SailPoint

identity security

PrincipalMachineLearningEngineer

$184–310k Austin, Texas, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Principal Machine Learning Engineer at SailPoint. Skills: Machine Learning Engineering, ML Systems, Production ML. Define architectural vision for ML systems. Design, develop, deploy ML models”

What You'll Achieve.

meaningful customer outcomes; deliver high-impact customer capabilities; Deliver significant, measurable impact on the performance, scalability, or capabilities of a core identity product; delivering transformative value to our customers

Industry & Context.

identity security
Problems you'll solve

solve real problems in identity security; technical challenges; complex ML initiatives; most challenging ML and AI platform problems

Eligibility Requirements

DOES REQUIRE AN IN PERSON INTERVIEW

What They're Looking For.

Must Have

12+ years of experience in machine learning engineering, software engineering, architecting and delivering large-scale, production ML systems, ML frameworks such as PyTorch, TensorFlow, scikit-learn, data modeling, feature engineering, statistics, experimental design, MLOps practices, monitoring, CI/CD, experiment tracking, model lifecycle management, communication and collaboration skills, lead and influence cross-functional, senior-level stakeholders, BS or MS in Computer Science or a related field, equivalent professional experience

Nice to Have

Experience in cybersecurity, identity, enterprise SaaS systems, Deep expertise and a track record in at least one of our core modeling areas: NLP, Behavioral Modeling, Time Series or Graph ML, building and deploying ML models at production scale (cloud-native environments preferred), set technical direction, influence architectural decisions, guide organizational strategy, designing reusable AI platforms or ML services

What You'll Do.

Define architectural vision for ML systems

Translate research into production systems

Own end-to-end technical design

Drive continuous improvements in model quality

Set ML engineering standards

Partner with platform teams

Collaborate with product leaders

Influence architectural decisions

Communicate complex ML concepts

Act as technical authority

How You'll Work.

Team & Collaboration

partnering closely with product, platform, and engineering leaders; influence cross-team architecture; partner with platform, data, and DevOps teams; Collaborate closely with product and engineering leaders; Influence architectural decisions across teams; Communicate complex ML concepts and technical decisions clearly to technical and non-technical stakeholders; Mentor engineers on ML system design; build key relationships with stakeholders across engineering, AI, and product; architectural reviews and strategic discussions

Communication Scope

Excellent communication and collaboration skills; demonstrated ability to lead and influence cross-functional, senior-level stakeholders; Communicate complex ML concepts and technical decisions clearly to technical and non-technical stakeholders, including senior leadership

Process & Methodology

lead the most complex ML initiatives, prioritize work, deliver high-impact customer capabilities, Define and champion the architectural vision and roadmap, Lead the design and initial implementation

Full Job Description

_***THIS IS A REMOTE ROLE BUT DOES REQUIRE AN IN PERSON INTERVIEW**_ **About SailPoint:** SailPoint is the leader in identity security for the cloud enterprise. Our identity security solutions secure and enable thousands of companies worldwide, giving our customers unmatched visibility into the entirety of their digital workforce and ensuring that workers have the right access to do their job—no more and no less. Built on a foundation of AI and ML, our Identity Security Cloud Platform delivers the right level of access to the right identities and resources at the right time—matching the scale, velocity, and changing needs of today's cloud-oriented, modern enterprise. **About the Role:** As a **Principal Machine Learning Engineer** on the Core AI / ML team, you will be a senior technical leader responsible for shaping, scaling, and operationalizing ML capabilities that power SailPoint’s product offerings. This is a hands‑on, end‑to‑end technical leadership rol**e**. You will design and build foundational ML systems and models, influence cross‑team architecture, and set engineering standards that are adopted across multiple product lines. You will work at the intersection of modeling, ML infrastructure, and production systems, partnering closely with product, platform, and engineering leaders. You are expected to operate at **organization scale** : leading the most complex ML initiatives, mentoring engineers, and driving long‑term technical strategy while still contributing directly to critical designs and implementations. **About the team:** The AI team at SailPoint applies AI and domain expertise to create solutions that solve real problems in identity security. We believe the path to success is through meaningful customer outcomes, and we leverage classical ML, Graph ML, and recent innovations in Generative AI to bring our solutions to SailPoint’s core product lines. **Responsibilities:** * Define and lead the architectural vision for core ML systems, services, and

Free ATS check

Applying for this Principal Machine Learning Engineer role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Workday

  • Workday has a multi-step form — save your progress after every section.
  • "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
  • Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
  • Job requisition numbers are useful when following up with HR by email.

ANONYMOUS · UNFILTERED

What do employees actually say about SailPoint?

Real rants from real employees. Read before you apply.

Read Company Rants →