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...

Verizon New Business Incubation (NBI) is looking for a Chief Applied Scientist to help us develop and deliver cutting edge automation technologies to our customers via our industry leading 5G network. Reporting directly to the CTO of NBI, you will lead the development of our machine learning and artificial intelligence capabilities designed to advance a variety of initiatives - from mobile robot autonomy and Edge AI, to cybersecurity. We are looking for a technical innovator with strong product instincts and a collaborative, empathetic approach to their work. You will have an intimate understanding of reinforcement learning, self-supervised learning, synthetic data generation, and be comfortable working with the CTO to execute a business-oriented technology strategy that drives customer satisfaction and enables exponential revenue growth.

  • Work with technical and business leadership to gain a detailed understanding of our target markets, key revenue opportunities, and upcoming products.

  • Work with our customers to gain an extremely detailed understanding of their standard operating procedures and business processes.

  • Leverage the above understanding to design automation strategies, developing and training the AI/ML capabilities necessary to insert autonomous and stationary robots into existing workflows.

  • Provide technical leadership of R&D projects, working with R&D engineers to define, capture, and execute development programs that generate novel, state-of-the-art algorithms and solutions for applied use cases.

  • Hire, grow, and manage a team of applied scientists, guiding their customer-centric work and methods with an eye on cross-utilization between customers, industries, and problem sets.

What we’re looking for...

Our Chief Applied Scientist should have a strong background in the area of mathematics-based machine learning. Candidates 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.
You'll need to have:

  • Bachelor’s degree or four or more years of work experience.
  • Six or more years of relevant work experience.

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

  • MS (PhD preferred) with six or more years of multidisciplinary professional research experience.
  • Specialization in deep supervised and/or deep reinforcement learning.
  • Experience as the technical, hands-on principal investigator for mathematics-based machine learning R&D programs.
  • Experience as the technical lead on new business acquisition initiatives.
  • Strong technical writing and verbal presentation skills.
  • Established track record of developing a technical research strategy that drives AI/ML development for R&D groups.
  • A relationship-driven workstyle with a dedication to interdisciplinary collaboration and strong commitment to mentoring less senior staff and colleagues.
  • Publication in refereed technical journals.
  • Five or more years of experience working with Edge AI, reinforcement, active, and supervised learning, as applied to both stationary and autonomous robots.
  • Five or more years of experience working with IoT and computer vision platforms, with expertise designing, training, and deploying novel deep learning architectures and a broad understanding of DL methods and literature.
  • Strong development experience in languages like C++ and Python, as well as frameworks like Tensorflow, PyTorch, Kuda, and/or Keras.
  • Understanding of the limitations of algorithms and data, with a creative approach for overcoming those limitations to close gaps and solve problems.

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 or religious reasons).