SailPoint Technologies Holdings, Inc.
Staff Machine Learning Engineer (Remote)
Austin, Texas, USA · Staff+ · full-time
Sponsorship not specified$141k-$238kDetected 28 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.
- Translate AI research and experimental prototypes into scalable, maintainable production 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.
- As a senior technical leader, you'll partner closely with engineering, AI, and product teams to drive innovation, define our ML strategy, and mentor others in applying best practices for scalable, responsible AI.
- Design, implement, and optimize ML models (supervised, unsupervised, and LLM-based) that power both customer-facing and internal product capabilities.
- 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.
- Set technical direction and best practices for ML engineering across the AI organization, influencing architecture and design standards.
- 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.
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.
- 1 year: Establish SailPoint's ML engineering foundation as robust, scalable, and production-ready across multiple AI initiatives.
Nice to have
- testing, modularization, code review, and observability.
- Excellent communication and collaboration skills, with demonstrated experience leading cross-functional technical initiatives.
- Preferred 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,
Compensation
- $141,300 - $238,124.00 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.
- Gain deep understanding of SailPoint's AI vision, architecture, and active 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.
- Lead technical efforts to improve model accuracy, precision/recall trade-offs, and generalization across diverse regions and customer datasets.
- Collaborate with AI platform and DevOps teams to ensure reliable data access, observability, and efficient use of compute resources.
- Mentor and guide engineers in scalable ML design patterns, experimentation frameworks, and software craftsmanship.
- 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 7.
Equal opportunity
- equal opportunity employer and we welcome all qualified candidates to apply to join our team.
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