3 days ago
Base Salary
$137k - $263k/yr
Responsibilities
- Lead the design, development, and optimization of agentic AI, LLM, and machine learning/deep learning solutions.
- Build, train, and deploy propensity models that predict customer behavior, churn risk, and lifecycle triggers.
- Consolidate overlapping propensity models into shared customer-state and unified models to reduce operational and development costs.
- Manage end-to-end model development pipelines from feature engineering through production deployment and monitoring.
- Own the lifecycle of models in high-impact business areas, ensuring continuous optimization, accuracy, and measurable performance.
- Serve as a subject matter expert in agentic development, machine learning, and predictive modeling while mentoring junior data scientists.
- Present model insights, performance metrics, and strategic recommendations to senior leadership and cross-functional business partners.
Requirements
- Bachelor's degree or six or more years of work experience.
- Eight or more years of relevant experience, demonstrated through work experience and/or military experience.
- Experience with high-priority or high-visibility technical initiatives in a corporate setting.
- Experience designing and measuring A/B tests or uplift models for targeting.
- Strong expertise in machine learning and deep learning algorithms, including transformers, transfer learning, NLP, probability calibration, and time-based validation.
- Experience using PyTorch and scikit-learn.
- Experience with Python, R, and SQL for advanced statistical modeling and large-scale data extraction.
- Experience with cloud platforms such as GCP, AWS, or Azure and production MLOps tools for tracking and maintaining model workflows.
- Preferred knowledge of LLM agent architecture, including Google ADK, LangChain/LangGraph, multi-agent orchestration, RAG, MCP, A2A protocols, ONNX-based embeddings, vector databases, and semantic search.
- Preferred knowledge of cloud-scale data engineering, BigQuery pipelines, GCP Cloud Run, and Vertex AI.
Benefits
- Hybrid work arrangement with a defined work location and a minimum of three days per week in the office.
- Medical, dental, vision, short- and long-term disability, life insurance, AD&D insurance, identity theft protection, pet insurance, and group home and auto insurance.
- Matched 401(k) savings plan, up to eight company-paid holidays, up to six personal days, paid parental leave, adoption assistance, and tuition assistance.
- Up to 15 vacation days per year for newly hired employees, increasing with additional service.
- Additional incentives and potential premium pay such as overtime, shift differential, holiday pay, and allowances depending on the role.
Categories
About Verizon
Verizon builds and operates wireless networks, broadband (Fios), and enterprise connectivity, security, and IoT solutions for consumers, businesses, and public-sector customers. Its revenue comes from subscription mobile services, internet and TV access, and managed network and cloud security offerings. Founded in 2000 via the Bell Atlantic–GTE merger, the public company (NYSE: VZ) is headquartered in Basking Ridge, New Jersey, and is one of the largest mobile carriers in the United States.