At a Glance
- Tasks: Join a cutting-edge team to develop LLM Agents for coding and research.
- Company: FAIR, a leader in AI research with a focus on innovation.
- Benefits: Competitive salary, collaborative environment, and opportunities for groundbreaking research.
- Other info: 100% on-site role with a dynamic team and growth potential.
- Why this job: Make a real impact in the AI field while working on exciting projects.
- Qualifications: PhD in relevant fields and expertise in Python and LLMs required.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for a research engineer to join FAIR to work on LLM Agents for coding and research.
Responsibilities
- Responsible for code generation LLMs, transformers for code, compilers or program analysis, and large-scale ML model training.
- The role centers on machine learning for code — including program optimization, verification, code reasoning, and software engineering agents built on LLMs.
- Support creative data sourcing, high-quality pre/mid/post-training data curation, and scale and optimize data pipelines for multimodal large language models (LLMs).
- Responsible for designing architectures to make LLMs better at generalization and reasoning.
Qualifications
- PhD in Computer Science, Mathematics, Physics, or related field, with strong research or industry experience.
- Deep expertise in Python programming.
- Strong experience working with Large Language Models (LLMs).
- Experience with tools and frameworks for building and working with modern AI models (e.g., PyTorch, TensorFlow, Transformers, Hugging Face).
- Proven ability to lead complex and ambiguous technical projects from conception to completion.
- Experience training coding agents and turning LLM agents for code, or adjacent areas, and a desire to learn this field.
ML Research Engineer: LLM Coding & Agent Tech (London) employer: Qualitest acq
Join a pioneering team at FAIR in London, where innovation meets collaboration in the realm of machine learning. As an ML Research Engineer, you'll thrive in a dynamic work culture that prioritises creativity and professional growth, offering access to cutting-edge resources and mentorship from industry leaders. With a focus on meaningful projects and a commitment to employee development, this role provides a unique opportunity to contribute to groundbreaking advancements in coding and AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land ML Research Engineer: LLM Coding & Agent Tech (London)
✨Tip Number 1
Network like a pro! Reach out to folks in the ML community, attend meetups, and connect with researchers on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to LLMs and coding agents. This could be anything from GitHub repos to blog posts explaining your work. It’s a great way to stand out and demonstrate your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and approach complex problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace ML Research Engineer: LLM Coding & Agent Tech (London)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the ML Research Engineer role. Highlight your PhD work and any relevant experience with LLMs, Python, and AI frameworks. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for machine learning and coding, and explain why you’re excited about this role at StudySmarter. Let us know how you can contribute to our team!
Showcase Your Projects:If you've worked on any projects related to code generation or LLMs, make sure to mention them. We love seeing practical examples of your work, so don’t hold back on sharing your achievements!
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!
How to prepare for a job interview at Qualitest acq
✨Know Your Stuff
Make sure you brush up on your knowledge of LLMs and coding agents. Be ready to discuss your PhD research and how it relates to the role. Familiarise yourself with the latest advancements in Python programming and frameworks like PyTorch and TensorFlow.
✨Showcase Your Projects
Prepare to talk about specific projects you've worked on, especially those involving code generation or program optimisation. Highlight your experience leading complex technical projects and how you tackled challenges along the way.
✨Ask Smart Questions
Interviews are a two-way street! Prepare insightful questions about the company's approach to LLMs and their future projects. This shows your genuine interest and helps you gauge if the company is the right fit for you.
✨Practice Problem-Solving
Expect some technical questions or coding challenges during the interview. Practice solving problems related to code reasoning and optimisation beforehand. This will help you feel more confident and demonstrate your expertise effectively.
