Lead ML Engineer - Scalable AI Systems

Meta; Seattle (WA); On-site; USD 183,997 - 257,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta seeks experienced software engineers specializing in Machine Learning to join our teams in Seattle. You will tackle complex technical problems, build feature-rich experiences across mobile and web platforms, and influence product direction with mentorship and leadership across cross-functional groups.

You will work on scalable systems, optimize performance, and apply NLP/IR concepts and contemporary ML frameworks to drive impactful outcomes for billions of users.

Qualifications

• Drives change within an organization and leads complex technical projects.
• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.
• 8+ years of programming experience in a relevant language OR 4+ years with a PhD.
• Experience using data and analysis to explain technical problems and provide solutions.

Responsibilities

• Collaborate with cross-functional teams to build innovative application experiences.
• Implement custom user interfaces using latest programming techniques and technologies.
• Analyze and optimize code for quality, efficiency, and performance; provide feedback during code reviews.
• Set direction for teams; lead major initiatives; mentor peers; onboard new members.
• Architect efficient and scalable systems for complex applications.
• Identify and resolve performance and scalability issues; reduce technical debt.
• Work with multiple languages and technologies.
• Ownership of components, features, or systems with end-to-end understanding.

Skills

Leadership

Data analysis

Mentorship

Cross-functional collaboration

Education

Bachelor's degree in CS/CE or related field

Master's degree or PhD in CS or related field

Job description

Meta seeks experienced software engineers specializing in Machine Learning to join our teams in Seattle. You will tackle complex technical problems, build feature-rich experiences across mobile and web platforms, and influence product direction with mentorship and leadership across cross-functional groups.

You will work on scalable systems, optimize performance, and apply NLP/IR concepts and contemporary ML frameworks to drive impactful outcomes for billions of users.