Software Engineer (Leadership) - Machine Learning

Meta is seeking Ads Engineers to join our engineering team. This role requires industry experience working on a range of AI and optimization problems in ads or related products. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer (Leadership) - Machine Learning Responsibilities:Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficientEffectively communicate complex features & systems in detailUnderstand industry & company-wide trends to help assess & develop new technologiesPartner & collaborate with organization leaders to help improve the technical quality and delivery velocity of the team and organizationIdentify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideasSuggest, collect and synthesize requirements and create an effective feature roadmapDevelop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based modelsAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experienceExperience leading projects with industry-wide impactExperience communicating and working across functions to drive solutionsExperience in mentoring/influencing engineers across organizationsProven track record of planning multi-year roadmap in which short-term projects ladder to the long-term visionExperience in driving large cross-functional/industry-wide engineering effortsSignificant experience in programming languages (Python, C++, or Java) with technical backgroundSignificant experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or deep learning based methodsPreferred Qualifications:Experience in shipping products to millions of customers or have started a new line of productAbout 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.Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.