We are looking for a Senior Machine Learning Engineer to lead model development for GenAI Security and help establish strong ML practices across SPACE. This role owns the full machine learning lifecycle: problem definition, data ETL, feature engineering, model training, model evaluation, deployment, experimentation, prediction, monitoring, debugging, and retraining.
Requirements
- 5+ years of experience building, training, evaluating, and deploying production ML or deep learning models.
- Hands-on experience with modern ML frameworks such as PyTorch, TensorFlow, or similar.
- Strong practical understanding of the full ML lifecycle: problem definition, data ETL, feature engineering, training, evaluation, deployment, monitoring, debugging, and retraining.
- Experience building data pipelines and working with large-scale datasets.
- Experience designing rigorous model evaluations, including precision/recall/F1, false positive analysis, threshold tuning, calibration, holdout sets, regression tests, and production-quality validation.
- Experience shipping production-quality software, preferably in Python and/or Go.
- Strong communication skills and ability to explain model behavior, risk tradeoffs, and technical decisions to cross-functional partners.
- BS degree in Computer Science, Machine Learning, a related technical field, or equivalent practical experience.
Benefits
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
