Distinguished Engineer - ML/AI Engineer

Verizon; Basking Ridge (NJ); Híbrido; USD 137.000 - 263.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health and wellness benefits

401(k) matching

Paid time off

Descripción de la vacante

Verizon is seeking a senior Dist Engr-AI Engineer to lead the technical execution of a modern, agile model development process. You will work on high-impact propensity models at touchpoints of the customer lifecycle, enabling deep microsegmentation and hyper-personalization to reduce churn and optimize journeys.

You will design and deploy agentic AI/LLM solutions, mentor junior data scientists, and present insights to senior leadership.

Formación

• Bachelor's degree or 6+ years of work experience.
• Eight or more years of relevant experience in ML/AI.
• Experience working on high-priority or high-visibility technical initiatives within a corporate setting.
• Experience designing and measuring A/B tests or uplift models for targeting.
• Strong expertise in ML/DL algorithms, including transformers and NLP; experience with PyTorch and scikit-learn; probability calibration and time-based validation.
• Experience with Python, R, and SQL for advanced statistical modeling and large-scale data extraction.
• Experience with cloud platforms (GCP, AWS, or Azure) and production MLOps tools.

Responsabilidades

• Lead the design, development, and optimization of agentic AI, LLM, and machine learning solutions.
• Build, train, and deploy high-priority propensity models to predict customer behaviors and churn risk.
• Consolidate overlapping propensity models into a unified state to reduce costs.
• Manage end-to-end model development pipelines from feature engineering to production deployment and monitoring.
• Mentor junior data scientists and provide technical guidance.
• Own the lifecycle of models deployed in high-impact areas with continuous optimization.
• Present model insights and strategic recommendations to senior leadership and cross-functional partners.

Conocimientos

Propensity models

Machine learning

Deep learning

A/B testing design

Python

SQL

Educación

Bachelor's degree or 6+ years experience

Herramientas

PyTorch

scikit-learn

GCP

AWS

Azure

MLOps

Descripción del empleo

When you join Verizon

You want more out of a career. A place to share your ideas freely - even if they're daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love - driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together - lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.

What you'll be doing...

As a Dist Engr-AI Engineer within our team of propensity modelers, you will be responsible for the technical execution of Verizon's transition to a modern, agile pod model. You will work directly at the critical touchpoints of the customer lifecycle and high-impact trigger events, providing the advanced machine learning support needed to unlock deep microsegmentation and hyper-personalization. Your work will directly empower marketers, optimize customer journeys, and drive down churn across our most critical customer segments.

Responsibilities include:

• Leading the design, development, and optimization of agentic AI, LLM, and machine learning/deep learning solutions.

• Building, training, and deploying our high-priority propensity models to predict customer behaviors, churn risk, and key lifecycle triggers.

• Drive consolidation of overlapping propensity models into a shared customer state and unified models, reducing operational and development cost.

• Operating independently to manage end-to-end model development pipelines, from advanced feature engineering to production deployment and monitoring.

• Serve as a subject matter expert on agentic development, machine learning and predictive modeling, providing technical guidance and mentorship to junior data scientists.

• Owning the lifecycle of models deployed in high-impact areas, ensuring continuous optimization, accuracy, and measurable business performance.

• Presenting complex model insights, performance metrics, and strategic recommendations clearly to senior leadership and cross-functional business partners.

What we're looking for...

You are a data science professional who thrives on solving complex analytical problems with minimal guidance. You have a proven track record of managing high-priority machine learning projects, and you excel at collaborating directly with business partners to deliver data-driven customer experiences that impact the bottom line.

You will need to have:

• Bachelor's degree or six or more years of work experience.

• Eight or more years of relevant experience required, demonstrated through work experience and/or military experience.

• Experience working on high-priority or high-visibility technical initiatives within a corporate setting.

• Experience designing and measuring A/B tests or uplift models for targeting.

• Strong expertise and experience in machine learning/deep learning algorithms, including transformer, transfer learning, NLP, expertise in using Pytorch and scikit-learn packages, as well as probability calibration and time-based validation.

• Experience with Python, R, and SQL for advanced statistical modeling and large-scale data extraction.

• Experience with cloud platforms (e.g., GCP, AWS, or Azure) and production MLOps tools for tracking and maintaining model workflows.

Even better if you have one or more of the following:

• Knowledge of LLM agent architecture: Google ADK, LangChain/LangGraph, multi-agent orchestration, retrieval-augmented generation RAG , MCP, A2A protocols, ONNX-based embeddings, vector databases and semantic search.

• Knowledge of cloud-scale data engineering: Big Query pipelines, GCP (Cloud Run, Vertex AI).

Where you'll be working

In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.

Scheduled Weekly Hours

40

Equal Employment Opportunity

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.

Benefits and Compensation

• Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance.
• We also offer a matched 401(k) savings plan, up to 8 company paid holidays per year and up to 6 personal days per year, paid parental leave, adoption assistance and tuition assistance, plus other incentives, we've got you covered with our award-winning total rewards package.
• Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc.
• Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.

The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours.The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $137,000.00 - $263,000.00.