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- Tasks: Revolutionise software testing by developing autonomous agents using reinforcement learning.
- Company: Innovative AI firm based in London with a focus on cutting-edge technology.
- Benefits: Equity, significant resources, and opportunities to drive innovation in QA.
- Why this job: Shape the future of AI and make a real impact in the industry.
- Qualifications: 5+ years in machine learning, expertise in RL, and mastery of Python and PyTorch.
- Other info: Join a dynamic team and be at the forefront of AI advancements.
The predicted salary is between 48000 - 72000 £ per year.
An innovative AI firm based in London seeks an experienced AI Engineer to revolutionize software testing through reinforcement learning. You will develop autonomous agents that learn and adapt while surfacing real application bugs.
Applicants should have:
- Over 5 years in machine learning
- Deep expertise in RL techniques
- Mastery of Python and PyTorch
The role offers equity and significant resources to drive innovation in QA, enabling you to shape how the industry functions in this new age of AI.
Autonomous RL Engineer: Build Self-Healing AI for Production employer: Duku AI
Contact Detail:
Duku AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Autonomous RL Engineer: Build Self-Healing AI for Production
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning community, especially those who are already working in companies you admire. A friendly chat can sometimes lead to job opportunities that aren't even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving reinforcement learning and Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past experiences with RL techniques. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing passionate candidates who are eager to innovate in the AI space. Your next big opportunity could be just a click away!
We think you need these skills to ace Autonomous RL Engineer: Build Self-Healing AI for Production
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years in machine learning and any specific projects you've worked on. We want to see how your expertise aligns with our mission to revolutionise software testing!
Get Technical: Don’t shy away from showcasing your deep knowledge of reinforcement learning techniques, Python, and PyTorch. We’re looking for someone who can hit the ground running, so let us know what you’ve mastered!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. We love seeing how you connect your skills to the role of an Autonomous RL Engineer. It shows us you’re genuinely interested in joining our team!
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 from our side!
How to prepare for a job interview at Duku AI
✨Know Your Reinforcement Learning Inside Out
Make sure you brush up on your reinforcement learning techniques. Be ready to discuss specific algorithms you've worked with and how they've impacted your projects. This is your chance to showcase your deep expertise, so prepare examples that highlight your problem-solving skills in real-world applications.
✨Show Off Your Python and PyTorch Skills
Since mastery of Python and PyTorch is crucial for this role, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot or explain your thought process behind a project. Practise coding challenges and be ready to discuss your previous work involving these technologies.
✨Understand the Company’s Vision
Research the innovative AI firm and understand their mission in revolutionising software testing. Be ready to discuss how your background aligns with their goals and how you can contribute to shaping the future of QA. Showing genuine interest in their vision will set you apart from other candidates.
✨Prepare Questions That Matter
Interviews are a two-way street, so come armed with thoughtful questions about the role and the company. Ask about their current projects, the team dynamics, or how they envision the future of self-healing AI. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
