About Meta (Facebook)
Connecting people through innovative technology
Key Highlights
- Over 2.9 billion monthly active users across platforms
- Headquartered in Menlo Park, California
- Valued at over $800 billion
- Significant investments in Oculus and AR/VR technology
Meta (formerly Facebook) is a leading technology company focused on building the metaverse, with over 2.9 billion monthly active users across its platforms, including Facebook, Instagram, and WhatsApp. Headquartered in Menlo Park, California, Meta has invested heavily in virtual reality and augmente...
🎁 Benefits
Meta offers competitive salaries, equity compensation, generous PTO policies, comprehensive health benefits, and a robust parental leave program. Empl...
🌟 Culture
Meta fosters a culture of innovation and experimentation, encouraging employees to take risks and explore new ideas. The company emphasizes a mission-...
Ai Engineer
Skills & Technologies
Overview
Meta is hiring an AI Engineer to tackle scaling challenges in AI Training and Inference Infrastructure. You'll work with technologies like Python and TensorFlow to enhance network performance. This role requires a PhD and expertise in high-performance computing.
Job Description
Who you are
You hold a PhD in a relevant field and have a strong background in AI and high-performance computing. Your experience includes building and optimizing network infrastructures that support advanced AI workloads, ensuring they meet stringent performance and availability requirements. You are familiar with RDMA workloads and understand the intricacies of loss-less fabric interconnects. Your technical skills include proficiency in Python and Linux, and you have hands-on experience with TensorFlow and Kubernetes.
You thrive in environments that require constant innovation and improvement. You are adept at identifying opportunities across the technology stack, from network fabric to host networking, and you have a keen eye for performance optimization. Your collaborative spirit allows you to work effectively with cross-functional teams, driving projects that enhance system performance.
What you'll do
In this role, you will be responsible for evolving Meta's network infrastructure to support a growing number of AI use cases. You will work closely with engineers to build and maintain a robust network that connects various training accelerators, such as GPUs. Your focus will be on ensuring that the network operates smoothly and meets the demanding performance requirements of AI workloads.
You will analyze system performance and identify areas for improvement, implementing solutions that enhance the efficiency of the network. Your role will involve collaborating with other teams to ensure that the infrastructure supports the needs of AI training and inference effectively. You will also be expected to stay updated on the latest advancements in AI and HPC technologies, integrating new solutions into the existing infrastructure.
What we offer
At Meta, you will be part of a dynamic team that is at the forefront of AI technology. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will have the chance to work on cutting-edge projects that have a significant impact on the future of AI. Our culture encourages innovation and collaboration, and we value diverse perspectives in our teams.
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