About Meta (Facebook)
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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...
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Meta offers competitive salaries, equity compensation, generous PTO policies, comprehensive health benefits, and a robust parental leave program. Empl...
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Meta fosters a culture of innovation and experimentation, encouraging employees to take risks and explore new ideas. The company emphasizes a mission-...
Ml Compiler And Performance Engineer • Mid-Level
Skills & Technologies
Overview
Meta is hiring an ML Compiler and Performance Engineer to optimize AI models for their MTIA chips. You'll work with Python and machine learning frameworks like TensorFlow and PyTorch to enhance performance. This role requires experience in AI model optimization and performance engineering.
Job Description
Who you are
You have a strong background in machine learning and performance engineering, with hands-on experience optimizing AI models for production environments. Your expertise in Python and familiarity with frameworks like TensorFlow and PyTorch enable you to effectively transition models to new hardware architectures. You understand the intricacies of multi-node compute and have a passion for improving the efficiency of AI workloads.
You thrive in collaborative environments and enjoy working closely with hardware teams to ensure seamless integration of software and hardware components. Your analytical mindset allows you to identify performance bottlenecks and implement effective solutions. You are comfortable with end-to-end responsibilities, from model training to deployment, and are eager to contribute to innovative projects.
What you'll do
In this role, you will be responsible for the performance of AI models as they transition from stock hardware to Meta's MTIA chips. You will analyze and optimize existing models, focusing on enhancing their efficiency and performance in production settings. Collaborating with cross-functional teams, you will ensure that the models leverage the full capabilities of the new hardware.
You will conduct performance benchmarking and profiling to identify areas for improvement, implementing changes that lead to significant performance gains. Your work will directly impact the efficiency of AI training and inference workloads, making a tangible difference in the capabilities of Meta's AI systems.
You will also engage in continuous learning and experimentation, staying updated with the latest advancements in AI and hardware technologies. Your contributions will help shape the future of AI at Meta, driving innovation and excellence in model performance.
What we offer
Meta provides a dynamic work environment where you can collaborate with some of the brightest minds in the industry. You will have access to cutting-edge technology and resources to support your work. The company values innovation and encourages employees to explore new ideas and approaches.
In addition to a competitive salary, Meta offers comprehensive benefits, including health insurance, retirement plans, and opportunities for professional development. You will be part of a culture that prioritizes growth, collaboration, and impact, making your work meaningful and rewarding.
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