Job Information
Meta Software Engineer, Machine Learning in Tel Aviv, Israel
Summary:
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!
Required Skills:
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
Minimum Qualifications:
Minimum Qualifications:
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
Preferred Qualifications:
Preferred Qualifications:
Masters degree or PhD in Computer Science or a related technical field.
Exposure to architectural patterns of large scale software applications
Industry: Internet