Software Engineer, 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 expert end-to-end understanding

Minimum Qualifications

• Experience building maintainable and testable code bases, including API design and unit testing techniques
• Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
• 2+ years of programming experience in a relevant language OR a PhD + 9 months programming experience in a relevant language
• 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

Preferred Qualifications

• 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
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Compensation

• $121,992/year - $181,000/year; Country: US; Bonus eligible; Equity eligible

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