Senior ML Platform Backend Engineer

Nightfall AI () is the unified platform that prevents data leaks and enables secure collaboration by protecting sensitive data and controlling how its shared. For decades legacy data leak prevention (DLP) solutions have failed to adequately protect sensitive information. Traditional DLP is outdated intrusive and complex - it wasnt designed for todays modern enterprise where users continuously share data across interconnected SaaS applications endpoints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. Nightfalls 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 and contribute towards shaping the long-term architecture of the platform.

This is a hybrid role based out of our San Francisco office.

Responsibilities

• Drive great execution work with the team to set clear goals and deliver against them
• Hands-on technical design and coding
• Help shape the architecture of the AI Detection platform to enable the use of cutting edge ML technologies while ensuring it is scalable and reliable
• Implement best of practices in a fast-paced engineering environment and champion a culture of engineering excellence and productivity
  
  

Requirements

• 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
• Expertise in building machine models for real-time production environments using a variety of Deep Learning frameworks such as PyTorch TorchScript Tensorflow spaCy etc.
• Experience with machine model inferencing for use in low latency and high throughput microservice environments
• Experience with ML Ops frameworks such as Vertex AI Sagemaker etc. to automate data collection training deployment and monitoring
• A foundational understanding of horizontal and vertical scaling concurrency primitives and data structures using Python Go or other frameworks
• BS/MS in Computer Science or a related technical field

Bonus Points

• Experience working in high growth venture-backed startups
• Experience training and deploying NLP based machine models or LLMs is a big plus.
• 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

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 its 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. Were 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 or by reaching out via email at