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- Tasks: Lead the development of GenAI data loading and storage systems.
- Company: A leading technology company in the UK with a focus on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Shape the future of AI data platforms and work on exciting projects.
- Qualifications: Strong technical background in C/C++ or Python and experience with large-scale data infrastructures.
- Other info: Collaborative environment with cross-functional teams and dynamic career opportunities.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology company in the UK seeks a Software Engineer for its MSL Data team. In this role, you will lead the development of GenAI data loading and storage systems.
Responsibilities include:
- Designing scalable solutions
- Collaborating with cross-functional teams
The ideal candidate has a strong technical background, proficiency in C/C++ or Python, and experience with large-scale data infrastructures. This exciting opportunity allows you to shape the future of AI data platforms.
Lead GenAI Data Systems Engineer employer: Meta
Contact Detail:
Meta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead GenAI Data Systems Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in GenAI or data systems. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in C/C++ or Python, especially those related to large-scale data infrastructures. This will help us see your practical experience and how you can contribute to our team.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and system design questions that relate to scalable solutions. We want to see how you think on your feet!
✨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 us you’re genuinely interested in being part of our exciting journey in shaping AI data platforms.
We think you need these skills to ace Lead GenAI Data Systems Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with C/C++ or Python, especially in relation to large-scale data infrastructures. We want to see how your skills align with the role of Lead GenAI Data Systems Engineer!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about shaping the future of AI data platforms and how your background makes you the perfect fit for our MSL Data team.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Share examples that demonstrate your ability to design scalable solutions and collaborate with cross-functional teams. We love seeing real-world applications of 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 this exciting opportunity. Let’s shape the future together!
How to prepare for a job interview at Meta
✨Know Your Tech Inside Out
Make sure you brush up on your C/C++ or Python skills before the interview. Be ready to discuss your previous projects and how you've tackled challenges in large-scale data infrastructures. This will show that you have the technical chops for the role.
✨Understand the Company’s Vision
Research the technology company and its MSL Data team. Familiarise yourself with their current projects and how they’re shaping AI data platforms. This knowledge will help you align your answers with their goals and demonstrate your genuine interest in the position.
✨Prepare for Collaboration Questions
Since the role involves working with cross-functional teams, be prepared to discuss your experience in collaboration. Think of specific examples where you successfully worked with others to achieve a common goal, and how you handled any conflicts that arose.
✨Showcase Your Problem-Solving Skills
Be ready to tackle some technical problems during the interview. Practice coding challenges or system design questions related to data loading and storage systems. This will not only showcase your problem-solving abilities but also your approach to designing scalable solutions.
