At Jasper, we believe in pay transparency and are committed to providing our employees and candidates with access to information about our compensation practices. The expected base salary range at offer for this role is $197,000- $225,000. Compensation may vary based on relevant experience, skills, competencies and certifications.

Because AI often learns and behaves like a human, it presents many of the same kinds of risks that a company faces in its human workforce. As such, without effective safeguards, AI might act in ways that are unpredictable or have unintended consequences. Achieving trustworthy AI that is responsible and ethical requires effective governance in every phase of the AI life cycle. Waiting until after problems arise can have significant legal, regulatory, and financial repercussions. It can also cause significant reputation damage and embarrassment for a company and its leaders.

Deep Learning and Machine Learning has made breakthroughs in recent years. There is tens of billions of dollars going into development of the new AI. Google and Deep Mind are recognizing that Deep Learning is not going to reach human cognition. They propose using models of networks to find relations between things to enable computers to generalize more broadly about the world. Deep learning faces challenges in complex language and scene understanding, reasoning about structured data, transferring learning beyond the training conditions, and learning from small amounts of experience.

In recent years, tech giants such as Amazon, Google, Microsoft and IBM (along with a slew of startups) have all begun to offer what's known as Artificial Intelligence as a service (AIaaS). These services, in a nutshell, make a wide range of AI algorithms available to the public. Examples for this are algorithms for classification, regression, and Deep Learning – a modern learning algorithm that relies on Artificial Deep Neural Nets. As more and more companies begin to make use of AlaaS, a better understanding of how it can be best integrated into your own business is the difference between having a massive cost-saver and a massive headache. Companies once had to spend a lot of time producing their own AI applications, and did so at great expenditure.