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 Traditional DLP is outdated, intrusive, and complex - it wasn't designed for today's modern enterprise where users continuously share data across interconnected SaaS applications,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 technical leader to join our growing team at Nightfall. As a senior, hands-on, ML engineer joining the AI Engineering organization, you will drive execution, provide solid technical expertise, raise the bar of the team, and contribute towards shaping the long-term architecture of the AI platform that powers our Data Leak Protection (DLP) and other Security products.
This is a hybrid role (3 day office) based out of our South Bay area (Palo Alto) office.
Responsibilities
- Drive great execution, work with the team to set clear goals, and deliver against them
- Data Analysis, Machine Modeling, System Architecture and Coding to launch AI systems in production
- Help shape the architecture of the AI 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 3+ years of hands-on, technical development experience
- 3-10 years of experience mentoring and technically leading Data Science or ML Engineering teams.
- Strong expertise in Python is a must. Go or C++ experience is a plus.
- Grounded in Data Science and Machine Learning fundamentals with demonstrated business impact through building custom machine models.
- Comfortable with training or fine-tuning homegrown NLP models or LLMs, and the use of embeddings for semantic analysis.
- ML inferencing at scale with hands-on experience with horizontal and vertical scaling through the use of GPUs.
- BS/MS in Computer Science, Applied Math or a related technical field.
Bonus Points
- Experience working in high growth venture-backed startups
- Experience with fine-tuning LLMs, prompt and context engineering, RAG/vector databases. conversational / chatbot frameworks is a plus
- Prior experience using AI in Security domain
- Experience with end-to-end ML Ops frameworks: Sagemaker, Vertex.AI, MLflow, etc. specifically for NLP.
- Blog, teach, mentor, or help others learn outside of your day to day responsibilities
- Familiarity with AWS and managed infrastructure
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 [email protected].
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What We Do
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 [email protected].
Why Work With Us
Our team operates with flexibility, inclusivity, and empathy. We work together from across multiple time zones and regions. We value and encourage diversity and unique perspectives. We care and support each other as we work together towards our shared vision.
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