Meta (formerly Facebook) is seeking a Software Engineer to join their innovative team working on cutting-edge technologies. This role combines machine learning expertise with distributed systems development, offering an exciting opportunity to impact billions of users worldwide.
The position requires a Master's degree and 2 years of relevant experience, focusing on developing scalable solutions using machine learning frameworks and distributed systems. You'll work on fascinating challenges in classification, optimization, and deep learning, contributing to Meta's suite of social technology products including Facebook, Instagram, and WhatsApp.
As a Software Engineer at Meta, you'll be at the forefront of the company's evolution beyond traditional social media into immersive technologies like AR and VR. You'll develop highly scalable systems and algorithms, working with state-of-the-art deep learning techniques and massive datasets. The role offers exposure to various domains, from payment fraud detection to recommendation systems and natural language processing.
The compensation package is highly competitive, ranging from $173,000 to $200,200 annually, plus bonus and equity opportunities. Meta provides a comprehensive benefits package and promotes an inclusive work environment, supporting diversity and accommodating individual needs.
This role is perfect for someone who is passionate about machine learning, enjoys solving complex technical challenges, and wants to work with cutting-edge technology at scale. You'll be part of a team that's shaping the future of social connection and digital interaction, with the opportunity to work on projects that impact billions of users globally.
The position is based in Seattle, WA, offering the chance to work from one of Meta's main tech hubs. You'll collaborate with talented engineers and researchers, having access to Meta's vast computational resources and data infrastructure. The role provides excellent growth opportunities and the chance to work on technology that's pushing the boundaries of what's possible in social connection and virtual experiences.