Data Science & AI/ML Tech Lead

1 Minute ago • 5 Years + • Data Analysis

Job Summary

Job Description

Nightfall AI is the unified platform that prevents data leaks and enables secure collaboration by protecting sensitive data. We are looking for an exceptional technical leader to join our growing team. 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.
Must have:
  • Drive great execution, work with the team to set clear goals, and deliver against them
  • Hands-on, Data Analysis and 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
Good to have:
  • Experience working in high growth venture-backed startups
  • Experience training and deploying NLP based machine models or fine tuning 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

Job Details

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 Traditional DLP is outdated, intrusive, and complex - it wasn't designed for today's modern enterprise where users continuously share data across interconnected SaaS applications,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 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, Data Analysis and 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 and ML Engineering teams.
  • Strong expertise in Python is a must. Go or C++ experience is a plus.
  • Strong Data Science expertise in applying application/business data to build high quality machine models for use in real-time environments using variety of Deep Learning or NLP frameworks such as Pytorch, Tensorflow, spaCy, etc.
  • Strong ML Engineering expertise with solid understanding of Tools and ML Ops frameworks such as Vertex AI, Sagemaker, etc. to automate data collection, training, inferencing, deployment and monitoring
  • A solid understanding of ML inferencing through the use of vertical, horizontal scaling and 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 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

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.

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About The Company

Nightfall AI is the leader in cloud data loss prevention (DLP) for generative AI (GenAI) tools, SaaS apps, and custom apps. Download our Chrome browser plugin or integrate via APIs to protect PII, PHI, PCI, secrets, and keys across apps like ChatGPT, Slack, GitHub, Confluence, Google Drive, and more. After just a few minutes of installation, you’ll be equipped to stay secure and compliant wherever you are in the cloud—all while streamlining your security workload through real-time alerts, automated remediation actions, and pre-built detection templates.


Join hundreds of leading companies such as Oscar Health, Splunk, Exabeam, and more that trust Nightfall to protect their most sensitive data.

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