17 часов назад
Sr. Machine Learning Engineer (AI)
124 900 - 210 512$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Machine Learning Engineer (AI): Building and scaling production-grade machine learning and agentic AI systems for identity security with an accent on classical ML, foundation models, retrieval-augmented generation, and graph ML. Focus on designing end-to-end solutions, improving model quality and reliability, and deploying observable, scalable systems across SailPoint’s cloud platform.
Location: United States
Salary: $124,900–$210,512 USD annually for US-based employees; compensation for other locations varies.
Company
provides AI-powered identity security solutions for cloud enterprises, helping organizations manage access across their digital workforce.
What you will do
- Design, develop, deploy, and scale machine learning and AI solutions for identity security challenges.
- Build classical ML capabilities such as semantic search, behavioral modeling, embeddings, anomaly detection, classification, and ranking.
- Develop agentic AI applications using foundation models, LLMs, retrieval-augmented generation, prompt engineering, and orchestration frameworks.
- Translate research and prototypes into production-ready systems while improving model quality, accuracy, reliability, and scalability.
- Implement ML engineering, testing, observability, MLOps, model lifecycle management, AI governance, and responsible AI practices.
- Partner with product, platform, analytics, DevOps, and engineering teams to deliver high-impact AI capabilities.
Requirements
- 5+ years of professional experience in machine learning, AI, or a related technical field.
- Deep expertise building and deploying production machine learning systems.
- Experience with LLMs, RAG, prompt engineering, agent frameworks, foundation models, or related technologies.
- Strong Python programming skills and proficiency with PyTorch, TensorFlow, or scikit-learn.
- Knowledge of data modeling, feature engineering, statistical analysis, experimentation, model evaluation, MLOps, monitoring, retraining, and CI/CD.
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
Nice to have
- Experience in cybersecurity, identity, or enterprise SaaS.
- Expertise in NLP, behavioral modeling, time series, graph ML, search, or recommendation systems.
- Experience designing AI agents, autonomous systems, and cloud-native ML applications.
- Experience delivering measurable business impact through AI and machine learning.
Culture & Benefits
- Work with an AI team focused on meaningful customer outcomes in identity security.
- Medical, dental, vision, disability, life, and supplemental insurance options.
- 401(k) plan with company matching, HSA employer contributions, and flexible spending accounts.
- Flexible vacation policy, paid holidays, sick leave, and paid parental leave.
- Potential eligibility for a corporate bonus or role-specific commission and equity participation.
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