Senior Machine Learning Engineer at SailPoint

United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Identity Security, Cloud ComputingIndustries

Requirements

Minimum of 5+ years of experience working as a Machine Learning Engineer or Data Scientist
Experience deploying ML models into production
A self-starter who can engage on ambiguous assignments and provide thought leadership
Strong verbal and written communication skills, with the ability to translate complex concepts into easy-to-understand language for product and business stakeholders
Understanding of common ML algorithms and techniques (e.g., clustering, classification, regression)
Strong command of MLOps best practices and existing frameworks
Experience with feature stores such as Feast
Experience implementing RESTful APIs for an API-first application architecture
Experience building microservices and knowledge of common microservice design patterns
Experience with Docker or other container technologies
(Preferred) Experience with AWS, Amazon SageMaker, and Amazon Bedrock
(Preferred) Experience building services using GenAI technology
(Preferred) Experience with Amazon Bedrock or other services for building GenAI applications
Must be willing to be part of an on-call rotation

Responsibilities

Design, build, and maintain a production-grade machine learning platform
Develop and deploy ML models using the platform
Extend platform capabilities to support Generative AI workloads
Establish repeatable patterns that ensure reliable model deployments
Collaborate with ML Engineers, Software Engineers, and Data Scientists to deliver production-ready AI features
Ensure models are deployed, monitored, and tracked with clear, actionable dashboards
Deliver efficient, maintainable, and robust microservices to support AI features
Partner with application teams to build secure, scalable, and SLA-compliant solutions
Build batch and streaming data pipelines to populate the feature store

Skills

Key technologies and capabilities for this role

Machine LearningGenerative AIMLOpsMicroservicesData PipelinesFeature StoreStreaming DataBatch Processing

Questions & Answers

Common questions about this position

Is this position remote or hybrid?

This position is Remote or Hybrid (Austin, TX).

What experience level is required for this role?

A minimum of 5+ years of experience working as a Machine Learning Engineer or Data Scientist is required.

What key technical skills are needed for this Senior Machine Learning Engineer role?

Required skills include experience deploying ML models into production, strong command of MLOps best practices, experience with feature stores such as Feast, building RESTful APIs and microservices, and Docker or other container technologies.

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

The AI Group at SailPoint focuses on shaping the future of AI-driven identity governance, where you will collaborate with ML Engineers, Software Engineers, and Data Scientists to deliver production-ready AI features.

What makes a strong candidate for this position?

Strong candidates are self-starters who can engage on ambiguous assignments, provide thought leadership, and have strong communication skills to translate complex concepts for stakeholders, along with production ML deployment experience.

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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