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- Tasks: Develop algorithms for human pose and intent estimation in robotics.
- Company: Exciting robotics and AI company based in Greater London.
- Benefits: Competitive salary, travel opportunities, and cool office perks.
- Why this job: Join a startup and shape the future of autonomous systems.
- Qualifications: 5+ years experience in computer vision and machine learning.
- Other info: Dynamic startup environment with great potential for growth.
The predicted salary is between 43200 - 72000 £ per year.
A robotics and AI company in Greater London is seeking an experienced specialist in perception for robotics. The role involves developing algorithms for human pose and intent estimation while ensuring safety standards in autonomous systems.
Applicants should have over 5 years of experience in relevant fields and proficiency in computer vision and machine learning frameworks.
This position offers a competitive salary, opportunities for travel, and various office perks in a startup environment.
Robotics Perception Engineer - Real-Time Safety employer: Humanoid
Contact Detail:
Humanoid Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Robotics Perception Engineer - Real-Time Safety
✨Tip Number 1
Network like a pro! Reach out to folks in the robotics and AI scene, especially those who work with perception and safety. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in computer vision and machine learning. This is your chance to demonstrate your expertise beyond what's on paper.
✨Tip Number 3
Prepare for the interview by brushing up on real-time safety standards and algorithms. We want you to feel confident discussing how your experience aligns with the role's requirements.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Robotics Perception Engineer - Real-Time Safety
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in perception for robotics and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t hold back on showcasing your expertise in computer vision and machine learning!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about robotics and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a personal touch, so let your personality come through!
Showcase Relevant Projects: If you've worked on any cool projects related to human pose and intent estimation, make sure to mention them! We’re keen to see practical examples of your work, especially if they demonstrate your ability to meet safety standards in autonomous systems.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you’re serious about joining our awesome team!
How to prepare for a job interview at Humanoid
✨Know Your Algorithms
Brush up on the algorithms related to human pose and intent estimation. Be ready to discuss your previous projects and how you applied these algorithms in real-world scenarios. This will show your depth of knowledge and practical experience.
✨Safety Standards Matter
Familiarise yourself with safety standards in autonomous systems. Prepare examples of how you've ensured safety in your past work. This will demonstrate your commitment to safety, which is crucial for this role.
✨Showcase Your Tech Skills
Make sure you can talk confidently about your proficiency in computer vision and machine learning frameworks. Bring along any relevant projects or code samples that highlight your skills. This will help you stand out as a strong candidate.
✨Startup Mindset
Understand the dynamics of working in a startup environment. Be prepared to discuss how you adapt to fast-paced changes and collaborate with diverse teams. This will show that you're not just technically skilled but also a good cultural fit.
