Software Engineer - AI SysML (Technical Leadership) at Meta

Sunnyvale, California, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Apr, 26

Salary

301000.0

Posted On

18 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, AI Infrastructure, C/C++, Python, Deep Learning, High Performance Computing, GPU Architecture, Machine Learning Frameworks, On-Device Optimization, Mentoring, Cross-Functional Collaboration, Project Planning, Algorithm Development, Distributed Systems

Industry

Software Development

Description

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. 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 Minimum Qualifications 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 Preferred Qualifications Experience with distributed systems or on-device algorithm development $219,000/year to $301,000/year + bonus + equity + benefits

Responsibilities

Drive the organization’s goal towards relevant machine learning techniques to build and optimize intelligent systems. Collaborate with organizational leaders to improve team performance and project impact.