aligns with our mission of transforming construction.
We think you need these skills to ace Senior Controls Engineer (Hybrid)
Some tips for your application 🫡
Show Your Passion for Innovation:When writing your application, let us see your enthusiasm for cutting-edge technology and innovation. Share any relevant projects or experiences that highlight your interest in AI and robotics, especially in the context of construction.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We want to see how your background aligns with our mission at All3, so don’t hold back on the details!
Highlight Your Problem-Solving Skills:In your application, emphasise your ability to tackle complex challenges. Discuss any past experiences where you’ve successfully developed solutions in dynamic environments, particularly those involving reinforcement learning or robotic systems.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your materials and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at All3
✨Know Your Stuff
Make sure you brush up on reinforcement learning and control systems. Familiarise yourself with the latest advancements in AI-powered design and robotic prefabrication. Being able to discuss specific projects or technologies related to locomotion and manipulation will show your expertise.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled complex challenges in previous roles. Think of examples where you've designed or trained reinforcement learning policies, especially in dynamic environments. This will demonstrate your ability to think critically and adaptively.
✨Understand the Company’s Vision
Dive deep into All3's mission and values. Be ready to explain how your skills align with their goal of transforming building processes. Showing that you’re not just interested in the role but also in contributing to their innovative approach will set you apart.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, the technology stack, and future projects. This shows your genuine interest in the position and helps you gauge if the company is the right fit for you. Plus, it gives you a chance to engage in a meaningful conversation.
