
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...
π Benefits
Meta offers competitive salaries, equity compensation, generous PTO policies, comprehensive health benefits, and a robust parental leave program. Empl...
π Culture
Meta fosters a culture of innovation and experimentation, encouraging employees to take risks and explore new ideas. The company emphasizes a mission-...

Research Scientist
Meta (Facebook) β’ Menlo Park - On-Site
Skills & Technologies
Overview
Meta is hiring a Research Scientist in HW/SW Co-Design to explore and develop high-performance software and hardware technologies for AI at datacenter scale. You'll work on model optimization and collaborate closely with product teams. This role requires a PhD and expertise in AI and hardware systems.
Job Description
Who you are
You hold a PhD in a relevant field and have a strong background in hardware and software co-design, particularly in the context of AI technologies. Your experience includes working on high-performance systems and optimizing models for various hardware platforms, demonstrating a deep understanding of both theoretical and practical aspects of AI. You are familiar with low-precision numerical formats and algorithms, and you have a passion for pushing the boundaries of AI efficiency and performance. You thrive in collaborative environments, having worked closely with cross-functional teams in academia and industry to bring innovative ideas from ideation to production. Your research has been recognized at prestigious conferences, showcasing your ability to contribute to the advancement of the field.
What you'll do
In this role, you will explore and develop cutting-edge software and hardware technologies for AI at scale, focusing on concurrent design and optimization across compute, network, and storage systems. You will lead efforts in model optimization on existing accelerator systems and guide the future of AI hardware at Meta. Your work will involve collaborating with product teams to assist in the productization of high-leverage ideas, ensuring that learnings from prototypes are effectively integrated into production systems. You will also engage in research activities, publishing findings in top-tier conferences and journals, and contributing to the broader research community in systems and machine learning. Your contributions will have a direct impact on billions of users, enhancing the performance and efficiency of Meta's AI services.
What we offer
At Meta, you will be part of a dynamic team that values innovation and collaboration. We provide a supportive environment where your research can thrive, and you will have access to state-of-the-art resources and technologies. We encourage you to apply even if your experience doesn't match every requirement, as we believe diverse perspectives lead to better outcomes. Join us in shaping the future of AI and making a meaningful impact on the world.
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