We are looking for the following roles.
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.
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.
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.
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.
