At a Glance
- Tasks: Drive AI/ML projects to optimise ad quality and revenue growth.
- Company: Join Meta, a leading tech company shaping the future of advertising.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a pioneering team with endless opportunities for innovation.
- Why this job: Make a real impact in the dynamic world of ads and machine learning.
- Qualifications: Experience in AI/ML, Python, and a passion for data-driven solutions.
The predicted salary is between 48000 - 72000 £ 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 organization 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
Industry: Internet
Senior Software Specialist - AI/ML - Monetisation employer: Meta
Meta is an exceptional employer that fosters a dynamic and innovative work culture, particularly for those in the Senior AI/ML Monetisation Engineer role. Located in a vibrant tech hub, employees benefit from cutting-edge resources, ample opportunities for professional growth, and a collaborative environment that encourages creativity and experimentation in the field of machine learning and advertising technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Specialist - AI/ML - Monetisation
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Meta or similar companies. Use LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for those interviews by brushing up on your AI/ML knowledge. Dive deep into machine learning algorithms and be ready to discuss how you've applied them in real-world scenarios. Practice explaining complex concepts simply – it’s all about communication!
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, make sure to highlight your work with Python, PyTorch, or any relevant tech. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 4
Don’t just apply anywhere; focus on roles that excite you, like the Senior Software Specialist position at Meta. Apply through our website for a better chance of getting noticed – we love seeing passionate candidates!
We think you need these skills to ace Senior Software Specialist - AI/ML - Monetisation
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Software Specialist role. Highlight your experience in AI/ML, especially with Python and PyTorch, and don’t forget to mention any 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 makes you a perfect fit. Be sure to touch on your understanding of user behaviour and how it relates to ad quality.
Showcase Your Analytical Skills:Since the role is very analytical, include examples of how you've used data to solve complex problems. Whether it's through machine learning algorithms or analysing user behaviour, make sure we see your analytical prowess!
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 shows you’re keen on joining our team!
How to prepare for a job interview at Meta
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning algorithms and infrastructure, especially in Python and PyTorch. Be ready to discuss your past projects and how you've brought research into production. This will show that you not only understand the 'what' but also the 'why' behind your work.
✨Understand the Business
Familiarise yourself with Meta's Ads Quality team and its impact on revenue generation. Knowing how your role as a Senior Software Specialist fits into the bigger picture will help you articulate your value during the interview. Think about how you can contribute to optimising the trade-off between quality and revenue.
✨Prepare for Collaboration Questions
Since this role involves working closely with data scientists and other teams, be prepared to discuss your experience in cross-functional collaboration. Have examples ready that demonstrate how you've effectively communicated complex ideas and driven solutions in a team setting.
✨Show Your Analytical Side
Given the analytical nature of the role, be ready to showcase your ability to manipulate and analyse complex data. You might be asked to solve a problem on the spot, so practice explaining your thought process clearly and logically. This will highlight your analytical skills and your approach to tackling challenges.
