Applied Machine Learning Scientist developing Generative AI and predictive ML solutions at TD, a major North American bank. Supporting model evaluation, deployment, monitoring, and responsible AI governance.
About the role
- Senior ML Engineer building production ML, RAG, and agentic AI capabilities for SailPoint’s cloud identity security platform. Driving scalable, customer-focused AI solutions from research to production.
Responsibilities
- Design, develop, and deploy machine learning and AI-powered solutions for complex identity security challenges
- Own research, prototyping, and implementation across classical ML capabilities and agentic AI systems
- Evaluate and apply foundation models, agents, fine-tuning, and model evaluation frameworks
- Translate AI research and prototypes into practical, production-ready systems
- Improve model quality, accuracy, reliability, and scalability
- Implement and advocate for best practices in ML engineering, testing, observability, and architecture
- Communicate complex AI and ML concepts to technical and non-technical stakeholders
- Partner with product managers and engineering teams to scope and deliver AI capabilities
- Work cross-functionally with platform and analytics teams to integrate solutions into SailPoint's ecosystem
- Contribute to model lifecycle management, AI governance, and responsible AI practices
- Build understanding of SailPoint's AI vision, architecture, initiatives, data pipelines, platforms, and deployment frameworks
- Contribute to end-to-end ML or AI initiatives and AI-powered workflows, agents, or prototypes
- Deliver improvements to AI product performance, scalability, reliability, and customer impact
- Contribute to reusable ML and AI platform components and technical roadmap discussions
- Deliver high-impact AI solutions from concept to production
- Mentor peers and drive adoption of emerging AI technologies
Requirements
- 5+ years of professional experience in machine learning, AI, or a related technical field
- Deep machine learning expertise with experience building and deploying production ML systems
- Experience building AI-powered applications using LLMs, retrieval-augmented generation (RAG), prompt engineering, agent frameworks, or related technologies
- Proven experience applying anomaly detection, semantic search, embeddings, similarity measurement, classification, or ranking to real-world problems
- Strong programming skills in Python
- Proficiency with ML frameworks such as PyTorch, TensorFlow, or scikit-learn
- Strong understanding of data modeling, feature engineering, statistical analysis, experimentation, and model evaluation
- Proven experience building and operating ML systems in production environments
- Strong software engineering fundamentals, including testing, modularization, code reviews, observability, and operational excellence
- Knowledge of MLOps practices, including model monitoring, experiment tracking, retraining, and CI/CD
- Excellent communication and collaboration skills, with experience working across cross-functional teams
- Bachelor's degree in Computer Science or a related field, or equivalent practical experience
- Preferred: Experience in cybersecurity, identity, or enterprise SaaS systems
- Preferred: Deep expertise in NLP, Behavioral Modeling, Time Series, Graph ML, Search, or Recommendation Systems
- Preferred: Experience owning the technical design and delivery of complex ML or AI capabilities
- Preferred: Experience designing or implementing AI agents, agentic workflows, or autonomous AI systems
- Preferred: Hands-on experience building and deploying ML and AI applications in cloud-native environments
- Preferred: Demonstrated track record of delivering measurable business impact through AI and machine learning solutions
Benefits
- Medical, dental, and vision insurance
- Short-term and long-term disability coverage
- Life insurance and Accidental Death & Dismemberment (AD&D)
- Supplemental life insurance for employees, spouses, and children
- Flexible spending accounts for health care and dependent care
- Limited purpose flexible spending account
- 401(k) Savings and Investment Plan with company matching
- Flexible vacation policy
- 8 paid holidays annually
- Sick leave
- Paid parental leave
- Employee Assistance Program (EAP) and Care Counselors
- Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options
- Health Savings Account (HSA) with employer contribution
- Potential eligibility for SailPoint Corporate Bonus Plan or role-specific commission
- Potential eligibility for equity participation
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