Software Engineer - ML Systems (Technical Leadership)

About the Role

Key Responsibilities

• Drive the organization's goal towards relevant machine learning techniques to build & optimize our intelligent systems that improve Meta's products and experiences
• Effectively communicate complex features and systems in detail while advocating for higher product quality and engineering efficiency
• Assist in goal setting related to project impact
• Develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches
• Apply in depth knowledge of how the machine learning system interacts with the other systems around it
• Understand industry and Meta wide technology trends in computing technology to help assess & develop new technologies within the ML Systems roadmap
• Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient
• Partner & collaborate with organizational leaders to help improve the level of performance of the team & organization

Requirements

• Vast experience communicating and working across functions to drive solutions
• Experience in driving large cross-functional and industry-wide engineering efforts
• Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long term vision
• Experience leading projects with industry-wide impact
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Significant experience in mentoring/influencing engineers across organizations
• Specialized experience in one or more of the following machine learning/deep learning domains: ML systems, AI infrastructure, machine learning accelerators, high performance computing, machine learning compilers, GPU architecture, machine learning frameworks, on-device optimization
• Experience developing AI algorithms or AI-System infrastructure in C/C++ or Python

Nice to Have

• Experience with distributed systems or on-device algorithm development

Qualifications

• Bachelor's degree in a relevant technical field or equivalent practical experience

Benefits & Perks

• Individual compensation is determined by skills, qualifications, experience, and location
• Base salary ranges from $213,000/year to $293,000/year
• Bonus, equity, and benefits are also offered
• Meta offers additional benefits (details available in the company information)