We are a well funded startup, with the goal of fundamentally changing how Machine Learning works.

If you are excited by the prospect joining a strong team, having a huge impact, and having significant financial upside, we’d be delighted to hear from you.

We are looking for the following roles.

  • Business Development Lead

    Responsibilities

    • Understand ML needs, and current state of adoption, in key business verticals.
    • Define value proposition of our product for specific verticals and use cases.
    • Define and implement plan for customer outreach and feedback analysis.
    • Drive customer pilots, and betas leading up to license purchases.

    Qualifications

    • Bachelors or higher degree in Computer Science or related field.
    • 3+ industry experience in Business Development or related roles.
    • Experience selling AI / ML / Big Data products would be a plus.
    • Experience selling into one of our target verticals - Apps / Ads, and Health & Wellness - would be a big advantage.
  • Senior Machine Learning Engineer

    Responsibilities

    • Design and implement distributed model training techniques for commonly used model classes (for example, neural nets, logistic regression, etc.)
    • Adapt and extend modeling techniques / methodologies, and persistent storage formats of prevalent ML platforms, for distributed, concurrent training and decisioning.
    • Research and implement privacy preserving techniques for updating specific types of ML models.
    • These techniques should also conserve edge node resources such as CPU, battery and network bandwidth.

    Qualifications

    • Bachelors or higher degree in Computer Science or related field, with a focus on AI, Machine Learning, or Data Science.
    • 5+ industry experience building ML models, and / or the underlying infrastructure and frameworks of commonly used ML platforms.
    • Proficiency in Python. Additionally, C++ / Java would be a plus.
  • Senior Full Stack Engineer

    Responsibilities

    • Design and implement horizontally scalable server side systems that can concurrently serve hundreds of millions of edge devices.
    • Implement algorithms to support distributed machine learning on edge devices.
    • Develop for the cloud – using databases, APIs and abstractions available on AWS.
    • Focus on preserving the security and integrity of the network, guarding against rogue nodes, DOS attacks, and model corruption.

    Qualifications

    • Bachelors or higher degree in Computer Science or related field.
    • 5+ industry experience building scalable server side systems on a cloud platforms.
    • Experience with CI / CD methodologies that build and push to the cloud.
    • Proficiency in Python, C++ / Java, Unix.
  • Client-Side (iOS / Android / Web) Engineer

    Responsibilities

    • Design and implement algorithms to incrementally train ML models on iOS / Android / web clients.
    • Package functionality in the form of SDKs and libraries for integration into client apps.
    • Optimize the algorithms for device resources such as CPU, battery and network bandwidth, as well as library size.

    Qualifications

    • Bachelors or higher degree in Computer Science or related field.
    • 5+ industry experience building client-side products on iOS / Android / web clients.
    • Proven ability to develop efficient, compact client code.
    • Experience with tradeoffs of native versus cross-platform development a big plus.