Senior Machine Learning Engineer (REMOTE)

SailPoint

1d•Remote

About The Position

As a Sr. 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. You will lead complex, end-to-end ML initiatives—from model design and experimentation to deployment, monitoring, and continuous improvement About the team: 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.

Requirements

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 Haves

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.

Responsibilities

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.

Benefits

Health and wellness coverage: Medical, dental, and vision insurance
Disability coverage: Short-term and long-term disability
Life protection: Life insurance and Accidental Death & Dismemberment (AD&D)
Additional life coverage options: Supplemental life insurance for employees, spouses, and children
Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account
Financial security: 401(k) Savings and Investment Plan with company matching
Time off benefits: Flexible vacation policy
Holidays: 8 paid holidays annually
Sick leave
Parental support: 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