SailPoint Technologies Holdings, Inc.

SailPoint Technologies Holdings, Inc.

Staff Machine Learning Engineer (Remote)

United States, USA · Staff+

Sponsorship not specified$141k-$238kDetected 21 days ago
PythonBashCode ReviewSQLSnowflakeAWSCloud PlatformsCI/CDJenkinsDevOpsKafkaMachine LearningTensorFlowPyTorchSparkAirflowdbtData EngineeringData VisualizationLLMsRAGMLOpsA/B TestingResearch

About the role

  • This is both a hands-on and strategic 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.

Responsibilities

  • Design, implement, and optimize ML models (supervised, unsupervised, and LLM-based) that power both customer-facing and internal product capabilities.
  • 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.
  • Support day-to-day team operations in partnership with TPMs and managers, ensuring alignment and delivery across initiatives.
  • 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.

Requirements

  • Strong programming skills in Python and proficiency with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
  • 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.
  • Experience with LLM-based solutions, embeddings, and retrieval-augmented generation (RAG).
  • Familiarity with identity, security, or enterprise SaaS systems.
  • Demonstrated ability to set technical direction, influence architectural decisions, and guide organizational strategy.

Skills

  • SailPoint is the leader in identity security for the cloud enterprise.
  • AWS (SageMaker, Bedrock)

Compensation

  • $141,300 - $238,124.00 Base salaries for employees based in other locations are competitive for the employee's home location.
  • We estimate the base salary, for
  • Holidays: 8 paid holidays annually

Benefits

  • As a part of the total compensation package, this role may be eligible for the SailPoint Corporate Bonus Plan or a role-specific commission, along with potential eligibility for equity participation.
  • Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
  • Flexible vacation policy
  • Health Savings Account (HSA) with employer contribution
  • Parental support: Paid parental leave

Company info

  • The AI team at SailPoint applies AI and domain expertise to create AI solutions that solve real problems in identity security.
  • Translate AI research and experimental prototypes into scalable, maintainable production systems.
  • 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.
  • 401(k) Savings and Investment Plan with company matching
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