When you join Verizon

Verizon is one of the world’s leading providers of technology and communications services, transforming the way we connect across the globe. We’re a diverse network of people driven by our shared ambition to shape a better future. Here, we have the ability to learn and grow at the speed of technology, and the space to create within every role. Together, we are moving the world forward – and you can too. Dream it. Build it. Do it here.

What you’ll be doing...

The Company & Team

Verizon is serious about innovation. About being the first and being the best. We are building a future using technologies like 5G, Mobile Edge Computing and Artificial Intelligence that are allowing us to create products that were previously impossible. We’re building tomorrow with the best of today.

As a part of Verizon’s Corporate Strategy & New Business Incubation organization, Energy is an entrepreneurial team tasked with building the smart energy ecosystem of the future bringing together the power of Verizon’s network, to drive system orchestration, data processing, and energy software systems.

Your role

As a member of the Energy development team, you’ll be focused on building a software platform that enables Verizon to support the transformation of Energy technology that meets customers’ needs of tomorrow. You will be solving deep technical problems and building innovative solutions in a fast-paced environment working with smart and passionate team members. Your responsibilities will include owning the overarching solution, working closely with software engineering teams to bridge key technical relationships, and driving projects towards success. You will need to be independent, self-driven, self-organizing and hungry for learning. You should have a strong background in the area of mathematics-based machine learning. You are expected to come with demonstrated capabilities on probabilistic methods, including, but not limited to, non-parametric Bayesian networks, convolutional neural networks, compact probabilistic representation, multimodal deep belief networks, detection, autonomous heterogeneous sensor networks, and reinforcement transfer and one-shot learning methods.

  • Use your experience and skill set (along with your imagination) to manipulate and analyze complex, high volume, high dimensionality data from varying sources to help develop various types of data-driven insights and products.
  • Spearhead statistical analysis, 3rd party data integration, and hypothesis testing.
  • Establish scalable, efficient, automated processes supporting model development, model validation, and model implementation against large scale datasets.
  • Collaborate with other engineers or engineering teams to push algorithms into production.
  • Use your passion for identifying and answering hard questions using the power of data driven decisioning to improve business performance.

Where you'll be working:

In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

What we’re looking for...

You will need to have:

  • Bachelor’s degree or four or more years of work experience.
  • Six or more years of experience.
  • Data mining, statistical analysis, and coding experience.

Even better if you have:

  • Bachelor’s degree in computer science, engineering, statistics, or mathematics or equivalent work experience.
  • Master’s degree or PhD in relevant discipline (e.g. applied mathematics, statistics, physics, computer science, operations research).
  • Eight or more years of experience.
  • Skills with analyzing and deconstructing very large data sets.
  • Experience as the technical, hands-on principal investigator for mathematics-based machine learning R&D programs.
  • Strong development experience in languages like C++ and Python, as well as frameworks like Tensorflow, PyTorch, Kuda, and/or Keras.
  • Established track record of developing a technical research strategy that drives AI/ML development for R&D groups.
  • Experience with deep and reinforcement learning technologies.
  • Experience in MLOps and A/B testing.
  • Knowledge of the limitations of algorithms and data, with a creative approach for overcoming those limitations to close gaps and solve problems.
  • Ability to work independently as well as lead small cross-functional teams.
  • Familiarity with agile development methodology.


Verizon will consider qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Equal Employment Opportunity

We're proud to be an equal opportunity employer - and celebrate our employees' differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion page to learn more.

COVID-19 Vaccination Requirement

Verizon requires new hires to be fully vaccinated against COVID-19. Verizon provides reasonable accommodations consistent with legal requirements (e.g., for medical, religious, or state law recognized reasons).