Staff Machine Learning Engineer
Sailpoint Technologies
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Job Description
- Define and lead the architectural vision for core ML systems, services, and platforms used across SailPoint products.
- Design, develop, and deploy production grade ML models including behavioral and anomaly detection, semantic search and embeddings, similarity based systems, graph based models, and LLM based or hybrid solutions where appropriate.
- Translate research, experimentation, and prototypes into scalable, maintainable, and reusable production systems.
- Own end to end technical design and delivery for complex ML initiatives, from data pipelines and feature engineering through deployment, monitoring, and lifecycle management.
- Drive continuous improvements in model quality, robustness, generalization, and performance across diverse enterprise datasets.
- Set and evolve ML engineering standards spanning experimentation rigor, evaluation, deployment, observability, and governance.
- Partner with platform, data, and DevOps teams to ensure reliable data access, cost efficient compute usage, and high system availability.
- Collaborate closely with product and engineering leaders to define AI roadmaps, prioritize work, and deliver high impact customer capabilities.
- Influence architectural decisions across teams to ensure ML solutions are reusable, scalable, and aligned with long term platform strategy.
- Communicate complex ML concepts and technical decisions clearly to technical and non technical stakeholders, including senior leadership.
- Mentor engineers on ML system design, software craftsmanship, and best practices for building production AI systems.
- Act as a technical authority for the most challenging ML and AI platform problems.
- 12+ years of experience in machine learning engineering, software engineering, or a related technical field.
- Proven track record of architecting and delivering large scale, production ML systems with meaningful business impact.
- Deep hands on expertise with ML frameworks such as PyTorch, TensorFlow, or scikit learn.
- Strong foundation in data modeling, feature engineering, statistics, and experimental design.
- Extensive experience with MLOps practices, including monitoring, CI/CD, experiment tracking, and model lifecycle management.
- Excellent communication and collaboration skills, with demonstrated ability to lead and influence cross functional, senior level stakeholders.
- BS or MS in Computer Science or a related field, or equivalent professional experience.
- Experience in cybersecurity, identity, or enterprise SaaS systems.
- Deep expertise and a strong track record in at least one of our core modeling areas: NLP, Behavioral Modeling, Time Series or Graph ML.
- Proven track record of building and deploying ML models at production scale (cloud-native environments preferred).
- Demonstrated ability to set technical direction, influence architectural decisions, and guide organizational strategy.
- Experience designing reusable AI platforms or ML services that support multiple product lines.
- Core Programming: SQL, Python, Shell/Bash, Java or Rust
- Cloud Platform: AWS (SageMaker, Bedrock)
- Data: Snowflake, DBT, Kafka, Airflow, Feast
- CI/CD: Cloudbees, Jenkins
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
About The Company
Sailpoint Technologies
SailPoint is a leading provider of identity security for the modern enterprise. Enterprise security starts and ends with identities and their access, yet the ability to manage and secure identities today has moved well beyond human capacity. Using a foundation of artificial intelligence and machine learning, the SailPoint Identity Security Platform delivers the right level of access to the right identities and resources at the right time—matching the scale, velocity, and environmental needs of today’s cloud-oriented enterprise. Our intelligent, autonomous, and integrated solutions put identity security at the core of digital business operations, enabling even the most complex organizations across the globe to build a security foundation capable of defending against today’s most pressing threats.
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