At a Glance
- Tasks: Train AI models and develop deep learning systems for humanoid robots.
- Company: Humanoid, a leading UK company in robotics and AI.
- Benefits: Comprehensive healthcare, generous leave, equity options, and expert collaboration.
- Other info: Collaborative environment with opportunities to work alongside top experts.
- Why this job: Join a cutting-edge team and shape the future of robotics with AI.
- Qualifications: 3+ years in AI engineering, proficient in Python and PyTorch.
The predicted salary is between 60000 - 80000 € per year.
Humanoid, based in the UK, seeks an experienced AI Engineer to advance humanoid robot technology. The role involves training AI models, working with MLOps teams, and developing deep learning systems.
Candidates should have at least 3 years of relevant experience and be proficient in Python and PyTorch.
Benefits include comprehensive healthcare, substantial annual leave, equity options, and collaborative work with top experts in AI and robotics.
Lead Deep Learning Engineer – Robotics & Edge AI in London employer: Humanoid
Humanoid is an exceptional employer that fosters a collaborative and innovative work culture, where employees are encouraged to push the boundaries of AI and robotics. With comprehensive healthcare benefits, generous annual leave, and equity options, team members can thrive both personally and professionally while working alongside leading experts in the field. Located in the UK, this role offers unique opportunities for growth and development in a cutting-edge industry.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Deep Learning Engineer – Robotics & Edge AI in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and robotics field on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your passion for deep learning.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those involving Python and PyTorch. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for technical interviews by brushing up on your deep learning concepts and MLOps practices. Practice coding challenges and be ready to discuss your past experiences in detail—this is where we can really shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at Humanoid.
We think you need these skills to ace Lead Deep Learning Engineer – Robotics & Edge AI in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI and deep learning, especially in Python and PyTorch. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about robotics and AI, and how your background makes you the perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects:If you've worked on any cool AI or robotics projects, make sure to mention them! We’re interested in seeing practical applications of your skills, so include links or descriptions that demonstrate your expertise.
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’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Humanoid
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and PyTorch, as these are crucial for the role. Brush up on your deep learning concepts and be ready to discuss specific projects where you've applied these technologies.
✨Showcase Your Experience
With at least 3 years of relevant experience required, prepare to share detailed examples of your work in AI and robotics. Highlight any projects where you trained AI models or collaborated with MLOps teams, as this will demonstrate your hands-on expertise.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of deep learning systems. Practice explaining complex concepts in simple terms, as this shows not only your knowledge but also your ability to communicate effectively with team members.
✨Emphasise Collaboration Skills
Since the role involves working with top experts, be ready to discuss how you’ve successfully collaborated in past projects. Share examples of teamwork and how you’ve contributed to a positive working environment, as this is key for a role at Humanoid.
