Software Engineer - ML Systems (Technical Leadership)

Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will have industry experience working on AI Infrastructure related topics.

The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations.

Software Engineer - ML Systems (Technical Leadership) 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, AI system design, and ML excellence

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

Minimum Qualifications

• Vast experience communicating and working across functions to drive solutions

Experience in driving large cross-functional/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 senior 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

Preferred Qualifications

• Experience with distributed systems or on-device algorithm development

Locations

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect.

Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.

$213,000/year to $293,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable.

In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.