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.
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
- 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
- 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
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
$122,000/year to $181,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Job feed automation by YubHub
