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- Tasks: Create educational robotics videos by working on robots and AI systems with Lex Fridman.
- Company: Join a dynamic team led by renowned AI researcher Lex Fridman.
- Benefits: Remote work flexibility and the chance to collaborate on exciting projects.
- Why this job: Be part of innovative efforts in robotics and AI while making educational content.
- Qualifications: Experience in robotics, AI, or related fields is a plus.
- Other info: Open to remote applications and actively interviewing candidates.
The predicted salary is between 36000 - 60000 £ per year.
I am currently involved in several efforts: (A) podcast & videos, (B) research, (C) startup. This page (for now) is for help I need on effort A (and some B).
If you’ve applied previously, you don’t need to apply again. Remote applications welcome.
Here are the positions I’m currently hiring for:
- Description: Work on robots and AI systems (software & hardware) with Lex for the purpose of creating educational robotics videos. Remote applications welcome.
Application Status: Open and actively interviewing.
Machine Learning & Robotics Engineer in London employer: Jobs For All
Contact Detail:
Jobs For All Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning & Robotics Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the robotics and AI community, especially those connected to Lex Fridman. A friendly message on LinkedIn or joining relevant forums can open doors for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in machine learning and robotics. This is your chance to demonstrate what you can bring to the table beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Practice explaining complex concepts simply, as you'll need to communicate effectively with a diverse audience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about working with us on this exciting project.
We think you need these skills to ace Machine Learning & Robotics Engineer in London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for robotics and AI shine through. We want to see that you’re genuinely excited about the work we do and how you can contribute to creating educational content.
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and robotics. We love seeing specific projects or achievements that relate directly to the role, so don’t hold back on the details!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Be personal, be engaging, and connect your skills to what we’re looking for. We want to know what makes you tick!
Apply Through Our Website: To make sure your application gets to us without a hitch, apply directly through our website. It’s the best way to ensure we see your application and can get back to you quickly!
How to prepare for a job interview at Jobs For All
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning and robotics. Familiarise yourself with the latest trends and technologies in the field, especially those relevant to educational content creation. This will show that you're not just a candidate, but someone genuinely passionate about the subject.
✨Showcase Your Projects
Prepare to discuss any relevant projects you've worked on, particularly those involving AI systems or robotics. Bring along examples of your work, whether it's code, videos, or prototypes. This will help demonstrate your hands-on experience and creativity.
✨Engage with Lex's Work
Take some time to watch Lex Fridman's podcasts and videos. Understanding his style and the topics he covers will give you an edge in the interview. You can even mention specific episodes or ideas that resonate with you, showing that you're engaged and informed.
✨Ask Thoughtful Questions
Prepare a few insightful questions about the projects you'll be working on or the direction of the educational robotics videos. This not only shows your interest but also helps you gauge if this is the right fit for you. Remember, interviews are a two-way street!
