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- Tasks: Develop 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 the AI robotics field.
- Qualifications: Expertise in Python/C++ and deep learning; experience with reinforcement learning and robotics is essential.
- 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.
Contact Detail:
DeepRec.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and robotics, especially in simulation frameworks. This will not only help you understand the company's mission but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your experience with Deep Reinforcement Learning models by discussing specific projects or challenges you've tackled. Be prepared to explain your thought process and the impact of your work on those projects.
✨Tip Number 3
Network with professionals in the AI and robotics fields, particularly those who have experience with simulation platforms. Engaging with industry experts can provide insights and potentially lead to referrals.
✨Tip Number 4
Stay updated on the latest tools and techniques for optimising ML models, such as quantization and pruning. Being knowledgeable about these methods will demonstrate your commitment to advancing the field and your readiness to contribute effectively.
We think you need these skills to ace Senior AI Engineer
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 catch their attention.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and Robotics. Mention how your skills align with the company's mission to 'Turn AI Robotics on its head' and provide examples of how you've contributed to similar projects in the past.
Showcase Relevant Projects: If you have worked on any simulation frameworks or ML models, be sure to include these in your application. Describe your role, the technologies used, and the impact of your work on the project outcomes.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops you've completed that are relevant to AI and Robotics. This shows your commitment to staying updated in this fast-evolving field, which is crucial for a Senior AI Engineer role.
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 past 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 'Turn AI Robotics on its head'. Be ready to articulate how your skills and experiences align with this vision and how you can contribute to their innovative approach.
✨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
Show genuine enthusiasm for robotics and simulation. Discuss any personal projects or research you've done in this field, as it will highlight your commitment and interest in the role beyond just the technical requirements.