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-...
Machine Learning Engineer
Skills & Technologies
Overview
Meta is hiring a Machine Learning Performance Modeling Architect to support the development and optimization of machine learning workloads for custom hardware and software platforms. You'll work with technologies like computer vision and performance modeling in Sunnyvale, CA.
Job Description
Who you are
You have a strong background in machine learning and system architecture, with experience in performance modeling for custom hardware and software platforms. You thrive in collaborative, hands-on environments and are eager to contribute to analytical and simulation-based modeling and analysis. Your expertise in computer vision and mixed reality will be invaluable as you work on cutting-edge projects at Meta.
You understand the importance of compute performance and power efficiency in machine learning workloads, and you are passionate about driving state-of-the-art advancements in this field. Your ability to collaborate with cross-functional teams will help you build scalable and efficient solutions that align with Meta's vision for On-device AI.
What you'll do
In this role, you will contribute to the development and optimization of machine learning workloads, focusing on performance modeling for custom silicon. You will work closely with the Reality Labs Silicon team to analyze and model the performance of various machine learning algorithms and workloads. Your insights will help shape the design and architecture of new hardware solutions that meet the demanding requirements of On-device AI.
You will engage in cross-functional collaboration, working alongside engineers and researchers to ensure that the machine learning models you develop are optimized for performance and efficiency. Your analytical skills will be crucial as you conduct simulations and performance evaluations, providing feedback that drives continuous improvement in the design process.
You will also have the opportunity to mentor junior team members, sharing your knowledge and expertise in machine learning and performance modeling. Your contributions will directly impact the success of Meta's initiatives in mixed reality and AI, helping to create innovative solutions that enhance user experiences.
What we offer
At Meta, you will be part of a dynamic team that is pushing the boundaries of technology and innovation. We offer competitive compensation and benefits, along with opportunities for professional growth and development. You will work in a collaborative environment that values creativity and encourages you to take risks and explore new ideas. Join us in shaping the future of On-device AI and making a meaningful impact in the world of technology.
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