SailPoint is looking to solve identity security problems for cloud enterprises by building and scaling AI-powered capabilities.
Requirements
- Strong programming skills in Python and proficiency with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
- Proven track record of building and deploying ML models at production scale (cloud-native environments preferred).
- Deep understanding of data modeling, feature engineering, and statistical analysis.
- Expertise in data pipelines, ETL, and feature engineering using frameworks like Spark, Airflow, or dbt.
- Solid knowledge of MLOps practices—including model monitoring, retraining, CI/CD, and experiment tracking.
- Strong foundation in software engineering best practices: testing, modularization, code review, and observability.
- Experience with LLM-based solutions, embeddings, and retrieval-augmented generation (RAG).
Responsibilities
- Design, implement, and optimize ML models (supervised, unsupervised, and LLM-based) that power both customer-facing and internal product capabilities.
- Translate AI research and experimental prototypes into scalable, maintainable production systems.
- Lead technical efforts to improve model accuracy, precision/recall trade-offs, and generalization across diverse regions and customer datasets.
- Build and enhance ML infrastructure and pipelines for feature extraction, model training, evaluation, deployment, and monitoring.
- Drive the technical strategy for reproducibility, model versioning, data lineage, and CI/CD automation in ML systems.
- Collaborate with AI platform and DevOps teams to ensure reliable data access, observability, and efficient use of compute resources.
- Set technical direction and best practices for ML engineering across the AI organization, influencing architecture and design standards.
Other
- 8+ years of professional experience in machine learning engineering, software development, or a related technical field.
- Excellent communication and collaboration skills, with demonstrated experience leading cross-functional technical initiatives.
- Ability to work cross-functionally with architecture, platform, and analytics teams to ensure AI components integrate seamlessly across SailPoint’s ecosystem.
- Support day-to-day team operations in partnership with TPMs and managers, ensuring alignment and delivery across initiatives.
- Travel requirements not specified
