Job Specifications
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 team:
The AI Group at SailPoint is seeking a Senior Machine Learning Engineer to help shape the future of AI-driven identity governance. In this role, you will contribute to the design and development of SailPoint's AI Platform and leverage it to deliver innovative machine learning and generative AI solutions that power our core products. If you are passionate about creating scalable, impactful AI/ML systems and enjoy working at the intersection of cutting-edge research and product development, we would love to connect with you.
This position is Remote or Hybrid (Austin, TX).
Responsibilities
Design, build, and maintain a production-grade machine learning platform
Develop and deploy ML models using the platform
Extend platform capabilities to support Generative AI workloads
Establish repeatable patterns that ensure reliable model deployments
Collaborate with ML Engineers, Software Engineers, and Data Scientists to deliver production-ready AI features
Ensure models are deployed, monitored, and tracked with clear, actionable dashboards.
Deliver efficient, maintainable, and robust microservices to support AI features.
Partner with application teams to build secure, scalable, and SLA-compliant solutions
Build batch and streaming data pipelines to populate the feature store.
Must be willing to be part of an on-call rotation.
Requirements
Minimum of 5+ years of experience working as a Machine Learning Engineer or Data Scientist.
Experience deploying ML models into production.
A self-starter who can engage on ambiguous assignments and provide thought leadership.
Strong verbal and written communication skills, with the ability to translate complex concepts into easy-to-understand language for product and business stakeholders.
Understanding of common ML algorithms and techniques (e.g., clustering, classification, regression).
Strong command of MLOps best practices and existing frameworks.
Experience with feature stores such as Feast.
Experience implementing RESTful APIs for an API-first application architecture.
Experience building microservices and knowledge of common microservice design patterns.
Experience with Docker or other container technologies.
(Preferred) Experience with AWS, Amazon SageMaker, and Amazon Bedrock.
(Preferred) Experience building services using GenAI technology.
(Preferred) Experience with Amazon Bedrock or other services for building GenAI applications.
Roadmap To Success
First 90 Days
Get onboarded to SailPoint's AI platform architecture and tools
Contribute to the codebase: small PRs on microservices or model pipelines.
Deploy a simple ML model or change to an existing model through the platform.
Define model monitoring and observability standards for a new model.
Shadow and eventually join the on-call rotation.
6 Months
Work on deployment of an end-to-end ML use case into production.
Deliver efficient, maintainable, and robust code.
Fully participate in on-call rotation and drive process improvements.
Identify and implement improvements to the broader AI Platform.
1 Year
Collaborate with multiple teams to ship high-impact ML/GenAI features.
Help shape SailPoint's broader AI Platform strategy to drive measurable improvements in velocity and quality of model delivery.
Contribute to evaluation and adoption of new tooling to enhance our platform.
Mentor junior engineers and AI Platform users.
Benefits and Compensation listed vary based on the location of your employment and the nature of your employment with SailPoint.
As a part of the total compensation package, this role may be eligible for the SailPoint Corporate Bonus Plan or a role-specific commission, along with potential eligibility for equity participation. SailPoint maintains broad salary ranges for its roles to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect SailPoint's differing products, industries, and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. We estimate the base salary, for US-based employees, will be in this range from (min-mid-max, USD):
$119,400 - $170,500 - $221,700
Base salaries for employees based in other locations are competitive for the employee's home location.
Benefits Overview
1. Health and wellness coverage: Medical, dental, and
About the Company
SailPoint equips the modern enterprise to seamlessly manage and secure access to applications and data through the lens of identity - at speed and scale. As a category leader, we continuously reinvent identity security as the foundation of the secure enterprise. SailPoint delivers a unified, intelligent, extensible platform built to defend against today's dynamic, identity-centric cyber threats while enhancing productivity and efficiency. SailPoint helps many of the world's most complex, sophisticated enterprises create a se...
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