Software Engineering, Machine Learning

Meta is seeking 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 have the opportunity to work on 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 individuals who can help us advance the way people connect globally.

If you're interested in joining a world-class team of industry professionals and working on exciting projects that have a significant impact, we encourage you to apply.

Responsibilities:

Software Engineering, Machine Learning 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 proven end-to-end understanding

Qualification and experience:

Minimum Qualifications:

6+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD

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 scripting languages such as Python, Javascript or Hack

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

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

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

Experience building and shipping high quality work and achieving high reliability

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

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred:

Preferred Qualifications:

Masters degree or PhD in Computer Science or another machine learning-related field

Exposure to architectural patterns of large scale software applications

Experience with scripting languages such as PyTorch and TensorFlow