At a Glance
- Tasks: Develop Large Language Models for AI coding tasks and translate business needs into tech specs.
- Company: Join JetBrains, a leader in innovative software development with an inclusive culture.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for continuous learning.
- Other info: Work in a dynamic environment that values independent project management and attention to detail.
- Why this job: Make a real impact in AI by building cutting-edge models from the ground up.
- Qualifications: Experience in deploying ML systems and strong NLP knowledge required.
The predicted salary is between 60000 - 80000 € per year.
JetBrains is looking for a Research Engineer in Greater London to contribute to the training of foundation models for AI coding tasks. This role involves developing Large Language Models from scratch, working closely with stakeholders to translate business requirements into technical specifications.
The ideal candidate should have:
- Experience in deploying production ML systems
- A strong theoretical background in NLP
- Proficiency in frameworks like PyTorch
JetBrains promotes an inclusive workplace and values independent project management, attention to detail, and continuous learning.
Staff LLM Foundations Engineer in London employer: JetBrains
JetBrains is an excellent employer, offering a dynamic and inclusive work environment in Greater London where innovation thrives. Employees benefit from opportunities for continuous learning and professional growth, while engaging in meaningful projects that shape the future of AI coding tasks. With a strong emphasis on independent project management and collaboration, JetBrains fosters a culture that values creativity and technical excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Staff LLM Foundations Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at JetBrains. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got projects or contributions related to Large Language Models or NLP, make sure to highlight them in conversations. Real-world examples speak volumes.
✨Tip Number 3
Prepare for technical interviews by brushing up on your PyTorch skills and understanding the latest in ML systems. We all know that confidence in your knowledge can set you apart from the crowd.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in being part of the JetBrains team.
We think you need these skills to ace Staff LLM Foundations Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Large Language Models and NLP. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI coding tasks and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a bit of personality!
Showcase Your Technical Skills:When filling out your application, be specific about your proficiency in frameworks like PyTorch. We’re keen on candidates who can demonstrate their technical prowess, so include any relevant projects or experiences that highlight your skills.
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 the role. Plus, it’s super easy – just follow the prompts and you’ll be set!
How to prepare for a job interview at JetBrains
✨Know Your Models
Make sure you brush up on your knowledge of Large Language Models and their applications in AI coding tasks. Be ready to discuss your experience with deploying production ML systems and how you've tackled challenges in the past.
✨Translate Business Needs
Prepare to demonstrate how you can translate business requirements into technical specifications. Think of examples where you've successfully collaborated with stakeholders to deliver projects that meet their needs.
✨Showcase Your Skills
Familiarise yourself with frameworks like PyTorch, as you'll likely be asked about your proficiency. Bring along any relevant projects or code samples that showcase your skills and understanding of NLP.
✨Embrace Continuous Learning
JetBrains values continuous learning, so be prepared to discuss how you keep your skills sharp. Share any recent courses, workshops, or personal projects that highlight your commitment to staying updated in the field.
