Job Information
Meta Machine Learning Hardware Research Scientist in Sunnyvale, California
Summary:
Reality Labs focuses on delivering Meta's roadmap through creating advanced AI enabled wearables. The compute performance and power efficiency requirements of wearables require custom silicon. Reality Labs Silicon team is driving the state-of-the-art forward with breakthrough work in AI, augmented reality, computer vision, machine learning, graphics, displays, and sensors. Our chips will enable wearable devices where our real and virtual world will mix and match throughout the day. We are growing our team and are seeking engineers who will work with a group of individuals using your skills to implement and contribute to the development and optimization of accelerators for emerging technologies and applications.
Required Skills:
Machine Learning Hardware Research Scientist Responsibilities:
Identify and solve multi-discipline ML acceleration problems involving algorithms, network design, hardware architecture and wearable use cases
Work across hardware and software, to solve co-design problems with other research scientists working in this area
Assist with performance/power analysis of machine learning models
Algorithmic modeling of machine learning workloads
Develop tooling and methodologies for efficient design of ML accelerators
Minimum Qualifications:
Minimum Qualifications:
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
PhD in Electrical Engineering or Computer Science or equivalent work experience
Experience in digital design, microarchitecture, or performance modelling
Experience with computer architecture, including CPU and CV/ML accelerators
Experience with Machine learning models, algorithms or accelerator architecture
Experience with at least 1 procedural programming language (C, C++, Python etc)
Preferred Qualifications:
Preferred Qualifications:
Experience in ASIC design flow (Design, Verification, Synthesis)
Experience with TensorFlow / Pytorch or similar machine learning toolsets
Familiarity with the state-of-art-ML algorithm optimizations like Neural Architecture Search, quantization, pruning etc
Public Compensation:
$122,000/year to $181,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative 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 accommodations-ext@meta.com.