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For Companies At a Glance
- Tasks: Lead AI/ML projects to optimise ads and drive revenue growth.
- Company: Join Meta, a leader in tech innovation and social connectivity.
- Benefits: Enjoy competitive pay, health perks, remote work options, and career development.
- Why this job: Make a real impact on the future of advertising with cutting-edge technology.
- Qualifications: Experience in machine learning and strong analytical skills required.
- Other info: Dynamic team environment with opportunities for significant career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Software Specialist (TL) - AI/ML - Monetisation role at Meta. Ads is the largest revenue generator at Meta and Ads Quality represents around 20% of total revenues. Core Ads Quality is a team optimizing for both quality and revenue, aiming to generate long term revenue growth through user learning. The team works at the intersection of Ads, Machine Learning and User Behaviour understanding, with a strong analytical focus and collaboration with Data Scientists.
The org is structured into teams/sub-pillars including Integrity & Efficiency, Ads Conversion Familiarity, Post-Click Quality, Modelling and Quality Science, all focused on improving long-term revenue, quality signals, and efficient operations. The team has historically delivered incremental long-term revenue for Meta while maintaining high ads quality.
Responsibilities
- Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient.
- Effectively communicate complex features and systems in detail.
- Understand industry and company-wide trends to help assess & develop new technologies.
- Partner and collaborate with organization leaders to help improve the level of performance of the team and organization.
- Identify new opportunities for the larger organization and influence the appropriate people for staffing/prioritizing these new ideas.
- Lead long term technical strategy and roadmap for large cross-company efforts.
- Suggest, collect and synthesize requirements and create an effective feature and technology roadmap.
Minimum Qualifications
- Experience developing machine learning algorithms or machine learning infrastructure in Python, PyTorch, and/or C/C++.
- Bachelor in Artificial Intelligence (AI), computer science, related technical fields, or equivalent practical experience.
- Experience in bringing research results into production.
- Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term mission.
- Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions.
- Experience communicating and working across functions to drive solutions.
- Experience in manipulating and analyzing complex, high-volume data from varying sources.
- Large experience with machine learning / AI technologies.
Preferred Qualifications
- PhD in Artificial Intelligence (AI), computer science, related technical fields, or equivalent practical experience.
- Experience in Reinforcement Learning, GenAI, Large Language Models, etc.
- Experience in Ads, especially in auction theory and implementation (bidding, budgeting, targeting).
- Experience in User Behaviour modelling, Long-term Value optimization or Causal Learning.
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers with Meta help shape a future that goes beyond what digital connection makes possible today.
Seniority level: Not Applicable
Employment type: Full-time
Job function: Information Technology
Industries: Technology, Information and Internet
Software Specialist (TL) - AI/ML - Monetisation in London employer: Meta
Contact Detail:
Meta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Specialist (TL) - AI/ML - Monetisation in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Meta. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got projects or experiences that highlight your expertise in AI/ML, make sure to discuss them during interviews. Real-world examples can set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding machine learning concepts. Practice common interview questions and scenarios to boost your confidence.
✨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 are proactive about their job search.
We think you need these skills to ace Software Specialist (TL) - AI/ML - Monetisation in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Software Specialist role. Highlight your experience with machine learning algorithms and any relevant projects you've worked on. We want to see how your skills align with our needs!
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 at Meta. Keep it engaging and make it personal – we love to see your personality come through!
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in Python, PyTorch, or C/C++. Provide examples of how you've used these technologies in past projects. We’re looking for candidates who can hit the ground running!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes directly to us. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Meta
✨Know Your Tech Inside Out
Make sure you’re well-versed in the machine learning algorithms and infrastructure mentioned in the job description. Brush up on Python, PyTorch, and C/C++. Be ready to discuss your past projects and how you've brought research results into production.
✨Showcase Your Analytical Skills
Prepare to demonstrate your ability to manipulate and analyse complex data. Think of examples where you've used data analysis to solve technical problems. This will show that you can provide detailed feedback and solutions, which is crucial for the role.
✨Communicate Clearly
Practice explaining complex features and systems in a simple way. You’ll need to communicate effectively across functions, so think about how you can convey your ideas clearly and concisely during the interview.
✨Stay Updated on Industry Trends
Research current trends in AI/ML, especially in relation to ads and user behaviour modelling. Being able to discuss these trends will not only impress your interviewers but also show that you’re proactive and engaged with the industry.
