Verizon
Verizon
Verizon ir nozīmīgs ASV telekomunikāciju uzņēmums, kas apkalpo patērētājus un uzņēmumus, nodrošinot bezvadu sakarus, platjoslas internetu, mobilos sakarus, mājas internetu un uzņēmumu tīklu pakalpojumus. Tā plašā darbība aptver patērētāju savienojamību, biznesa tīklus, 5G tehnoloģiju un tīkla infrastruktūru, bet karjeras iespējas ir pieejamas tehnoloģiju, inženierijas, mazumtirdzniecības un finanšu jomā. Verizon darbā pieņemšanas kontekstā uzmanība tiek pievērsta arī darbinieku attīstībai un korporatīvajai atbildībai, uzņēmumam cenšoties savienot cilvēkus un organizācijas ar pakalpojumiem, uz kuriem tie paļaujas.

Senior Distinguished Engineer, Machine Learning and AI

Lead agentic AI, large language model, and propensity modeling work for Verizon’s telecom customers. Improve personalization and customer retention through production machine learning operations.

Apraksts

  • Lead development and refinement of agentic AI, LLM, and machine learning and deep learning solutions.
  • Build, train, and deploy propensity models that forecast customer behavior, churn risk, and lifecycle events.
  • Unify overlapping propensity models around a shared view of customer state.
  • Run model pipelines from advanced feature engineering through deployment and production monitoring.
  • Advise as a subject matter expert in agentic development, machine learning, and predictive modeling.
  • Guide and mentor junior data scientists on technical work.
  • Manage the lifecycle of models used in high-impact applications.
  • Improve model accuracy and measurable business outcomes over time.
  • Share model findings, performance measures, and strategic recommendations with senior leaders and cross-functional partners.
  • Help Verizon move to a modern, agile pod-based operating model.
  • Enable customer microsegmentation and tailored engagement across lifecycle touchpoints.
  • Help marketers improve customer journeys and reduce churn in key segments.

Prasības

  • Bachelor’s degree or at least six years of relevant work experience.
  • At least eight years of relevant experience gained through professional work or military service.
  • Experience delivering high-priority or highly visible technical initiatives in a corporate environment.
  • Experience designing and evaluating A/B tests or uplift models for audience targeting.
  • Strong command of machine learning and deep learning methods, including transformers, transfer learning, and natural language processing.
  • Proficiency with PyTorch and scikit-learn.
  • Knowledge of probability calibration and time-based validation.
  • Experience using Python, R, and SQL for advanced statistical modeling and large-scale data extraction.
  • Experience with cloud platforms such as Google Cloud Platform, AWS, or Azure.
  • Experience with production MLOps tools for tracking and maintaining model workflows.
  • Additional experience with LLM agent architectures, Google ADK, LangChain or LangGraph, multi-agent orchestration, RAG, MCP or A2A protocols, ONNX-based embeddings, vector databases, or semantic search is advantageous.
  • Additional experience with cloud-scale data engineering, BigQuery pipelines, GCP Cloud Run, or Vertex AI is advantageous.

Priekšrocības

  • Medical, dental, and vision coverage.
  • Short- and long-term disability coverage.
  • Basic and supplemental life insurance.
  • Accidental death and dismemberment insurance.
  • Identity theft protection.
  • Pet insurance.
  • Group home and auto insurance.
  • 401(k) plan with company matching.
  • Up to eight company-paid holidays annually.
  • Up to six personal days annually.
  • Paid parental leave.
  • Adoption assistance.
  • Tuition assistance.
  • Premium pay opportunities, including overtime, shift differentials, holiday pay, and allowances.
  • New hires may receive up to 15 vacation days per year, with additional days based on length of service.
  • Other incentives.
  • Hybrid work arrangement.

Saistītās vakances

Prenuvo

Accounts Receivable Manager, 13-Month Contract (Canada Remote)

Prenuvo

Lead billing, collections, and month-end close improvements for Prenuvo’s proactive healthcare imaging business. Modernize AR processes across NetSuite and Stripe during a 13-month contract.

Atvērt
BlueCat

Customer Success Manager, Costa Rica (Remote)

BlueCat

Support BlueCat’s B2B SaaS customers across a shared portfolio, guiding adoption, value realization, retention, and renewal readiness. BlueCat’s platform automates enterprise network operations.

Atvērt
BlueCat

Customer Success Manager, BlueCat (Remote, US)

BlueCat

Manage a shared portfolio of customers using BlueCat’s AI-driven network operations platform. Support adoption, retention, renewals, and business outcomes through technical guidance and customer enablement.

Atvērt
Flinn.ai

Customer Solutions Manager, Medical Devices

Flinn.ai

Guide medical device manufacturers through Flinn.ai’s software onboarding and adoption, building customer relationships and tracking satisfaction. Identify expansion opportunities while working with customers in Vienna or Berlin.

Atvērt