Sr. Machine Learning Engineer

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.

Experience in cybersecurity, identity, or enterprise SaaS systems.

Deep expertise in one or more of the following areas: NLP, Behavioral Modeling, Time Series, Graph ML, Search, or Recommendation Systems.

Experience owning the technical design and delivery of complex ML or AI capabilities.

Experience designing or implementing AI agents, agentic workflows, or autonomous AI systems.

Hands-on experience building and deploying ML and AI applications in cloud-native environments.

Demonstrated track record of delivering measurable business impact through AI and machine learning solutions.

Build a strong understanding of SailPoint's AI vision, architecture, and current ML and AI initiatives.

Learn existing data pipelines, environments, AI platforms, and model deployment frameworks.

Establish working relationships with key partners across AI, platform, DevOps, and product teams.

Review current ML and AI systems, data flows, evaluation frameworks, and monitoring approaches.

Contribute to initial improvements, code reviews, or bug fixes to gain familiarity with production workflows.

Contribute to at least one end-to-end ML or AI initiative, supporting improvements in performance, reliability, or scalability.

Develop or evaluate an AI-powered workflow, agent, or prototype using existing platform capabilities.

Participate in model evaluation and analysis, identifying opportunities for feature, data, and architecture improvements.

Collaborate with stakeholders to identify opportunities to improve scalability, reduce technical debt, or expand AI capabilities.

Deliver a significant improvement to a core AI product's performance, scalability, reliability, or customer impact.

Contribute to the design or enhancement of reusable ML and AI platform components.

Drive improvements to model evaluation, deployment processes, monitoring, and operational reliability.

Be recognized as a key contributor and technical resource for ML and AI engineering within the team.

Deliver one or more high-impact AI solutions from concept to production.

Help establish a robust and scalable foundation for both traditional ML and agentic AI capabilities.

Contribute to AI architecture and technical roadmap discussions through successful delivery and technical expertise.

Drive adoption of emerging AI technologies, including foundation models, agents, and orchestration frameworks where they provide meaningful customer value.

Mentor and elevate peers through collaboration, technical leadership, and knowledge sharing.

Core Programming: SQL, Python, Shell/Bash, Go

Cloud Platform: AWS (SageMaker, Bedrock)

Data: Snowflake, DBT, Kafka, Airflow, Iceberg, Feast

CI/CD: Cloudbees, Jenkins

SailPoint is an equal opportunity employer and we welcome everyone to our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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-max, USD):

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 vision insurance

2. Disability coverage: Short-term and long-term disability

3. Life protection: Life insurance and Accidental Death & Dismemberment (AD&D)

4. Additional life coverage options: Supplemental life insurance for employees, spouses, and children

5. Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account

6. Financial security: 401(k) Savings and Investment Plan with company matching

7. Time off benefits: Flexible vacation policy

8. Holidays: 8 paid holidays annually

9. Sick leave

10. Parental support: Paid parental leave

11. Employee Assistance Program (EAP) and Care Counselors

12. Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options

13. Health Savings Account (HSA) with employer contribution

SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law.

Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact applicationassistance@sailpoint.com or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations. NOTE: Any unsolicited resumes sent by candidates or agencies to this email will not be considered for current openings at SailPoint.