Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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 growth potential.
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 in London employer: Humanoid
Contact Detail:
Humanoid Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Robotics Perception Engineer - Real-Time Safety in London
✨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 lead to opportunities that aren’t even advertised yet.
✨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 and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on real-time safety standards and algorithms. We want you to feel confident discussing your experience and how it aligns with the role of a Robotics Perception Engineer.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Robotics Perception Engineer - Real-Time Safety in London
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 be shy about 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 easiest way for us to keep track of your application and ensures you get all the latest updates. Plus, it shows 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 experience with specific frameworks and how you've applied them in real-world scenarios. This will show your depth of knowledge and practical application.
✨Safety Standards Matter
Familiarise yourself with safety standards in autonomous systems. Prepare examples of how you've ensured safety in your previous projects. This will demonstrate your commitment to safety, which is crucial for this role.
✨Showcase Your Experience
With over 5 years of experience required, be prepared to highlight key projects that showcase your skills in computer vision and machine learning. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and future directions in robotics. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.
