Postdoc Research Scientist, Systems ML (PhD)
Pittsburgh, PA
Individuals in this role are expected to be recognized experts in identified research areas such as computer architecture, machine learning, and edge computing, particularly including areas such as neural network (NN) accelerator modeling and design, neural network architecture search (NAS), parallel computing, and compiler design and optimization. The ideal candidate will have a keen interest in producing creative compute architecture to make authentic social presence more energy efficient while running at real-time. You will work in a dynamic cross-functional team including research scientists, silicon experts and software engineers, as well as platform design and quality evaluation experts. Strong communication and interpersonal skills are required.
This Postdoctoral position is for 24 months.Postdoc Research Scientist, Systems ML (PhD) Responsibilities
- Lead research to advance the science and technology of computer architecture and hardware-software codesign
- Lead research that enables the best hardware efficiency for deep learning models
- Design better NN quantization and hardware aware NAS algorithms
- Collaborate on research within RLR team
- Influence progress of relevant research communities by producing publications
- 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.
- Ph.D. degree in Electrical Engineering, Computer Engineering, Computer science, or equivalent
- Publications in accelerator design, machine learning, AI, NAS, NN quantization, or related technical fields
- Experience in one or more of the following areas: Deep Learning, AI Infrastructure, Machine Learning Accelerators, High Performance Computing, Machine Learning Compilers, mobile GPU Architecture, Machine Learning Frameworks, and On-Device Optimization
- Experience in theoretical and empirical research for addressing research problems
- Experience in communicating research for public audiences of peers
- Knowledge in advanced programming languages, such as C/C++ and Python
- Familiar with embedded systems and mobile platform
- Familiar with cross platform compilation and Linux application development
- Experience with frameworks like PyTorch, Caffe2, TensorFlow, ONNX, and TensorRT
- Knowledge on Image processing, computer vision, and or computer graphics
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
- Experience holding a faculty, industry, or government researcher position
- 1+ year(s) of work experience in a university, industry, or government lab(s), in a role with primary emphasis on heterogeneous computing research for AI acceleration
- First-author publications at peer-reviewed AI conferences (e.g. DAC, ISCA, MICRO, NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)
- Experience with accelerator modeling with HW/SW codesign for CV or graphics applications
- Experience in driving original scholarship in collaboration with a team
- Experience with realtime optimization for product features or real applications on edge devices
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
Tags: Architecture Computer Science Computer Vision Deep Learning Engineering GPU HPC ICLR ICML Linux Machine Learning ML infrastructure NeurIPS ONNX PhD Physics Postdoc Python PyTorch Research TensorFlow TensorRT VR
Perks/benefits: Career development Conferences Equity Flex vacation Health care Salary bonus
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