Meta is seeking engineers with vast systems and machine learning experience to join our Financial Integrity team.
Our mission is to drive trust and integrity for all people and businesses using Metas financial ecosystem while accelerating growth.
We are responsible of preventing fraud and financial crimes across the Meta financial eco system. We are also responsible for enabling our customers to grow their businesses successfully and safely.
The ideal candidate will have industry experience building ML enabled systems and working on a range of classification and optimization problems like payment fraud, credit estimations, click-fraud detection, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
The position involves handling global scale business transactions.
Software Engineer (Technical Leadership) - Financial Integrity Responsibilities
Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficient
Effectively communicate complex features & systems in detail
Understand industry & company-wide trends to help assess & develop new technologies
Partner & collaborate with organization leaders to help improve the level of performance of the team & organization
Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas
Suggest, collect and synthesize requirements and create an effective feature roadmap
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models
Requirements: Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Experience leading projects with industry-wide impact
Experience communicating and working across functions to drive solutions
Experience in mentoring/influencing senior engineers across organizations
Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision
Experience in driving large cross-functional/industry-wide engineering efforts
Extensive experience in programming languages (Python, C++, Java or R) with technical background
Significant experience in one or more of the following areas: machine learning, data mining, ML enabled systems or artificial intelligence
Preferred Qualifications
Experience in shipping products to millions of customers or have started a new line of product
Experience with Hadoop/HBase/Pig or MapReduce/Bigtable/Hive/Spark
.המשרה מיועדת לנשים ולגברים כאחד