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 Traditional DLP is outdated, intrusive, and complex - it wasn't designed for today's modern enterprise where users continuously share data across interconnected SaaS applications,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, Applied Data Scientist in our Data Science & Engineering organization, you will drive execution, provide solid technical expertise, raise the bar of the ML Engineering team, and contribute towards shaping the long-term model and system architecture of the platform.
This is a hybrid role (3 day office) based out of our San Francisco Bay Area office.
Responsibilities
- Drive great execution, work with the team to set clear goals, and deliver against them
- Hands-on, Data Analysis, Machine Modeling, Technical Design and Coding
- 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 5+ years of hands-on technical development experience
- Minimum 3+ 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.
- Practicing Data Scientist with demonstrated business impact through the use of cutting edge, Deep Learning or NLP models using frameworks such as Pytorch, spaCy, Tensorflow, etc.
- Strong ML Engineering expertise with solid understanding of ML Ops frameworks such as Vertex AI, Sagemaker, MLflow, etc. for managing data and model lifecycles.
- A solid understanding of ML inferencing with hands-on experience with horizontal and vertical scaling, and the use of GPUs.
- 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 fine tuning open-source 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, Docker, Kubernetes, RAG, Vector Databases
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].
Top Skills
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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