At a Glance
- Tasks: Shape AI research by optimising training infrastructure and designing performance enhancements.
- Company: Early-stage AI startup in Greater London with exciting growth potential.
- Benefits: High responsibility role with opportunities for professional development.
- Other info: Dynamic environment with a focus on scalable AI models for structured data.
- Why this job: Join a cutting-edge team and make a real impact in AI innovation.
- Qualifications: PhD or Master's in Machine Learning or Computer Science, plus Python and PyTorch skills.
The predicted salary is between 50000 - 70000 € per year.
Vertex Search in Greater London is seeking a Research Engineer to help shape research direction in AI. This role involves optimising training infrastructure, designing performance enhancements, and writing GPU kernels.
Candidates should have:
- A PhD or Master's in Machine Learning or Computer Science
- Proficiency in Python and PyTorch
- Experience with distributed training
The position offers high responsibility in an early-stage AI startup with exciting growth opportunities.
Research Engineer: Scalable AI Models for Structured Data in London employer: Vertex Search
Vertex Search in Greater London is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Research Engineer, you will be at the forefront of AI advancements, with ample opportunities for professional growth and development in a supportive environment. The startup atmosphere encourages creativity and initiative, making it an ideal place for those looking to make a meaningful impact in the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer: Scalable AI Models for Structured Data in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning community, especially those who work at Vertex Search or similar companies. 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 projects in Python and PyTorch. Whether it's a GitHub repo or a personal website, let your work speak for itself. This is your chance to shine beyond the CV!
✨Tip Number 3
Prepare for the interview like it’s the final exam! Brush up on your knowledge of distributed training and GPU kernels. Be ready to discuss your past experiences and how they relate to optimising training infrastructure.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Research Engineer: Scalable AI Models for Structured Data in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python, PyTorch, and distributed training in your application. We want to see how your skills align with the role, so don’t hold back!
Tailor Your CV:Customise your CV to reflect the specific requirements mentioned in the job description. We love seeing candidates who take the time to connect their experiences directly to what we’re looking for.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about AI and how you can contribute to our team. This is your chance to show your personality and enthusiasm, so make it count!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Vertex Search
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning and computer science principles. Be ready to discuss your PhD or Master's research in detail, especially any projects involving AI models or distributed training.
✨Show Off Your Skills
Prepare to demonstrate your proficiency in Python and PyTorch. You might be asked to solve a coding problem or explain how you've used these tools in past projects, so have some examples ready that showcase your skills.
✨Understand the Company
Research Vertex Search and their current projects. Knowing their focus areas and challenges will help you tailor your answers and show that you're genuinely interested in contributing to their mission.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company's direction in AI. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals and values.
