SailPoint Technologies Holdings, Inc.
Senior Machine Learning Engineer (REMOTE)
Austin, Texas, USA · Senior · full-time
Sponsorship not specified$119k-$201kDetected 28 days ago
PythonBashCode ReviewSQLSnowflakeAWSCloud PlatformsCI/CDJenkinsDevOpsKafkaMachine LearningTensorFlowPyTorchAirflowdbtData EngineeringData VisualizationNLPLLMsMLOpsA/B TestingCybersecurityResearch
About the role
- 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.
- 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.
Responsibilities
- 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.
- Design, experiment with, and implement ML models to solve complex identity security challenges.
- Drive improvements in model accuracy, precision/recall, and generalization for your projects.
- Implement and advocate for best practices in ML engineering, testing, and architecture.
- Partner with product managers to scope and deliver high-impact AI capabilities.
Requirements
- 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.
- Expertise in at least one of our core modeling areas: NLP, Behavioral Modeling, or Graph ML.
- 1 year: Help establish a robust, scalable ML foundation across multiple AI initiatives.
Nice to have
- testing, modularization, code review, and observability.
- Good knowledge of MLOps practices-including model monitoring, retraining, and CI/CD.
- Preferred Experience in cybersecurity, identity, or enterprise SaaS systems.
Skills
- SailPoint is the leader in identity security for the cloud enterprise.
- NLP, Behavioral Modeling, or Graph ML.
- AWS (SageMaker,
Compensation
- $119,400 - $201,190.00 Base salaries for employees based in other locations are competitive for the employee's home location.
- Holidays: 8 paid holidays annually 9.
Benefits
- Flexible vacation policy 8.
- Sick leave 10.
- Parental support: Paid parental leave 11.
- Health Savings Account (HSA) with employer contribution SailPoint is an
- Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability.
- Build a strong understanding of SailPoint's AI vision, architecture, and current ML initiatives.
Company info
- The AI team at SailPoint applies AI and domain expertise to create AI solutions that solve real problems in identity security.
- Communicate complex ML concepts and project updates to technical and non-technical stakeholders.
- 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.
- 401(k) Savings and Investment Plan with company matching 7.
Equal opportunity
- equal opportunity employer and we welcome all qualified candidates to apply to join our team.
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