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 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
✨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! Create a portfolio showcasing your work with Large Language Models and NLP projects. This is your chance to demonstrate your expertise beyond the CV.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss your experience with PyTorch and how you've tackled real-world ML challenges.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Staff LLM Foundations Engineer
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 excited about the role at JetBrains and how your background makes you a perfect fit. We love seeing genuine enthusiasm and a clear connection to our mission.
Showcase Your Projects:If you've worked on any production ML systems or have experience with frameworks like PyTorch, make sure to include those in your application. We appreciate candidates who can demonstrate their hands-on experience and problem-solving 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 don’t miss out on any important updates from us during the process!
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.
✨Understand the Business Side
JetBrains values candidates who can translate business requirements into technical specifications. Prepare examples of how you've worked with stakeholders to align technical solutions with business goals, showcasing your ability to bridge the gap between tech and business.
✨Showcase Your Technical Skills
Be prepared to demonstrate your proficiency in frameworks like PyTorch. You might be asked to solve a problem on the spot or discuss your previous projects, so have specific examples ready that highlight your technical expertise and attention to detail.
✨Embrace Continuous Learning
JetBrains promotes a culture of continuous learning. Share how you stay updated with the latest trends in NLP and ML. Discuss any recent courses, workshops, or projects that reflect your commitment to personal and professional growth.
