Staff Machine Learning Engineer (Remote) at SailPoint

United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Identity Security, Cybersecurity, Cloud ComputingIndustries

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

Responsibilities

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

Skills

Key technologies and capabilities for this role

Machine LearningSupervised LearningUnsupervised LearningLLMGenerative AIGraph MLData PipelinesModel DeploymentModel Governance

Questions & Answers

Common questions about this position

Is this Machine Learning Engineer position remote?

Yes, this is a remote position as indicated by the job title.

What skills are required for the Staff Machine Learning Engineer role?

The role requires expertise in designing, implementing, and optimizing ML models including supervised, unsupervised, and LLM-based models, building ML infrastructure and pipelines for feature extraction, training, evaluation, deployment, and monitoring, and experience with reproducibility, model versioning, data lineage, and CI/CD automation.

What is the salary or compensation for this position?

This information is not specified in the job description.

What is the team culture like at SailPoint's AI team?

The AI team applies AI and domain expertise to create solutions that solve real problems in identity security, believes in achieving success through meaningful customer outcomes, and leverages classical ML, Generative AI, and Graph ML.

What makes a strong candidate for this Staff Machine Learning Engineer role?

Strong candidates will have senior-level experience leading end-to-end ML initiatives, partnering with engineering, AI, and product teams, setting technical direction, and mentoring engineers in scalable ML practices.

SailPoint

Provides identity security solutions for enterprises

About SailPoint

SailPoint provides identity security solutions that help organizations manage and protect digital identities. Its main products, including IdentityIQ, IdentityNow, and File Access Manager, assist businesses in ensuring compliance with regulations, reducing risks, and controlling access to sensitive information. These products work by giving organizations visibility into who has access to what data, allowing them to manage permissions effectively. SailPoint stands out from competitors by utilizing advanced technologies like artificial intelligence and machine learning to enhance its identity governance capabilities. The company's goal is to be a trusted partner for enterprises in navigating the complexities of identity security, ensuring that they can securely manage access to their critical information.

Austin, TexasHeadquarters

2004Year Founded

$20.7MTotal Funding

IPOCompany Stage

Cybersecurity, AI & Machine LearningIndustries

1,001-5,000Employees

Risks

Emerging identity management startups increase competition, potentially eroding market share.

Rapid technological changes may outpace SailPoint's innovation, risking solution obsolescence.

Integration challenges with acquisitions like SecZetta may disrupt services or misalign strategies.

Differentiation

SailPoint specializes in managing and securing digital identities for enterprises.

The company leverages AI and machine learning to enhance identity security solutions.

SailPoint's IdentityIQ provides visibility and control over user access.

Upsides

Growing demand for remote work security boosts SailPoint's remote access management features.

Rising adoption of AI-driven identity analytics aligns with SailPoint's AI capabilities.

Increased regulatory requirements drive demand for SailPoint's identity governance solutions.

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