As an early Machine Learning Engineer at Watchtower, you’ll be applying your knowledge of machine learning to build out large scale infrastructure. Machine learning & data science models sit at the core of our product - enabling us to accurately and scalably classify sensitive information. You will be responsible for building AI systems that can perform these detection tasks and achieve unprecedented levels of performance. This requires good engineering, writing bug-free machine learning code, and formulating the science behind the algorithms employed.
Responsibilities:
- Design, implement, and improve massive-scale distributed machine learning systems.
- Develop highly scalable classifiers and tools leveraging machine learning for data classification tooling and infrastructure.
- Research machine learning techniques in building production infrastructure at scale.
- Explore and spin up new areas in data classification where we can apply machine learning to.
- Lead/contribute to engineering efforts from design to implementation.
- Ship frameworks and tools that greatly increase developer productivity.
- Design, develop, and evangelize solutions to challenges faced by the data science team to improve productivity and efficiency.
Qualifications:
- Experience architecting large scale distributed systems.
- Experience deploying & productionizing data science models.
- Comfort with linear algebra, basic statistics, and the basics of stochastic gradient descent. Experience in machine learning is a bonus. You are not expected to have mastery of deep learning.
About Watchtower:
Watchtower is a cybersecurity startup dedicated to helping enterprises secure and manage their sensitive data. As a leading enterprise technology company, our product affects the personal data that people entrust businesses to store & process with care every day. Critical data in the modern enterprise is often sprayed across a broad set of cloud systems (e.g. SaaS & data infrastructure), and it’s a herculean task for security teams to monitor, manage, and protect this highly sensitive data. Via machine learning, our product makes it easy for companies to discover, classify, and protect this sensitive data across their cloud footprint - such as their corporate SaaS, data infrastructure, and APIs. In doing so, we prevent data leakage, provide unprecedented data visibility & protection across the cloud, and enable compliance. We're a technology startup based in San Francisco and Palo Alto, well-funded by leading institutional investors with deep expertise in the cybersecurity industry. Learn more at our website
www.watchtower.ai or by reaching out via email at
careers@watchtower.ai.