Software Specialist (TL) - AI/ML - Monetisation
Meta · London, England, United Kingdom
- On site
- Full-time
- $150,000 / year
- London, England, United Kingdom
Job highlights
- Drive AI/ML strategy for Meta's core ad quality.
- Optimize ad quality for revenue and user experience.
- Analyze complex data and build production models.
- Collaborate with leaders on technical roadmaps.
- Shape future of ads and social technology.
About the role
About the Role
Ads is the largest revenue generator at Meta, and Ads Quality represents around 20% of total revenues. This critical function is used to generate long-term ads and organic engagement. The Core Ads Quality team jointly optimizes for both quality and revenue, aiming to make this investment more revenue/quality trade-off efficient and generate long-term revenue growth through user learning. Core Ads Quality focuses on understanding user behavior with respect to ad quality, standardizing ad quality treatment across surfaces, and building solid infrastructure around signals, labels, and quality metrics. This role sits at the intersection of Ads, Machine Learning, and User Behavior understanding, requiring a deep analytical approach and close collaboration with Data Scientists to understand not only 'what' but also 'why'. The Ads Quality space at Meta is nascent and presents numerous unexploited opportunities.
Team Structure
The organization is 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, delivering XXXM$ in incremental long-term revenue for Meta while ensuring high ad 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's 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 a 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.
Key skills/competency
- Software Specialist
- AI ML Monetisation
- Machine Learning
- Python
- PyTorch
- C++
- Data Analysis
- Roadmap Planning
- User Behavior
- Ads Quality
Skills & topics
- Software Specialist
- AI
- Machine Learning
- Monetisation
- Python
- PyTorch
- C++
- Data Analysis
- Roadmap Planning
- User Behavior
- Ads Quality
- Technical Lead
How to get hired
- Tailor your resume: Highlight Python, PyTorch, ML infrastructure, and production experience.
- Showcase AI/ML expertise: Detail experience with complex data and roadmap planning.
- Quantify achievements: Use data to demonstrate impact on revenue and quality.
- Prepare for technical interviews: Brush up on ML algorithms, data structures, and system design.
- Understand Meta's mission: Align your application with Meta's focus on connection and future tech.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the primary focus of the Software Specialist (TL) - AI/ML - Monetisation role at Meta?
- The primary focus of this role is to drive the technical direction and strategy for AI/ML initiatives within Meta's Core Ads Quality team, optimizing for both revenue generation and user experience. You'll work on complex problems at the intersection of ads, machine learning, and user behavior to ensure long-term revenue growth and high ad quality.
- What programming languages and frameworks are essential for this Software Specialist role at Meta?
- Essential programming languages and frameworks include Python, PyTorch, and C/C++. Experience developing machine learning algorithms or infrastructure using these tools is a minimum qualification for this position.
- Does Meta offer opportunities for career growth in AI/ML with this role?
- Yes, Meta emphasizes career growth and innovation. This role is ideal for individuals looking to shape long-term technical strategy, develop new technologies, and contribute to the evolving landscape of AI and social technology. The Ads Quality space is described as nascent with unexploited opportunities.
- What kind of data analysis experience is required for the Software Specialist position at Meta?
- The role requires experience in manipulating and analyzing complex, high-volume data from varying sources. You should be adept at using data and analysis to explain technical problems, provide feedback, and develop solutions.
- How does this role contribute to Meta's overall business objectives?
- This role is critical to Meta's largest revenue generator, Ads. By optimizing ad quality and revenue trade-offs, you directly contribute to the long-term revenue growth of the company and enhance user engagement with ads and organic content.
- What is the significance of 'Monetisation' in the Software Specialist title at Meta?
- 'Monetisation' in this title signifies that the role is directly involved in strategies and technologies that generate revenue for Meta, specifically through the optimization of the ads platform and its quality.
- What are the preferred qualifications for the Software Specialist (TL) - AI/ML - Monetisation role at Meta?
- Preferred qualifications include a PhD in AI or computer science, experience with Reinforcement Learning, GenAI, Large Language Models, and specific experience in Ads, auction theory, user behavior modeling, or long-term value optimization.