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- Tasks: Join us to create innovative simulation frameworks for robot training.
- Company: Be part of a pioneering AI Robotics start-up with a mission to revolutionise the industry.
- Benefits: Enjoy remote work flexibility and potential equity after probation.
- Why this job: Work on cutting-edge technology in a dynamic environment that values creativity and innovation.
- Qualifications: Bring your expertise in Python/C++ and deep learning to the table.
- Other info: Opportunity to visit our Robotics Labs in Cambridge and collaborate with top talent.
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 previous projects.
✨Tip Number 3
Network with professionals in the AI and robotics fields, particularly those who have experience with simulation platforms. Attend relevant webinars or meetups to build connections that could provide insights or referrals.
✨Tip Number 4
Prepare to discuss optimisation techniques like quantization and pruning in detail. Being able to articulate your understanding and application of these methods will demonstrate your technical expertise and readiness for the role.
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 demonstrate your fit for the role.
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 developed simulation frameworks or optimised ML models in the past.
Showcase Relevant Projects: If you have worked on any relevant projects, especially those involving simulation or robotics, be sure to include them in your application. Describe your role, the technologies used, and the impact of your work.
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.
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 or optimised ML models, particularly in the context of robotics.
✨Demonstrate Problem-Solving Abilities
Expect technical questions that assess your problem-solving skills. Prepare to explain how you would approach developing simulation frameworks or optimising models using techniques like quantization and pruning.
✨Highlight Relevant Experience
Make sure to emphasise any previous work with Deep Reinforcement Learning Models and your familiarity with robotics and simulation. Share specific examples that illustrate your contributions and successes in these areas.
✨Align with the Company Mission
Research the company's mission to 'Turn AI Robotics on its head' and think about how your values and experiences align with this vision. Be ready to discuss how you can contribute to their groundbreaking work in robot training.
