Software Engineer, Model Optimization

Meta is seeking a Software Engineer specializing in Model Optimization to join their innovative team working on AI inference infrastructure. This role represents a unique opportunity to work at the intersection of machine learning and software engineering, focusing on enhancing the efficiency and performance of AI models.

The position is based in the San Francisco Bay Area and is part of Meta's Reality Labs division, working on cutting-edge AR/VR technologies. As a Software Engineer in Model Optimization, you'll be responsible for fine-tuning and optimizing machine learning models for deployment across various devices, including phones and AR/VR hardware.

The role requires a strong background in both machine learning and software engineering, with particular emphasis on model optimization and inference runtime improvements. You'll work on critical projects to reduce latency and power consumption of AI models while building user-facing APIs for ML engineers.

Key responsibilities include optimizing inference runtime, enabling efficient GPU inference, and building tooling for model deployment. You'll collaborate with teams across Meta Reality Labs to optimize key inference workloads and improve the overall performance of machine learning systems.

The ideal candidate should have at least 3 years of experience in accelerating deep learning models for on-device inference, along with expertise in CUDA and familiarity with various inference platforms. A bachelor's degree in Computer Science or related field is required, while advanced degrees are preferred.

This position offers competitive compensation ranging from $70,670 to $208,000 annually, plus additional benefits and equity. It's an excellent opportunity for someone passionate about pushing the boundaries of AI optimization and interested in working on next-generation AR/VR technologies at one of the world's leading tech companies.

Working at Meta means being part of a team that's shaping the future of digital connection and moving beyond traditional 2D screens toward immersive experiences. You'll contribute to technologies that will transcend the constraints of physical distance and current technological limitations.