At a Glance
- Tasks: Drive technical direction and optimise ads quality using AI/ML.
- Company: Join Meta, a leader in social technology and innovation.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for growth.
- Other info: Dynamic team environment with endless opportunities for career advancement.
- Why this job: Make a real impact on ad quality and revenue with cutting-edge technology.
- Qualifications: Experience in machine learning and strong analytical skills required.
The predicted salary is between 60000 - 80000 £ per year.
Ads is the largest revenue generator at Meta and Ads Quality represents around 20% of total revenues which are used to generate long term ads and organic engagement. Core Ads Quality is a unique team jointly optimizing for both quality and revenue, aiming at making this investment more revenue/quality trade-off efficient and generate long term revenue growth through user learning. Among others, Core Ads Quality focuses on:
- Finding the right trade-off between short and long term revenues
- Standardising and optimising quality treatment of ads across surfaces and page types
- Understanding user behaviour with respect to ads quality
- Building a solid infrastructure around signals, labels and quality metrics
We work at the intersection of Ads, Machine Learning and User Behaviour understanding. The nature of our work is very analytical, with a solid collaboration with our Data Scientist and a heavy focus on not only understanding “what” but also “why”. Despite having been created a couple of years ago, the Ads Quality space at Meta is still nascent and full of unexploited opportunities. The org is further structured into the following teams/sub-pillars:
- Integrity & Efficiency: Proactively cover long-term revenue risks from advertiser friction while supporting XI with delivery expertise.
- Ads Conversion Familiarity: Accelerate Non-Purchaser (NP) -> Purchaser (P) transition by increasing familiarity of ads for users who don't interact with ads frequently.
- Post-Click Quality: Stop Purchaser (P) -> Non purchaser (NP) user conversions from bad purchase experiences.
- Modelling: Enhance quality and drive long-term revenue growth through modelling.
- Quality Science: Build the foundational end to end understanding for funnel quality signals to ensure its efficiency, health and coverage.
The team has consistently hit their goals and delivered XXXM$ in incremental long term revenue for Meta while ensuring 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. Now, 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 by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Software Specialist (TL) - AI/ML - Monetisation in City of Westminster employer: Meta
Meta is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration at the forefront of technology. As a Software Specialist in AI/ML for Monetisation, you'll have access to unparalleled growth opportunities, working alongside industry leaders to shape the future of digital connection. With a commitment to employee development and a focus on meaningful projects that drive long-term revenue growth, Meta provides a unique environment where your contributions can make a significant impact.
StudySmarter Expert Advice🤫
We think this is how you could land Software Specialist (TL) - AI/ML - Monetisation in City of Westminster
✨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
Prepare for interviews by diving deep into AI/ML topics relevant to the role. Brush up on your Python and machine learning algorithms, and be ready to discuss how you've applied them in real-world scenarios.
✨Tip Number 3
Showcase your analytical skills! Be ready to explain complex problems and your thought process behind solutions. Use examples from your past work to illustrate your points.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team!
We think you need these skills to ace Software Specialist (TL) - AI/ML - Monetisation in City of Westminster
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with machine learning and AI technologies. We want to see how your skills align with the responsibilities of the Software Specialist role, so don’t hold back on showcasing relevant projects!
Showcase Your Analytical Skills:Since the role is very analytical, it’s crucial to demonstrate your ability to work with complex data. Include examples of how you've used data analysis to solve problems or improve processes in your previous roles. We love seeing those numbers!
Communicate Clearly:When writing your application, keep it clear and concise. We appreciate straightforward communication, especially when explaining complex concepts. Make sure your passion for AI/ML shines through without getting lost in jargon.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do—just a few clicks and you’re set!
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++ as these are crucial for the role. Be ready to discuss your past projects and how they relate to the responsibilities of the Software Specialist position.
✨Understand the Business Impact
Since this role is heavily focused on monetisation and ads quality, it’s essential to grasp how your technical work can drive revenue growth. Familiarise yourself with Meta's ad strategies and be prepared to discuss how your skills can contribute to optimising ad performance and user engagement.
✨Prepare for Cross-Functional Collaboration
This position requires working closely with various teams, so think about examples from your past experiences where you successfully collaborated across functions. Highlight your communication skills and how you’ve influenced decisions in a team setting, especially in technical discussions.
✨Showcase Your Analytical Skills
Given the analytical nature of the role, be ready to demonstrate your ability to manipulate and analyse complex data. Prepare to discuss specific instances where you used data analysis to solve problems or improve processes, particularly in relation to user behaviour and ads quality.
