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- Tasks: Advance reinforcement learning AI capabilities through research and engineering.
- Company: Public benefit corporation in London focused on ethical AI development.
- Benefits: Competitive compensation, supportive environment, and hybrid work model.
- Why this job: Join a team at the forefront of AI and make a positive impact.
- Qualifications: Bachelor's degree with strong Python and machine learning skills.
- Other info: Collaborative culture with diverse teams and commitment to ethical practices.
The predicted salary is between 28800 - 48000 £ per year.
A public benefit corporation in London is looking for a Research Engineer to advance reinforcement learning AI capabilities. This role demands collaboration with diverse teams and involves both research and engineering at the forefront of AI development.
The ideal candidate should have a Bachelor's degree and strong skills in Python and machine learning frameworks.
Competitive compensation, a supportive environment, and a hybrid work model are offered, including commitment to ethical AI development.
Reinforcement Learning Research Engineer: Scalable, Safe AI in London employer: Alcides Fonseca
Contact Detail:
Alcides Fonseca Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Reinforcement Learning Research Engineer: Scalable, Safe AI in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those working in reinforcement learning. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and machine learning frameworks. This is your chance to demonstrate your expertise and passion for AI, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Practice common interview questions related to reinforcement learning and be ready to discuss your collaborative experiences. Remember, they want to see how you fit into their team!
✨Tip Number 4
Don’t forget to apply through our website! We’re committed to ethical AI development and want to see passionate candidates like you. Keep an eye on our job postings and make sure your application shines!
We think you need these skills to ace Reinforcement Learning Research Engineer: Scalable, Safe AI in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for reinforcement learning and AI shine through. We want to see how your interests align with our mission of ethical AI development.
Highlight Relevant Experience: Make sure to showcase any projects or experiences that demonstrate your skills in Python and machine learning frameworks. We love seeing practical applications of your knowledge!
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Research Engineer role. We appreciate when candidates take the time to connect their skills to what we’re looking for.
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 this exciting opportunity in our supportive environment.
How to prepare for a job interview at Alcides Fonseca
✨Know Your Reinforcement Learning
Make sure you brush up on the latest advancements in reinforcement learning. Be prepared to discuss key concepts, algorithms, and their applications. This shows your passion for the field and that you're up-to-date with current trends.
✨Showcase Your Python Skills
Since strong Python skills are a must, be ready to demonstrate your coding abilities. You might be asked to solve a problem or explain your previous projects. Practise coding challenges beforehand to boost your confidence.
✨Emphasise Collaboration
This role involves working with diverse teams, so highlight your teamwork experiences. Share examples of how you've successfully collaborated on projects, especially in research or engineering contexts. It’s all about showing you can work well with others!
✨Align with Ethical AI Development
Given the company's commitment to ethical AI, be prepared to discuss your views on responsible AI practices. Think about how you can contribute to this mission and share any relevant experiences or ideas during the interview.
