Research Scientist, Optimization (PhD)
Seattle, WA | Burlingame, CA
- Develop model optimization algorithms and infrastructure to enable deployment of models in resource-constrained settings, such as mobile phones and AR/VR and MR devices.
- Optimize models on hardware to achieve the best performance given various real time latency and power constraints.
- Develop novel techniques to improve training efficiency and data efficiency.
- Lead and contribute to cutting-edge research that results in industry-leading tech demos and/or publications.
- Collaborate with cross-disciplinary research and engineering teams.
- Currently has, or is in the process of obtaining, a PhD degree in Machine Learning (ML) Systems, Natural Language Processing (NLP), Machine Learning, Artificial Intelligence, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
- 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.
- Hands-on experience in deep learning algorithms and techniques, e.g., transformers, convolutional neural networks, quantization and/or related areas.
- 3+ years experience with deep learning software libraries such as PyTorch or TensorFlow.
- Demonstrated software engineering experience within a complex codebase via an internship, work experience, coding competitions, or widely used contributions to open source repositories such as GitHub.
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
- Contribution (as the first author) to publications on machine learning at leading workshops or conferences such as ICLR, NeurIPS, ACL, EMNLP, ICML, MLSys, KDD, OSDI etc.
- Experience, including PhD research, in related fields of improving the training and inference efficiency, data efficient learning, domain adaptation and semi-supervised learning.
- Experience, including PhD research, in kernel development for both GPU and mobile devices.
- Experience, including PhD research, in in related fields of efficient deep learning, training acceleration, quantization, model/accelerator co-design, and co-optimization.
- Interpersonal experience: cross-group and cross-culture collaboration
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 Deep Learning Diffusion models EMNLP Engineering GitHub GPU ICLR ICML LLMs Machine Learning Model inference NeurIPS NLP Open Source PhD Physics PyTorch Research TensorFlow Transformers VR
Perks/benefits: Career development Conferences Equity Flex vacation Health care Salary bonus
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