Senior ML Platform Backend Engineer
Nightfall AI (www.nightfall.ai) is the unified platform that prevents data leaks and enables secure collaboration by protecting sensitive data and controlling how it's shared. For decades, legacy data leak prevention (DLP) solutions have failed to adequately protect sensitive information. Traditional DLP is outdated, intrusive, and complex - it wasn't designed for today's modern enterprise where users continuously share data across interconnected SaaS applications, endpoints, and now generative AI. Nightfall AI is the first AI-native DLP solution. We leverage AI to achieve twice the accuracy with a fraction of the false positives that overwhelm security teams. Nightfall does this without disrupting modern work patterns. Our AI-native platform spans sensitive data protection across SaaS, email, data exfiltration prevention on SaaS, endpoints, and data encryption. Nightfall's Developer Platform provides an open, flexible environment for developers to integrate our data classification and protection capabilities anywhere, including establishing trust boundaries for AI model building and consumption. We are looking for an exceptional engineering technical leader to join our growing team at Nightfall. As a senior, hands-on, technical engineer in the Engineering organization, you will drive execution, provide solid technical expertise, raise the engineering bar of the team, contribute towards shaping the long-term architecture of the platform and have opportunity for technical leadership. This is a hybrid role based out of our San Francisco office. Responsibilities Requirements Bonus Points 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. - Drive great execution, work with the team to set clear goals, and deliver against them - Hands-on, technical design and coding - Help shape the long-term architecture of the platform keeping scalability and reliability into account - Help to recruit, inspire a high performing and creative engineering team - Implement best of practices in a fast-paced engineering environment - Champion engineering excellence and culture, establish metrics for regular improvement - Participating in the team's oncall rotation and help drive operational excellence - Minimum 5+ years of hands-on technical development experience - Minimum 3+ years of experience mentoring and leading engineering teams - Experience programming in Python, Go, Java, C++ or related language - Experience designing and building low latency and high throughput systems based on highly scalable microservices-based architectures - A foundational understanding of multi-threaded programming, concurrency primitives, and data structures using Python, Go or other frameworks - Work with data science to deploy machine learning models at scale - BS/MS in Computer Science or a related technical field - Expertise in deploying ML models for inferencing in real-time production environments using a variety of Deep Learning frameworks such as PyTorch, TorchScript or Tensorflow, and the ability to solve complex, cross-language, performance and scalability issues associated with them - Experience working in high growth venture-backed startups - Blog, teach, mentor, or help others learn outside of your day to day responsibilities - Familiarity with AWS and managed infrastructure - Familiarity with Docker, Kubernetes, Kafka, gRPC, Redis, KV-stores
Location: San Francisco, California, United States
Salary range: None - None