Staff Machine Learning Engineer

🕒 March 19

🇺🇸 United States – Remote

💵 $141.3k - $238.1k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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SailPoint

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2005

🔒 Cybersecurity

🏢 Enterprise

☁️ SaaS

Cybersecurity • Enterprise • SaaS

SailPoint is a leader in identity security solutions, providing an intelligent and autonomous platform designed to meet the evolving security needs of modern enterprises. Their products, including IdentityIQ and Identity Security Cloud, offer a unified and comprehensive approach to managing and securing enterprise identities. SailPoint helps organizations mitigate cyber risks, improve IT efficiency, and maintain compliance through advanced capabilities such as cloud infrastructure entitlement management, non-employee risk management, and data access security. By integrating AI and machine learning, SailPoint enables organizations to streamline identity processes, enhance security measures, and accelerate onboarding. They serve multiple industries, including education, financial services, government, and healthcare, by offering tailored identity governance and administration solutions.

📋 Description

• Design, implement, and optimize ML models (supervised, unsupervised, and LLM-based) that power both customer-facing and internal product capabilities. • Translate AI research and experimental prototypes into scalable, maintainable production systems. • Lead technical efforts to improve model accuracy, precision/recall trade-offs, and generalization across diverse regions and customer datasets. • Build and enhance ML infrastructure and pipelines for feature extraction, model training, evaluation, deployment, and monitoring. • Drive the technical strategy for reproducibility, model versioning, data lineage, and CI/CD automation in ML systems. • Collaborate with AI platform and DevOps teams to ensure reliable data access, observability, and efficient use of compute resources. • Set technical direction and best practices for ML engineering across the AI organization, influencing architecture and design standards. • Mentor and guide engineers in scalable ML design patterns, experimentation frameworks, and software craftsmanship. • Partner with product and engineering leaders to prioritize and deliver high-impact AI capabilities aligned with business goals. • Work cross-functionally with architecture, platform, and analytics teams to ensure AI components integrate seamlessly across SailPoint’s ecosystem. • Advance model lifecycle management, AI governance, and responsible AI practices to ensure quality, fairness, and transparency. • Communicate complex ML concepts into actionable insights and recommendations for technical and non-technical audiences. • Support day-to-day team operations in partnership with TPMs and managers, ensuring alignment and delivery across initiatives.

🎯 Requirements

• 8+ years of professional experience in machine learning engineering, software development, or a related technical field. • Strong programming skills in Python and proficiency with ML frameworks such as PyTorch, TensorFlow, or scikit-learn. • Proven track record of building and deploying ML models at production scale (cloud-native environments preferred). • Deep understanding of data modeling, feature engineering, and statistical analysis. • Expertise in data pipelines, ETL, and feature engineering using frameworks like Spark, Airflow, or dbt. • Solid knowledge of MLOps practices—including model monitoring, retraining, CI/CD, and experiment tracking. • Strong foundation in software engineering best practices: testing, modularization, code review, and observability. • Excellent communication and collaboration skills, with demonstrated experience leading cross-functional technical initiatives. • Preferred Experience with LLM-based solutions, embeddings, and retrieval-augmented generation (RAG). • Familiarity with identity, security, or enterprise SaaS systems. • Experience designing AI platforms or reusable ML services that support multiple product lines. • Demonstrated ability to set technical direction, influence architectural decisions, and guide organizational strategy.

🏖️ 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