Tech Stack

Description

You will own the full machine learning lifecycle from research to production, building and maintaining services that power Lookout's cybersecurity platform. You'll work on a cutting-edge product serving millions of users, contributing to architecture evolution and mentoring junior engineers.

Requirements

• BS/MS in Computer Science with 5-8 years of experience
• Proven track record of architecting and deploying high-impact ML/AI systems
• Expert proficiency in Python with strong software engineering skills
• In-depth experience with PyTorch, TensorFlow, scikit-learn
• Hands-on experience with production ML infrastructure and MLOps

Responsibilities

• Own the full machine learning lifecycle from research to production deployment and monitoring
• Establish robust frameworks to train, evaluate, and monitor ML/AI systems preventing model drift
• Address real-world scale and performance challenges ensuring model efficiency and robustness
• Set technical direction as senior IC and mentor junior engineers
• Participate in end-to-end service ownership including on-call duties