Software Engineer, Machine Learning: Meta

Meta is a technology company focused on connecting people, finding communities, and growing businesses. Initially known for Facebook, Meta's portfolio has expanded to include apps like Messenger, Instagram, and WhatsApp. The company is now actively working on building the next evolution of social technology through immersive experiences like augmented and virtual reality, with the goal of moving beyond screens and the limitations of distance.

About the Role
Meta is looking for a talented Software Engineer to join their teams in building cutting-edge products. The role involves working on complex technical problems, developing new features, and improving existing products across various platforms. The successful candidate will collaborate with a world-class team of industry veterans and work on projects with a significant global impact.

Responsibilities
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences.

Implement custom user interfaces using the latest programming techniques and technologies.

Develop reusable software components for interfacing with back-end platforms.

Analyze and optimize code for quality, efficiency, and performance.

Lead complex technical or product efforts and provide technical guidance to peers.

Architect efficient and scalable systems that drive complex applications.

Identify and resolve performance and scalability issues.

Work on a variety of coding languages and technologies.

Establish ownership of components, features, or systems with an expert end-to-end understanding.

Minimum Qualifications
A Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.

6+ years of programming experience in a relevant language OR 3+ years of experience with a Ph.D.

A track record of setting technical direction for a team, driving consensus, and fostering successful cross-functional partnerships.

Experience building maintainable and testable codebases, including API design and unit testing techniques.

Preferred Qualifications
2+ years of experience in machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field.

Experience with developing machine learning models at scale, from inception to business impact.

Knowledge of developing and debugging in C/C++ and Java.

Experience building and shipping high-quality, reliable work.

Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes.

Exposure to architectural patterns of large-scale software applications.

Experience with scripting languages such as PyTorch, TensorFlow, Python, JavaScript, or Hack.