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- Tasks: Lead the development of an innovative RLOps platform for AI.
- Company: Fast-growing AI infrastructure startup with a focus on innovation.
- Benefits: Flexible work environment and the chance to influence AI research.
- Why this job: Shape the future of AI with cutting-edge reinforcement learning technology.
- Qualifications: Master's or Ph.D. in Computer Science or 3+ years in reinforcement learning.
- Other info: Join a dynamic team and make a real impact in the AI field.
The predicted salary is between 42000 - 84000 £ per year.
A fast-growing AI infrastructure startup is seeking a Reinforcement Learning Engineer to lead the development of an innovative RLOps platform. You will design scalable infrastructure for reinforcement learning model training and LLM finetuning.
The ideal candidate should hold a Master's or Ph.D. in Computer Science or have over 3 years of industry experience in reinforcement learning, and possess expertise in PyTorch, Ray, and Gym.
This position offers a flexible work environment and a unique chance to influence AI research.
RLOps Engineer: Build Open-Source RL Platform (Remote) in London employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land RLOps Engineer: Build Open-Source RL Platform (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and reinforcement learning community. Join relevant forums, attend meetups, or even slide into LinkedIn DMs. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in reinforcement learning, especially if you've worked with PyTorch, Ray, or Gym. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past experiences in detail. Practice common interview questions related to RLOps and think about how you can demonstrate your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace RLOps Engineer: Build Open-Source RL Platform (Remote) in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and reinforcement learning shine through. We want to see how your background and interests align with our mission at StudySmarter.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the RLOps Engineer role. Highlight your experience with PyTorch, Ray, and Gym, and any relevant projects that showcase your skills in building scalable infrastructure.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured documents that make it easy for us to see your qualifications and experiences without sifting through unnecessary fluff.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your Stuff
Make sure you brush up on your reinforcement learning concepts, especially around PyTorch, Ray, and Gym. Be ready to discuss your past projects and how you've applied these technologies in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you would approach designing scalable infrastructure for RL model training. Practising common problem-solving questions can really help you shine.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's vision for their RLOps platform and how they see it evolving. This shows your genuine interest and helps you gauge if it's the right fit for you.
✨Highlight Your Flexibility
Since this role offers a flexible work environment, be sure to mention your adaptability and how you thrive in remote settings. Share examples of how you've successfully collaborated with teams from different locations.
