We are looking for an experienced ML Platform Engineer to help build scalable production systems to improve the capacity and speed on how we develop and deploy our language models. The role requires close collaboration with Nightfall’s data & software engineers to bring more automation and scalability to our machine learning efforts.
At Nightfall, we work with big volumes of data to detect sensitive information applying the latest ML/NLP methodologies from end to end. You will directly contribute to the core product by improving existing algorithms that highly scale in our production environment. You will ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence), and review and drive the long-term technical direction of Nightfall’s products.
About Nightfall:
Nightfall is a cybersecurity startup dedicated to helping organizations 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 modern organizations is often sprayed across a broad set of cloud data silos, and it’s a herculean task for security & compliance teams to monitor, manage, and protect this highly sensitive data. Via machine learning, our product makes it easy for organizations to discover, classify, and protect this sensitive data across their cloud footprint - such as their corporate SaaS, data infrastructure, and even their own apps. In doing so, we prevent data leakage, provide unprecedented data visibility & protection across the cloud, and enable compliance. We're a technology startup founded in San Francisco, well-funded by leading institutional investors like Bain and Venrock, and a cadre of security & IT leaders from Okta, Salesforce, Atlassian, Splunk, FireEye, and more. Learn more on our website www.nightfall.ai or by reaching out via email at careers@nightfall.ai.