Sr. ML Scientist/Engineer, AI Platform

The role

You will build and ship AI systems that power security products. You will work with Python and Go to research NLP models, build MLOps ecosystems, and develop microservices for data processing at scale.

What you will do

• Build and ship a wide variety of AI systems that power Nightfall's Security products.
• Work hands-on with Python frameworks to analyze data and experiment with NLP or existing model architectures.
• Perform complex Data analysis, Research ML Models and Eval techniques.
• Help with building the MLOps ecosystem for automating training, deployment, and real-time evaluations.
• Work hands-on with Python and Go services to build microservices.
• Collaborate across engineering and product to turn ideas into live AI features.
• Participate in the team's oncall rotation.

Required qualifications

• 7+ years of industry experience with a graduate degree in Computer Science or Engineering with rigorous coursework in Artificial Intelligence, Machine Learning, Data Science or related field.
• Code fluently in Python, and Go (or Rust, C++ or Java) with a solid understanding of Data Structures and Algorithms.
• Hands-on experience with building Deep learning models and taking them to production at large scale, including complex software engineering in delivering end-to-end AI projects.
• Hands-on experience in using Reinforcement Learning (RL) in the context of LLMs and Agents.

Nice to have

• Hands-on experience with building models in Pytorch or other frameworks to solve complex problems in NLP or other domains, including fine-tuning LLMs, or building agentic workflows around them
• Familiarity with AWS, GCP and experience with systems such as Kafka, Redis, Postgres, etc.
• Hands-on experience with MLOps for training, inferencing, evaluation, monitoring and deployment
• Hackathon wins, research papers, or open-source contributions.

About the 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.