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Software Engineer - Machine Learning, New neural network algorithms

CardinalHire

Software Engineer - Machine Learning, New neural network algorithms

Austin, TX
Paid
  • Responsibilities

    There has never been a better time to indulge in the science and technology of Artificial Intelligence.

    Our client is a group of people who love what we do. Their founders have a wealth of experience working on various ground-breaking products including self-driving cars, AWS AI services, Gmail, Google Docs and flash storage systems. Backgrounds include key roles at Google, AWS, Uber, founding team of a startup that had a billion-dollar IPO, and degrees from IIT, Stanford, and Dartmouth.

    We are looking for talented backend software engineers, machine learning software engineers and research scientists to be part of the founding team. You will help build the product that applies unsupervised learning to model the world and automatically creates and manages production-grade AI systems.

    As an initial member of the founding team, you will own a significant chunk of the company, shape its culture and work on state-of-the-art science and technology.

    Responsibilities

    • Responsible for implementing various algorithms to do automated feature extraction and dataset augmentation, optimizing runtimes of neural network algorithms and building higher-level abstractions for various common AI/ML techniques.
    • Candidates will need to have a BS or MS from top-notch CS programs with industry experience. We are looking for machine learning software engineers who have experience building at least one of the following:
    • ML/AI models which are in production
    • New neural network algorithms based on research papers
    • Low-level performance optimization of deep learning systems
    • Machine learning platforms