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- Tasks: Lead large-scale training for enterprise-grade AI software engineering models.
- Company: High-growth AI startup focused on innovative software solutions.
- Benefits: Remote work, competitive salary, and the chance to shape AI tools.
- Why this job: Make a global impact on AI-driven tools used by developers.
- Qualifications: Expertise in PyTorch and experience with large language models.
- Other info: Join a dynamic team with exciting growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A high-growth AI software engineering startup is seeking an ML Engineer to lead large-scale training for enterprise-grade software engineering LLMs. You will design and implement training pipelines, develop novel reward functions, and work with cutting-edge GPU resources.
The ideal candidate should have deep expertise in PyTorch and experience with large language models. This remote position offers a unique opportunity to impact AI-driven tools used by developers globally.
ML Engineer — Large-Scale RL/SFT for 70B+ LLMs (Remote) in London employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer — Large-Scale RL/SFT for 70B+ LLMs (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community on LinkedIn or Twitter. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Showcase your skills! Create a portfolio of projects that highlight your experience with PyTorch and large language models. This can be a game-changer when it comes to impressing potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of training pipelines. Practice common ML problems and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can give you an edge in the hiring process.
We think you need these skills to ace ML Engineer — Large-Scale RL/SFT for 70B+ LLMs (Remote) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in PyTorch and any experience you have with large language models. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your past experiences relate to designing training pipelines and developing reward functions. It’ll make your application stand out!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our high-growth startup.
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your Tech Inside Out
Make sure you brush up on your PyTorch skills and any relevant frameworks. Be ready to discuss your experience with large language models and how you've tackled challenges in previous projects. This will show that you're not just familiar with the tech, but that you can really leverage it.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific instances where you've designed training pipelines or developed reward functions. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This helps interviewers see your thought process and how you approach complex problems.
✨Understand the Company’s Vision
Research the startup's mission and recent projects. Being able to articulate how your skills align with their goals will demonstrate your genuine interest in the role. Plus, it shows that you’re proactive and invested in the company’s success.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the technology stack they use, and future projects. This not only shows your enthusiasm for the role but also helps you gauge if the company is the right fit for you. Remember, interviews are a two-way street!
