At a Glance
- Tasks: Evaluate LLM architecture and refine RLHF frameworks in a dynamic team.
- Company: Prolific, a leader in AI and Machine Learning innovation.
- Benefits: Earn up to $80 per hour with flexible hours and remote work options.
- Other info: Exciting opportunity for growth in a cutting-edge tech environment.
- Why this job: Join us to shape the future of AI and make a real impact.
- Qualifications: BS, MS, or PhD in a relevant field with expertise in ML model development.
The predicted salary is between 64000 - 83200 € per year.
Prolific is looking for an AI & Machine Learning Engineer to join their team in Newcastle upon Tyne. The role involves evaluating LLM architecture, auditing ML code, and refining RLHF frameworks.
Ideal candidates will hold a BS, MS, or PhD in a relevant field and possess deep expertise in developing ML models.
Compensation is up to $80 per hour with flexible hours and remote work options available. Join Prolific to contribute to cutting-edge AI training.
AI/ML Engineer — RLHF & Model Evaluation (Remote) in Newcastle upon Tyne employer: Prolific
Prolific is an exceptional employer that fosters a dynamic and innovative work culture, perfect for AI/ML Engineers looking to make a significant impact in the field of machine learning. With competitive compensation of up to $80 per hour, flexible working hours, and the opportunity to work remotely from Newcastle upon Tyne, employees are empowered to thrive both personally and professionally. The company prioritises employee growth through continuous learning and collaboration on cutting-edge AI projects, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land AI/ML Engineer — RLHF & Model Evaluation (Remote) in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML community on LinkedIn or Twitter. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to LLM architecture and RLHF frameworks. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and coding challenges. Practice explaining your thought process clearly, as communication is key in tech roles.
✨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 AI/ML Engineer — RLHF & Model Evaluation (Remote) in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with ML models and RLHF frameworks. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. Let us know what excites you about this role!
Showcase Your Technical Skills:When applying, be sure to mention specific tools and technologies you’ve worked with. We love seeing candidates who can demonstrate their expertise in evaluating LLM architecture and auditing ML code.
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 team!
How to prepare for a job interview at Prolific
✨Know Your ML Models Inside Out
Make sure you can discuss your experience with various machine learning models in detail. Be prepared to explain how you've developed and evaluated these models, especially in the context of RLHF frameworks. This shows your depth of knowledge and passion for the field.
✨Familiarise Yourself with Prolific's Work
Research Prolific and their projects related to AI and machine learning. Understanding their approach to LLM architecture and model evaluation will help you tailor your answers and demonstrate your genuine interest in joining their team.
✨Prepare for Technical Questions
Expect to face technical questions that assess your coding skills and understanding of ML concepts. Brush up on auditing ML code and be ready to solve problems on the spot. Practising common interview questions can give you a solid edge.
✨Showcase Your Flexibility and Remote Work Skills
Since this is a remote position, highlight your ability to work independently and manage your time effectively. Share examples of how you've successfully collaborated with teams remotely, as this will reassure them of your adaptability in a flexible work environment.
