In Shop Ads, we personalize sellers' shops to delight our buyers' and satisfy their needs. From the products to the text and media that complement them, the layout that makes it most accessible - every decision has the buyer in mind. Our Tel-Aviv team develops machine-learning models that serve billions of buyers daily. To do so, we develop state-of-the-art recommendation and ranking systems. We work closely with domain experts to design features and embedding spaces best fitted for eCommerce. Finally, we use Meta's cutting-edge generative models to personalize the experience for our buyers. Our team also builds AI capabilities to enhance Meta's product catalogs to improve ads performance. Catalog-powered ads account for a significant portion of Meta's revenue, with unlocking deep semantic understanding of our products being a key strategic lever for revenue growth.If you're passionate about ML at scale and want to work with an amazing group of people - look no further - come and join us!
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Software Engineer, Machine Learning Responsibilities:
- Leading projects or small teams of people to help them unblock, advocating for ML excellence
- Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
- Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
- Suggest, collect and synthesize requirements and create effective feature roadmaps
- Code deliverables in tandem with the engineering team
- Experience with developing machine learning models at scale from inception to business impact
- Experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field
- Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark
- Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
- Expert knowledge developing production level ML products
- Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
- Masters degree or PhD in Computer Science or a related technical field.
- Exposure to architectural patterns of large scale software applications
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.