Staff Machine Learning Engineer
AI summary of the role
This Staff Machine Learning Engineer role at SailPoint is a senior technical leadership position focused on designing, building, and scaling production-grade ML systems for identity security.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Design, implement, and optimize ML models (supervised, unsupervised, and LLM-based) for customer-facing and internal capabilities.
- Translate AI research and prototypes into scalable, maintainable production systems.
- Build and enhance ML infrastructure and pipelines for feature extraction, training, evaluation, deployment, and monitoring.
- Drive technical strategy for reproducibility, model versioning, data lineage, and CI/CD automation in ML systems.
What you’ll bring
- 8+ years of professional experience in machine learning engineering, software development, or related field.
- 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 preferred).
- Expertise in data pipelines, ETL, and feature engineering using Spark, Airflow, or dbt.
Technologies
Python · PyTorch · TensorFlow · scikit-learn · Spark · Airflow · dbt · AWS SageMaker · AWS Bedrock · Snowflake · Kafka · Feast
About SailPoint
AI-powered identity security platform governing human, non-employee, machine, and AI-agent access across enterprise applications, data, cloud infrastructure, and hybrid deployments.
Public · 2000–5000 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
About SailPoint: SailPoint is the leader in identity security for the cloud enterprise. Our identity security solutions secure and enable thousands of companies worldwide, giving our customers unmatched visibility into the entirety of their digital workforce and ensuring that workers have the right access to do their job—no more and no less. Built on a foundation of AI and ML, our Identity Security Cloud Platform delivers the right level of access to the right identities and resources at the right time—matching the scale, velocity, and changing needs of today’s cloud-oriented, modern enterprise. About the Role As a Staff Machine Learning Engineer, you will play a critical role in shaping, building, and scaling SailPoint’s AI-powered capabilities. You’ll work at the intersection of AI innovation, software engineering, and platform architecture—designing robust, production-grade ML
More from the job description
About SailPoint: SailPoint is the leader in identity security for the cloud enterprise. Our identity security solutions secure and enable thousands of companies worldwide, giving our customers unmatched visibility into the entirety of their digital workforce and ensuring that workers have the right access to do their job—no more and no less. Built on a foundation of AI and ML, our Identity Security Cloud Platform delivers the right level of access to the right identities and resources at the right time—matching the scale, velocity, and changing needs of today’s cloud-oriented, modern enterprise. About the Role As a Staff Machine Learning Engineer, you will play a critical role in shaping, building, and scaling SailPoint’s AI-powered capabilities. You’ll work at the intersection of AI innovation, software engineering, and platform architecture—designing robust, production-grade ML systems that deliver customer insights and intelligent automation across our identity platform. As a senior technical leader, you’ll partner closely with engineering, AI, and product teams to drive innovation, define our ML strategy, and mentor others in applying best practices for scalable, responsible AI. This is both a hands-on and strategic role. You will lead complex, end-to-end ML initiatives—from model design and experimentation to deployment, monitoring, and continuous improvement—while a [... source excerpt omitted ...] The AI team at SailPoint applies AI and domain expertise to create AI solutions that solve real problems in identity security. We believe the path to success is through meaningful customer outcomes, and we leverage classical ML as well as recent innovations in Generative AI and Graph ML to bring our solutions to SailPoint’s core product lines. 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 [... source excerpt omitted ...] ndations for technical and non-technical audiences. Support day-to-day team operations in partnership with TPMs and managers, ensuring alignment and delivery across initiatives. Requirements: 8+ years of professional experience in machine learning engineering, software development, or a related technical field. 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 engineerin
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