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- Tasks: Develop innovative algorithms to enhance ad quality and user experiences.
- Company: Major tech company in Greater London with a focus on AI/ML.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Join a leading tech firm and make a real impact on ad monetisation.
- Qualifications: Bachelor's in AI or Computer Science; PhD preferred with ML experience.
- Other info: Dynamic team environment with significant career advancement potential.
The predicted salary is between 48000 - 72000 £ per year.
A major tech company in Greater London is seeking a Staff Software Specialist focused on AI/ML in Monetisation to enhance ads quality across platforms. This role involves developing novel algorithms, improving user experiences with ads, and leading teams to drive significant metrics.
Candidates should hold a Bachelor's degree in AI or Computer Science and have experience with machine learning algorithms. A PhD is preferred, along with experience in user behavior modeling and reinforcement learning.
Staff ML Engineer - Ads AI/ML Monetisation employer: Meta
Contact Detail:
Meta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff ML Engineer - Ads AI/ML Monetisation
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 projects related to AI/ML and monetisation. This is your chance to demonstrate your expertise in algorithms and user behaviour modelling, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common ML interview questions and be ready to discuss your past experiences leading teams and driving metrics.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Staff ML Engineer - Ads AI/ML Monetisation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI and machine learning algorithms. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about ads quality and how your background in user behaviour modelling can contribute to our team. Keep it engaging and personal!
Showcase Your Technical Skills: Don’t forget to mention any specific tools or technologies you’ve worked with that are relevant to the role. We love seeing candidates who are hands-on with the latest AI/ML frameworks and can bring that expertise to us.
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!
How to prepare for a job interview at Meta
✨Know Your Algorithms
Brush up on your knowledge of machine learning algorithms, especially those relevant to ads and user behaviour. Be ready to discuss how you've applied these in past projects, as this will show your practical experience and understanding.
✨Showcase Your Leadership Skills
Since this role involves leading teams, prepare examples of how you've successfully led projects or teams in the past. Highlight your ability to drive metrics and improve user experiences, as this aligns with what the company is looking for.
✨Prepare for Technical Questions
Expect technical questions that dive deep into AI/ML concepts, particularly reinforcement learning and user behaviour modelling. Practise explaining complex ideas clearly and concisely, as this will demonstrate your expertise and communication skills.
✨Research the Company’s Ads Strategy
Familiarise yourself with the company's current advertising strategies and any recent innovations they've made in AI/ML. This will not only help you answer questions but also allow you to ask insightful questions, showing your genuine interest in the role.
