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Research Scientist, Optimization (PhD)

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Meta

Apr 23

Applications are closed

  • Job
    Full-time
    Entry Level
  • Research & Development
    Software Engineering
  • Seattle

Requirements

  • Minimum Qualifications:
  • 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.
  • Preferred Qualifications:
  • 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

Responsibilities

  • 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.

FAQs

What is the primary objective of a research scientist in this role?

The primary objective of a research scientist in this role is to develop creative solutions that optimize computational efficiency for training and on-device inference of vision and language models for VR, AR, and mobile devices.

What types of models will the research scientist be working on optimizing?

The research scientist will be working on optimizing foundational vision and language models such as Segment Anything, Anything 3D, multi-modal LLMs, and diffusion models.

What range of optimizations can the research scientist work on?

The research scientist can work on optimizations ranging from kernel level optimizations to efficient building blocks for models, improved model architectures, and pre-training techniques.

What expertise is preferred for this position?

Strong expertise in building efficient models is preferred for this position.

Meta

Technology
Industry
10,001+
Employees
2004
Founded Year

Mission & Purpose

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.