Join SailPoint as a Senior Machine Learning Engineer and play a critical role in shaping, building, and scaling our AI-powered capabilities. You’ll work at the intersection of AI innovation, software engineering, and platform architecture, designing robust systems that deliver customer insights and intelligent automation across our identity platform.
What You'll Do
- Design, experiment with, and implement ML models to solve complex identity security challenges.
- Take ownership of research and prototyping efforts in areas like embeddings, representation learning, and similarity measurement.
- Translate AI research and prototypes into practical, effective, and production-ready systems.
- Drive improvements in model accuracy, precision/recall, and generalization for your projects.
- Implement and advocate for best practices in ML engineering, testing, and architecture.
- Communicate complex ML concepts and project updates to technical and non-technical stakeholders.
- Partner with product managers to scope and deliver high-impact AI capabilities.
- Work cross-functionally with platform and analytics teams to ensure your components integrate seamlessly into SailPoint’s ecosystem.
- Contribute to our model lifecycle management, AI governance, and responsible AI practices.
What We're Looking For
- 5+ years of professional experience in a technical field with a focus on machine learning.
- Proven experience applying modeling techniques such as anomaly detection, semantic search, embeddings, or similarity measurement to real-world applications.
- Strong programming skills in Python and proficiency with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
- Solid understanding of data modeling, feature engineering, and statistical analysis.
- Excellent communication skills and the ability to collaborate effectively in a cross-functional team.
- Strong foundation in software engineering best practices: testing, modularization, code review, and observability.
- Good knowledge of MLOps practices—including model monitoring, retraining, and CI/CD.
Nice to Have
- Experience in cybersecurity, identity, or enterprise SaaS systems.
- Expertise in at least one of our core modeling areas: NLP, Behavioral Modeling, or Graph ML.
- Experience owning the technical design and delivery of complex ML components or features.
- Hands-on experience building and deploying ML models in a cloud-native environment.
Technical Stack
- SQL, Python, Shell/Bash, Go
- AWS (SageMaker, Bedrock), Snowflake, DBT
- Kafka, Airflow, Feast
- Tableau, Qlik
- Cloudbees, Jenkins
Team & Environment
The AI team at SailPoint applies AI and domain expertise to create AI solutions that solve real problems in identity security.
Benefits & Compensation
- Compensation: $119,400 - $201,190.00 + equity: Eligible for equity participation.
- Medical, dental, and vision insurance.
- Short-term and long-term disability coverage.
- Life insurance and Accidental Death & Dismemberment (AD&D).
- Supplemental life insurance for employees, spouses, and children.
- Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account.
- 401(k) Savings and Investment Plan with company matching.
- Flexible vacation policy.
- 8 paid holidays annually.
- Sick leave.
- Paid parental leave.
- Employee Assistance Program (EAP) and Care Counselors.
- Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options.
- 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.
