Lead AI/ML Scientist (Cybersecurity)

TL;DR

Lead AI/ML Scientist (Cybersecurity): Creating ML/NLP models and GenAI solutions that power Data Leak Protection (DLP) and other Security products with an accent on researching and applying machine modeling techniques to solve security problems. Focus on shaping the long-term architecture of the AI Platform and providing guidance to ML and Backend engineers to take systems to production.

Location: Hybrid role based out of our Palo Alto, California, office (3 days in office)

Company

Nightfall is the AI-native, unified data loss prevention and insider risk management platform that protects sensitive data across SaaS apps, GenAI tools, email, endpoint devices, and more.

What you will do

• Work with the team to work towards clear business goals, and deliver against them.
• Creatively apply statistical and machine learning modeling techniques for solving open ended problems in the enterprise security and data leak detection space, including researching the most accurate and cost effective solutions.
• Create, train and fine-tune NLP, large language and other models for use in large scale, real-time environments.
• Work with the team to take model prototypes to production through the entire ML lifecycle phases: system architecture, data creation, training, inferencing and evaluation.
• Help shape the architecture of the AI Models and Platform to support machine learning at scale and with optimal operational cost.
• Champion a culture of data and impact driven engineering.

Requirements

• Minimum 5+ years of hands-on, technical development experience.
• 5-10 years of experience mentoring and technically leading Data Science or ML Engineering teams.
• Strong expertise in Python with an additional language such as Go, C++, Java or Rust. Knowledge of data structures and algorithms is a must.
• Grounded in Data Science and Machine Learning algorithms with demonstrated business impact (preferably in security or related domain) through application of statistical and machine learning techniques.
• Proficient in training custom transformer, large language models or other deep learning techniques to solve complex NLP problems, and designing the ML systems to host models in production.
• BS/MS/Ph.D. in Computer Science, Applied Math a or a related technical field.

Nice to have

• Experience working in high growth venture-backed startups.
• Prior experience using AI in Security: Detection of Health, Named Entity, PII data, modeling security risk, etc.
• ML training and inferencing at scale with hands-on experience with horizontal and vertical scaling, including use of GPUs.
• Experience with Conversational and Agentic systems is a Plus.
• Experience with ML frameworks such as Sagemaker, MLflow, Vertex AI, etc.
• Familiarity with AWS and managed infrastructure.

Culture & Benefits

• hirify.global takes pride in being an equal-opportunity employer.
• Value a diverse and global talent pool and the collaboration that results from having a diverse and inclusive team.
• All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
• Hiring decisions are based exclusively on merit, qualifications, and business needs.