Software Engineer

$60,000 USD/year ^{Pay is set based on global value, not the local market. Most roles = hourly rate x 40 hrs x 50 weeks}  ($30 USD/hour)

The learning never stops! In two years, you'll learn more than you would in 10 years at Google or Amazon. 

Your first three months will be spent at Trilogy University (TU), an intensive training program. TU is an incubator environment that creates the ideal conditions for accelerated learning. Here, you will become a thorough problem-solver who can identify innovative solutions to any problem you face. TU instills our culture of trust and ownership. You will develop a deep sense of camaraderie with your cohort through both hard work and fun.

After TU, you will get into project work. You'll learn new technologies, business domains, and soft skills. You'll get mentoring from senior leaders and provide your feedback in return. You'll learn from your mistakes, your peers, and your mentors. As you grow, you will advance to more senior levels of responsibility.

With all this experience, you will be able to take your career wherever you want to go!

This is an example of the kind of problems you will solve:

A newspaper publisher wants to convert their physical paper to an e-paper. As a part of converting to an e-paper, the publisher wants to appropriately identify elements in the news segments such as headlines, content, images, articles, and advertisements and automatically translate them into a rich media format best suited for digital publishing. 

This process is currently handled by a legacy tool that uses a rule-based approach to identify specific news snippets and convert them to a digital format. However, the rules can vary from publication to publication, and it is difficult to codify all the rules. As a result, they need to supplement the automated flow with a manual review and correction process. The challenge is that this manual process is time-consuming, error-prone, and costly.

Your goal is to reduce the costs of manual correction by 70-80% by ensuring that:

1. The news elements are detected and classified with high accuracy
2. The process can scale to hundreds or thousands of publishers