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Meta · 1 hour ago

Software Engineer, Machine Learning

United States

Full-time

Remote

Mid, Senior Level

2+ years exp

Meta is seeking talented engineers to join their teams in building cutting-edge products that connect billions of people around the world. The role involves collaborating with cross-functional teams to build innovative application experiences and architecting efficient systems for complex applications.

Computer Software

Comp. & Benefits

Responsibilities

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

Implement custom user interfaces using 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 expert end-to-end understanding

Qualification

Machine LearningProgramming ExperienceAPI DesignPythonC/C++JavaData MiningTechnical DirectionCode ReviewsCross-Functional Collaboration

Required

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta

2+ years of programming experience in a relevant language OR a PhD + 9 months programming experience in a relevant language

Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships

Experience building maintainable and testable code bases, including API design and unit testing techniques

Preferred

2+ years of experience in one or more of the following areas: 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

Exposure to architectural patterns of large scale software applications

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

Proven experience to translate insights into business recommendations

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

Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts