Machine Learning Scientist

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Lightmatter builds chips for artificial intelligence computing. Our architecture leverages unique properties of light to enable fast and efficient inference and training engines. If you're a collaborative engineer or scientist who has a passion for innovation, solving challenging technical problems and doing impactful work...work like building the world's first optical computers, consider joining the team at Lightmatter!


Responsibilities

  • Research and build state-of-the-art and novel machine learning algorithms that leverage our unique hardware for different semantics of data (images, video, text, audio, and other modalities).
  • Understand and analyze the interplay between machine learning software and hardware.
  • Drive the hardware-software co-design of our deep learning platform—from silicon to deep learning frameworks.
  • Develop detailed performance models and benchmarks for a large-scale photonic deep learning accelerator.

Requirements

  • PhD in computer science, physics, or mathematics required.
  • 5+ years experience in artificial intelligence, machine learning, and neural networks; preferably with strong publication records.
  • Highly proficient in machine learning and deep learning programming languages and framework, e.g. Python, C++, Tensorflow, PyTorch, Caffe, Keras.
  • Ability to manipulate and analyze complex, high-volume, high-dimensional data from different sources.
  • Solid understanding of different machine learning accelerator architectures, e.g. GPU, ASIC, and FPGA.

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan 401k
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Stock Option Plan
  • Family Leave (Maternity, Paternity)
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Location

At Lightmatter, we have a flexible work structure; employees work remotely and work from our physical offices located in Boston, MA, and Mountain View, CA

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