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- Tasks: Apply AI techniques to develop ad auction systems and analyse user behaviour.
- Company: Leading tech company in Greater London with a focus on innovation.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Why this job: Join a pioneering team and shape the future of AI technology.
- Qualifications: PhD in a related field and experience in machine learning algorithms.
- Other info: Exciting role in a rapidly evolving area with great career potential.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology company in Greater London is looking for a Research Scientist in AI/ML. The role involves applying AI techniques for Ad auction development and understanding user behavior.
Candidates should have or be pursuing a PhD in a related technical field and possess experience in developing machine learning algorithms.
This position offers a unique opportunity to drive innovations in a nascent area, alongside competitive compensation and benefits.
AI/ML Research Scientist (PhD) — Build scalable AI systems employer: Meta
Contact Detail:
Meta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Research Scientist (PhD) — Build scalable AI systems
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI/ML field on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Showcase your projects! Create a portfolio of your work, especially any machine learning algorithms you've developed. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews! Brush up on your AI techniques and be ready to discuss your research. We recommend practicing with peers or using online platforms to simulate the interview experience.
✨Tip Number 4
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 AI/ML Research Scientist (PhD) — Build scalable AI systems
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in AI and ML. We want to see how your skills align with the role, so don’t be shy about showcasing your PhD work and any projects that demonstrate your expertise in developing machine learning algorithms.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI/ML and how you can contribute to our team. We love seeing candidates who can articulate their understanding of user behaviour and ad auction development.
Showcase Your Projects: If you've worked on any interesting projects or research, make sure to include them in your application. We’re keen to see real-world applications of your skills, especially those that relate to scalable AI systems.
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 regarding the hiring process!
How to prepare for a job interview at Meta
✨Know Your Algorithms
Make sure you brush up on the machine learning algorithms you've worked with. Be ready to discuss how you've applied them in your previous projects, especially in relation to AI techniques for ad auctions and user behaviour analysis.
✨Showcase Your Research
Prepare to talk about your PhD research in detail. Highlight any innovative approaches you've taken and how they could apply to the role. This is your chance to demonstrate your expertise and passion for AI/ML.
✨Understand the Company’s Vision
Do some homework on the company’s current projects and future goals in AI. Being able to align your skills and experiences with their vision will show that you're genuinely interested and invested in the role.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your understanding of the field and the company's challenges. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
