Senior Software Engineer, Machine Learning Platform

SoundHound Inc.
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Job Description

To provide the fastest and most accurate voice assistants on the market, we leverage many deep learning models. As such, we have built a GPU-based Machine Learning platform to facilitate ML training and inference. We are looking for a motivated engineer with experience in distributed systems and Machine Learning workflows to expand and manage the ML platform.

As a member of our Language Modeling team, you have an opportunity to bring many state-of-the-art NLP models to production. We look forward to connecting with you if you’re drawn to this type of work.

In this role you will:

  • Expand and manage the GPU-based Machine Learning platform
  • Develop tools to scale ML training and inference
  • Productionize ML models

We would love to hear from you if:

  • You have experience building and managing distributed systems
  • You are knowledgeable in GPU-based ML model training and inference
  • You have been writing C++ production-level code for at least the last three years
  • You are comfortable working in a Unix environment and using the applicable tools
  • You have spent considerable time working with technologies like ceph, kubernetes, and hadoop
  • You graduated with a Bachelor’s degree in Computer Science or a related quantitative discipline

We’d be especially excited if you have deployed models with Tensorflow Lite and ML toolkits like kubeflow or TFX. Also, be sure to let us know if you have scaled GPU-based ML training across multiple nodes.

Company Info.

SoundHound Inc.

SoundHound Inc. turns sound into understanding and actionable meaning. We believe in enabling humans to interact with the things around them in the same way we interact with each other: by speaking naturally to mobile phones, cars, TVs, music speakers, coffee machines, and every other part of the emerging 'connected' world. Our latest product, Hound, leverages our Speech-to-Meaning technology to showcase a ground-breaking smartphone experience

  • Industry
    Media,Information Technology
  • No. of Employees
    327
  • Location
    5400 Betsy Ross Drive, Santa Clara, CA 95054, USA
  • Website
  • Jobs Posted

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