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- Tasks: Create innovative AI frameworks and optimise machine learning models for robotics.
- Company: Join a pioneering AI Robotics start-up on a mission to revolutionise robot training.
- Benefits: Enjoy remote work flexibility, competitive salary, and equity options after probation.
- Why this job: Be part of a cutting-edge team making a real impact in AI and robotics.
- Qualifications: You need expertise in Python/C++, deep learning, and experience with reinforcement learning.
- Other info: Work remotely with occasional visits to our Cambridge Robotics Labs.
The predicted salary is between 75000 - 125000 £ per year.
I'm hiring for an AI Robotics start-up developing a ground-breaking simulation platform for mass-scale robot training. Their mission is to turn AI Robotics on its head.
Salary: Up to £125,000
Equity: Offered after probation (50%).
Location: Remote, UK (Visit to Robotics Labs in Cambridge)
Funding: Raised £20+ Million Seed
Key responsibilities:
- Develop cutting-edge simulation frameworks and AI infrastructure.
- Optimize ML models using techniques like quantization and pruning.
- Develop foundational Deep Learning models for Robotics (Reinforcement Learning/ Imitation Learning).
Qualifications:
- Expertise in Python/C++ and deep learning (PyTorch).
- Experience building Deep Reinforcement Learning Models.
- Experience with Robotics and/or Simulation.
Senior AI Engineer (, , United Kingdom) employer: DeepRec.ai
Contact Detail:
DeepRec.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer (, , United Kingdom)
✨Tip Number 1
Make sure to showcase your experience with Python and C++ in your conversations. Highlight specific projects where you've developed deep learning models, especially in reinforcement learning or imitation learning, as this will resonate well with the hiring team.
✨Tip Number 2
Familiarise yourself with the latest trends in AI robotics and simulation technologies. Being able to discuss recent advancements or challenges in the field during interviews can demonstrate your passion and knowledge, making you a standout candidate.
✨Tip Number 3
Network with professionals in the AI and robotics community. Attend relevant meetups or webinars, and connect with people on platforms like LinkedIn. This can lead to valuable insights about the company and potentially even referrals.
✨Tip Number 4
Prepare to discuss optimisation techniques such as quantization and pruning in detail. Be ready to explain how you've applied these methods in past projects, as this will show your technical depth and problem-solving skills relevant to the role.
We think you need these skills to ace Senior AI Engineer (, , United Kingdom)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your expertise in Python/C++ and deep learning frameworks like PyTorch. Include specific projects or experiences related to Deep Reinforcement Learning and Robotics to demonstrate your suitability for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and Robotics. Discuss how your skills align with the company's mission to innovate in robot training and mention any relevant experience that showcases your ability to develop simulation frameworks.
Showcase Relevant Projects: If you have worked on projects involving ML model optimization or simulation, be sure to include these in your application. Provide links to your GitHub or portfolio where applicable, as this can give the hiring team insight into your practical skills.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops you've completed related to AI, Robotics, or machine learning. This shows your commitment to staying updated in a rapidly evolving field, which is crucial for a Senior AI Engineer.
How to prepare for a job interview at DeepRec.ai
✨Showcase Your Technical Skills
Be prepared to discuss your expertise in Python and C++, as well as your experience with deep learning frameworks like PyTorch. Bring examples of projects where you've developed Deep Reinforcement Learning models or worked on simulation frameworks.
✨Understand the Company's Mission
Familiarise yourself with the start-up's mission to revolutionise AI Robotics. Be ready to explain how your skills and experiences align with their goals, particularly in developing cutting-edge simulation platforms.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities, especially related to optimising ML models through techniques like quantization and pruning. Practice explaining your thought process clearly and concisely.
✨Demonstrate Passion for Robotics
Express your enthusiasm for robotics and AI during the interview. Share any relevant experiences or projects that highlight your passion and commitment to advancing the field, which will resonate well with the interviewers.
