Machine Learning

Machine Learning

San Jose, CA 95131 (North Valley area) 2016-10-28 - –

verizon Verizon

Responsibilities

Do you want to be in a co-founder equivalent role for a product being built from scratch in the space of AI and ML. You will be part of the team which will take on tough problems and solve them using vast computing resources. You’ll have a positive impact on our organization, and change the way that our customers live, work, and play. Come be part of this incredible hands-on team!

Qualifications

Must have:
An advanced degree in quantitative field or equivalent experience.

Experience with distributed machine learning and computing framework

Ideally, you’ll also have:
Deep understanding of building highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models.

Skills to adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

Demonstrated ability to work in areas outside of their usual comfort zone and get things done quickly.

Exposure to architectural patterns of a large, high-scale web application.

Extensive experience building and owning large-scale, geographically distributed backend systems.

Not to boast, but a little bit about us

Verizon powers America’s fastest and most reliable network. We’re also leading the way in cloud and security solutions, Internet of Things and video entertainment. Technology moves fast and so do we. We believe that bringing great ideas and customer experiences to life should be recognized and rewarded. Whether you think in code, words, pictures or numbers, find your future at Verizon.

Equal Employment Opportunity

We're proud to be an equal opportunity employer – and celebrate our employees' differences, regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or Veteran status. Different makes us better.

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