The Data Science team at SailPoint is as the vanguard of bringing world class machine learning and artificial intelligence to the cybersecurity space. From applied DS to imagining and building engaging user experiences, we spend our days finding clever ways to use data to enhance Identity Governance. If you’re interested in Generative AI, LLMs, Recommender Systems, Graph ML, or are simply passionate about building impactful AI/ML products, we’d love to talk!

Position is Remote or Hybrid (headquarters in Austin, TX).

Responsibilities:

• Engage in the end-to-end product ML lifecycle, from ideation to training, testing, and evaluation of ML models to deployment and monitoring of models in production.
• Autonomously engage in time-sensitive R&D for complex and ambiguous problems spanning domains such as GenAI, NLP, Recommender Systems, & Graph ML.
• Develop compelling prototypes and demonstrations to communicate results to the data science team as well as product and engineering stakeholders.
• Develop approaches for continuous performance monitoring of models in production.
• Triage and root cause analysis of AI/ML issues in production.

Requirements:

• 3+ years of experience working as a Data Scientist or Machine Learning Engineer.
• Understanding of common ML algorithms and techniques for clustering, classification, regression, anomaly detection, recommender systems.
• Proven experience building ML models and deploying them to production.
• Solid applied statistics knowledge: hypothesis testing, statistical inference, sampling, etc.
• Strong analytical and problem-solving skills: a self-starter who can engage ambiguous tasks.
• Experience with common ML tools and libraries: Python, PyTorch, TensorFlow, Pandas, R.
• Experience with cloud computing workflows, preferably AWS (EMR, EC2, EKS).
• Employs software best practices: clear code, version control, code reviews, etc.
• Fantastic communication skills.

Preferred:

• B.S. in Computer Science, Mathematics, or a related field.
• M.S. or PhD in Computer Science, Mathematics, or a related field.
• Experience or interest publishing at leading AI/ML conferences such as NeurIPS, ICML, ICLR.
• Experience with AWS SageMaker or other cloud deployment technologies for ML.
• Familiarity with graphs, graph databases, graph algorithms, GNNs/GATs, etc.
• Experience with recommender systems.
• Experience with large-scale distributed computing technologies such as Apache Spark.
• Familiarity with data visualization tools (e.g., bokeh, plotly, ggplot2)

SailPoint is an equal opportunity employer and we welcome everyone to our team.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.