Software Engineer, Machine Learning (Tel Aviv)

The FI Advertiser Risk team is part of the Meta FinTech (MFT) engineering teams dealing with Risk, Compliance and Care (AKA Financial Integrity). The team is a part of the Risk pillar which leads risk mitigation throughout the customer and business journey.The team's focus is the Ads Fraud Risk domain, and its goal is to mitigate fraud and reduce friction for advertisers. We work on boosting our fraud detection with additional policies, algorithms and ML solutions and improving detection of scaled fraud attacks.We are building our next generation Fraud detection system as part of FI's Risk-as-a-Service effort.Our Tech:We are using a variety of ML and stats models and algorithms, from classic supervised learning, to anomaly detection, unsupervised learning and semi supervised learning, to detect and mitigate ongoing fraud campaigns.In our solutions we are using Graph Neural Networks, Ensembles, Boosting, Regression models, Time Series data, Causal Inference and more.

Software Engineer, Machine Learning (Tel Aviv) Responsibilities:

• Leading projects or small teams of people to help them unblock, advocating for ML excellence.
• Develop highly scalable classifiers and tools leveraging machine learning, data, and rules based models
• Suggest, collect and synthesize requirements and create effective feature roadmaps
• Code deliverables in tandem with the engineering team
  
  

Minimum Qualifications:

• Experience with developing machine learning models at scale from inception to business impact
• Experience of ML for Fraud detection and/or solving other integrity problems
• Experience in software engineering or a relevant field. 3+ years of experience if you have a PhD
• Experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field.
• Knowledge developing and debugging
• Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  
  

Preferred Qualifications:

• Masters degree or PhD in Computer Science or a related technical field
• Exposure to architectural patterns of large scale software applications
• Python and PHP/Hack experience
  
  

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.