Machine Learning Engineer

Summary

Meta’s mission is to give people the power to build community and bring the world closer together. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started. Reality Labs (RL) focuses on delivering Meta's vision through Virtual Reality (VR) and Augmented Reality (AR). The compute performance and power efficiency requirements of Virtual and Augmented Reality require custom silicon. Reality Labs Silicon team is driving the state of the art forward with breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. Our chips will enable AR & VR devices where our real and virtual world will mix and match throughout the day. We believe the only way to achieve our goals is to look at the entire stack, from transistors, through architecture, firmware, and algorithms. In this position you will work with Machine Learning Hardware Architects, Digital Designers, and Software engineers to develop custom Machine Learning Hardware accelerators for delivery into multiple SoCs. You will collaborate with a world‑class group of researchers and architects to implement and contribute to the development and optimization of low‑power machine learning accelerators and state‑of‑the‑art SoCs.

Machine Learning Hardware Architect – Silicon Responsibilities

Technical lead for ML Hardware engineers, driving design from Architecture through to Product for AR/VR optimized silicon

Lead designs to surpass state of the art for metrics such as compute, bandwidth, and power consumption

Work across disciplines, brainstorm big ideas, work in new technology areas, juggle/coordinate multiple initiatives, drive a concept into a prototype and ultimately guide the transition into a high-volume consumer product

Travel both domestically and internationally

Minimum Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

12+ years of experience as a Hardware Design Engineer or Silicon Architect for production silicon shipped in volume

Experience in Machine Learning IPs Silicon development

Experience in digital design µArchitecture, RTL coding

Experience with methods for partitioning a solution across hardware and software, evaluating trade-offs such as speed, performance, power, area

Results oriented, proactive with demonstrated creative & critical thinking

Preferred Qualifications

Master/PhD degree in EE/CS or equivalent areas

Knowledge of Physical Design and Low power implementation

Experience with Firmware, DSP coding and optimization

Collaborate and/or lead in a team environment

Experience with SoC Architecture and subsystem Integration

Knowledge of industry trends and disruptive technologies

Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, transformers, LLMs

Public Compensation

$212,000/year to $294,000/year + bonus + equity + benefits

Industry

Internet

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity and Affdirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E‑Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].

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