At a Glance
- Tasks: Develop machine learning algorithms to enhance monetisation and ads quality.
- Company: Leading tech company focused on innovation and user experience.
- Benefits: Full-time role with competitive salary and growth opportunities.
- Why this job: Join a dynamic team making a real impact in AI and monetisation.
- Qualifications: Background in AI or computer science, with Python and machine learning experience.
- Other info: Exciting opportunity based in London, perfect for tech enthusiasts.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology company is seeking a Software Specialist to focus on AI/ML for monetization. The role involves developing machine learning algorithms, driving technical direction, and collaborating across functions.
Candidates should have a background in AI or computer science, and experience in Python and machine learning technologies.
Join an innovative team aiming to enhance user experiences and revenue growth. This is a full-time position offered in London, England.
AI/ML Lead Engineer – Monetisation & Ads Quality in London employer: Meta
Contact Detail:
Meta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Lead Engineer – Monetisation & Ads Quality in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space on LinkedIn or at meetups. 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 machine learning projects. This could be anything from algorithms you've developed to interesting data analyses. It’s a great way to stand out!
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and ML concepts, and be ready to discuss how you've tackled challenges in past projects. Practice makes perfect, so do some mock interviews with friends.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it shows you’re genuinely interested in joining our innovative team.
We think you need these skills to ace AI/ML Lead Engineer – Monetisation & Ads Quality in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
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 monetisation goals. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Technical Skills: Since this role involves developing machine learning algorithms, make sure to mention your proficiency in Python and any other relevant technologies. We’re keen to know about your hands-on experience, so feel free to include specific examples.
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 – just follow the prompts and submit your materials!
How to prepare for a job interview at Meta
✨Know Your AI/ML Stuff
Make sure you brush up on your knowledge of machine learning algorithms and their applications in monetisation. Be ready to discuss specific projects you've worked on, especially those involving Python and AI technologies.
✨Showcase Your Collaboration Skills
This role involves working across functions, so be prepared to share examples of how you've successfully collaborated with different teams. Highlight any experiences where you drove technical direction or contributed to cross-functional projects.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice explaining complex concepts in simple terms, as you might need to demonstrate your understanding of AI/ML principles and how they can enhance user experiences.
✨Align with Their Vision
Research the company’s goals regarding monetisation and ads quality. Be ready to discuss how your skills and experiences align with their mission to enhance user experiences and drive revenue growth. Show them you're not just a fit for the role, but also for their culture.