Research Intern - Machine Learning Acceleration (PhD)

Join Our Innovative Team at Meta: Research Intern - Machine Learning Acceleration (PhD) Role Available

About Meta’s Reality Labs (RL)

At Reality Labs (RL), a visionary division of Meta, we are dedicated to transforming the way people interact with technology. Through groundbreaking advancements in Augmented Reality (AR) and Virtual Reality (VR), we are pioneering a future where the digital and physical worlds seamlessly intertwine. Our Meta Silicon team leverages custom silicon to enhance compute performance and power efficiency, setting new benchmarks in computer vision, machine learning, mixed reality, and more.

Role Summary

As a Research Intern focusing on Machine Learning Acceleration, you will significantly impact the efficiency of hardware acceleration for ML algorithms focused on computer vision and image processing within AR and VR devices. This role provides the opportunity to collaborate across diverse teams to optimize production systems and shape future technological advancements.

Key Responsibilities

• Collaborate with computer architects and engineers to map and optimize ML workloads across various platforms.
• Engage in software and hardware co-design to enhance performance and energy efficiency.
• Develop high-performance C/C++ kernels and adapt domain-specific compilers.
• Stay ahead with state-of-the-art (SOTA) research and integrate cutting-edge techniques into our products.
• Analyze hardware performance, identifying and addressing bottlenecks in both real and simulated environments.

Minimum Qualifications

• Advanced degree pursuit in Computer Science, Electrical Engineering, or related field.
• Experience in Python or similar scripting languages and familiarity with ML frameworks such as PyTorch or TensorFlow.
• Proven software design and programming expertise in C/C++.
• Robust understanding of computer architecture and its impact on performance.
• Ability to legally work in the location of employment without sponsorship.

Preferred Qualifications

• Hands-on experience with hardware accelerators like GPUs, CPUs, DSPs, or custom ASICs.
• Deep knowledge of machine learning and computer vision algorithms, including optimizations and deep learning compilers.
• Proficiency in code profiling and debugging, particularly in ML contexts.
• Willingness to engage in collaborative and cross-cultural team environments.

Location & Compensation

Meta offers a competitive salary ranging from $7,500/month to $11,333/month, dependent on qualifications and location, plus additional benefits. Roles are available at various global Meta sites, providing valuable exposure to cutting-edge technologies and practices.

Commitment to Diversity

Meta is committed to providing an inclusive environment where diverse talents can thrive. We offer accommodations throughout our recruitment process for individuals with disabilities or other needs to ensure fair opportunities for all.

Embark on a transformative career journey with Meta’s Reality Labs (RL). Apply today to contribute to the next revolution in digital connectivity through AR and VR innovations. For accommodations related to disabilities or other needs, reach out to [email protected].

Accelerate your career in Machine Learning—apply now for the Research Internship at Meta Reality Labs!