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- Tasks: Lead the development of an innovative RLOps platform for AI research.
- Company: Fast-growing AI infrastructure startup with a focus on cutting-edge technology.
- Benefits: Flexible work environment and opportunity to influence AI research.
- Why this job: Make a real impact in the AI field while working remotely.
- Qualifications: Master's or Ph.D. in Computer Science or 3+ years in reinforcement learning.
- Other info: Join a dynamic team and shape the future of AI.
The predicted salary is between 48000 - 72000 £ 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) 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)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and reinforcement learning community. Join relevant forums, attend meetups, or connect on LinkedIn. 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 be prepared to solve problems on the spot.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace RLOps Engineer: Build Open-Source RL Platform (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in reinforcement learning and relevant technologies like PyTorch, Ray, and Gym. We want to see how your skills align with the role, so don’t be shy about showcasing your projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about RLOps 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 open-source projects or have relevant experience, make sure to mention them! We’re keen to see your hands-on work and how you’ve contributed to the field of AI and reinforcement learning.
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. Plus, it’s super easy!
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your Stuff
Make sure you brush up on your knowledge of reinforcement learning, especially the frameworks mentioned like PyTorch, Ray, and Gym. Be ready to discuss specific projects you've worked on and how they relate to building scalable infrastructure.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach designing an RLOps platform or fine-tuning LLMs. This is your chance to demonstrate your analytical thinking and creativity!
✨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.
✨Be Yourself
While technical skills are crucial, don’t forget to let your personality shine through. The company values innovation and collaboration, so showing your enthusiasm and passion for AI research can set you apart from other candidates.
