Software Engineer (Technical Leadership)
Description
Meta is seeking principal engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will oversee complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in leading a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
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 and 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 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
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 engineers across organizations Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term mission Experience in driving large cross-functional/industry-wide engineering efforts 12+ years of experience in programming languages (Python, C++, or Java) with technical background 8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or deep learning based methods Experience in shipping products to millions of customers or have started a new line of product Expertise in Recommender Systems, Ranking, Relevance, Personalization or adjacent fields of ML Experience applying ML Models in a revenue (Ads or E-Commerce) or user facing product environment at scale (Matching or Demand Supply) Experience with relevant algorithms such as Learning to Rank, Gradient Boosting Machines, Random Forests, Deep Learning and similar algorithms Grasp of data structures and algorithms, including graph theory and optimization techniques