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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 shaping the future of AI robotics with impactful technology.
- Qualifications: Expertise in Python/C++ and deep learning; experience in 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.
Senior AI Engineer employer: DeepRec.ai
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. Follow industry leaders on social media, read relevant research papers, and engage in online forums to stay updated. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the AI and robotics sectors. Attend virtual meetups, webinars, or conferences where you can connect with like-minded individuals. Building relationships can lead to referrals and insider information about job openings.
✨Tip Number 3
Showcase your projects related to deep learning and robotics on platforms like GitHub. Having a strong portfolio of your work can set you apart from other candidates and provide tangible evidence of your skills and expertise.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and system design problems relevant to AI and robotics. Use platforms like LeetCode or HackerRank to sharpen your skills, ensuring you're ready to tackle any technical questions that may arise.
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 attended that are relevant to AI and Robotics. This shows your commitment to staying updated in this rapidly evolving field.
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 explain 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 AI. Discuss any personal projects or research you've done in this field, and be ready to share your thoughts on future trends in AI robotics and simulation.
