Facebook

Machine Learning Architect

Posted on: 6 Feb 2021

Menlo Park, CA

Job Description

Facebook Reality Labs (FRL) focuses on delivering Facebook'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. Facebook 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 transistor, through architecture, firmware, and algorithms. We are growing our ASIC Design and Architecture team within FRL and are seeking engineers at all levels who will work with a world-class group of researchers and engineers using your skills to implement and contribute to the development and optimization of low power machine learning accelerators and state-of-the-art SoCs.

Machine Learning Architect Responsibilities

* Develop software tooling/methodologies for efficient design of ML accelerators.

* Work closely with Compiler and ML Researchers to enhance machine learning acceleration capabilities.

* Assist with performance/power analysis of machine learning models.

* Work closely with System Architects to enable new ML use cases.

* Work with FPGA engineers and firmware teams to perform early prototyping.

* Algorithmic modeling of machine learning workloads.

Minimum Qualifications

* BS Electrical Engineering, Computer Science or equivalent experience.

* 8+ years experience as a Silicon Architect.

* Experience with ML models, algorithms or accelerator architecture.

* Experience in either RTL coding or performance modeling.

Preferred Qualifications

* MS in Electrical Engineering or Computer Science.

* Experience with ML, graphics or computer vision accelerator.

* Experience with TensorFlow, Pytorch or similar machine learning toolsets.

* Experience with at least one procedural programming language (C, C++, Python etc.).

* Experience in ASIC design flow (Design, Verification, Integration, Synthesis).

Locations

About the Facebook company

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. 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.

Facebook is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com.

Facebook

Menlo Park, CA

Facebook, Inc. provides various products to connect and share through mobile devices, personal computers, and other surfaces worldwide. The company’s products include Facebook that enables people to connect, share, discover, and communicate with each other on mobile devices and personal computers; Instagram, a community for sharing photos, videos, and messages; Messenger, a messaging application for people to connect with friends, family, groups, and businesses across platforms and devices; and WhatsApp, a messaging application for use by people and businesses to communicate in a private way. It also provides Oculus, a hardware, software, and developer ecosystem, which allows people to come together and connect with each other through its Oculus virtual reality products. As of December 31, 2018, it had approximately 1.52 billion daily active users. The company was founded in 2004 and is headquartered in Menlo Park, California.