Lead Autonomous RL Engineer: Production-Scale Agents
Lead Autonomous RL Engineer: Production-Scale Agents

Lead Autonomous RL Engineer: Production-Scale Agents

Full-Time 48000 - 72000 Β£ / year (est.) No home office possible
D

At a Glance

  • Tasks: Develop cutting-edge AI agents that learn and adapt in real-world scenarios.
  • Company: Innovative AI engineering firm based in Greater London.
  • Benefits: Significant equity, resources, and a transformative team environment.
  • Why this job: Join a pioneering team and shape the future of AI with your expertise.
  • Qualifications: 5+ years in machine learning, deep reinforcement learning, and proficiency in Python and PyTorch.
  • Other info: Be part of a dynamic team pushing the boundaries of technology.

The predicted salary is between 48000 - 72000 Β£ per year.

An innovative AI engineering firm in Greater London is seeking a Senior AI Engineer to push the boundaries of reinforcement learning. You will develop agents that learn from real-world applications and evolve in response to challenges.

Candidates should have:

  • Over 5 years of experience in machine learning, particularly in deep reinforcement learning
  • A strong command of Python and PyTorch

The role offers the opportunity to be part of a transformative team in AI, with significant equity and resources available.

Lead Autonomous RL Engineer: Production-Scale Agents employer: Duku AI

Join an innovative AI engineering firm in Greater London, where you'll be at the forefront of developing cutting-edge reinforcement learning agents. With a strong emphasis on collaboration and creativity, our work culture fosters continuous learning and professional growth, offering significant equity and resources to support your journey. Experience the unique advantage of working in a vibrant tech hub, surrounded by like-minded professionals dedicated to pushing the boundaries of AI technology.
D

Contact Detail:

Duku AI Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Lead Autonomous RL Engineer: Production-Scale Agents

✨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're interested in. A friendly chat can open doors that a CV just can't.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects in reinforcement learning. Whether it's GitHub repos or a personal website, let your work speak for itself. We love seeing what you can do!

✨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 projects in detail. We want to see how you think and tackle real-world problems.

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate individuals ready to push the boundaries of AI with us.

We think you need these skills to ace Lead Autonomous RL Engineer: Production-Scale Agents

Reinforcement Learning
Deep Reinforcement Learning
Machine Learning
Python
PyTorch
Real-World Application Development
Agent Development
Problem-Solving Skills
Team Collaboration
Adaptability

Some tips for your application 🫑

Show Off Your Experience: Make sure to highlight your 5+ years of experience in machine learning, especially in deep reinforcement learning. We want to see how you've tackled real-world challenges and what you've achieved in your previous roles.

Get Technical: Don’t shy away from showcasing your technical skills! Mention your proficiency in Python and PyTorch clearly. We love seeing candidates who can demonstrate their coding prowess and how it relates to developing production-scale agents.

Be Innovative: Since we’re all about pushing boundaries, let your creativity shine through in your application. Share any unique projects or ideas you’ve worked on that could contribute to our transformative team in AI.

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 during the process!

How to prepare for a job interview at Duku AI

✨Know Your Reinforcement Learning Inside Out

Make sure you brush up on the latest advancements in reinforcement learning, especially deep reinforcement learning. Be prepared to discuss your past projects and how you've applied these concepts in real-world scenarios.

✨Show Off Your Python and PyTorch Skills

Since the role requires a strong command of Python and PyTorch, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to machine learning before the interview.

✨Prepare for Scenario-Based Questions

Expect questions that assess how you would handle specific challenges in developing production-scale agents. Think about past experiences where you faced obstacles and how you overcame them, as this will showcase your problem-solving abilities.

✨Express Your Passion for AI Innovation

This is a transformative team in AI, so let your enthusiasm shine through! Share your vision for the future of reinforcement learning and how you see yourself contributing to the company's goals. This will help you stand out as a candidate who is not just qualified but also genuinely excited about the work.

Lead Autonomous RL Engineer: Production-Scale Agents
Duku AI

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

D
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>