Factored was conceived in Palo Alto, California by Andrew Ng and a team of highly experienced AI researchers, educators, and engineers to help address the significant shortage of qualified AI, machine learning, and data science engineers globally. ​We know that exceptional technical aptitude, intelligence, communication skills, and passion are equally distributed around the world, and we are committed to vetting, selecting, and nurturing the most talented engineers on behalf of our clients.

We are bringing the best educational resources from Silicon Valley to Latin America. We have successfully completed Machine Learning Engineering and Data Engineering Programs in the past and we are glad to launch another Data Engineering Advanced Accelerator Program (AAP).  

Our reason for having a Data Engineering AAP? The demand for Data Engineers has increased dramatically in recent years. The amount of data being produced has never been higher and will only continue to increase. To make use of this data, Data Engineers are absolutely vital and we want to help train and educate a new generation of highly skilled and qualified Data Engineers.

Our recruiting process is highly selective; we’re always looking for the best talent. Our immersive, full-time advanced training in Data Engineering is a 12 weeks program. Upon completion, we offer selected trainees full-time job opportunities to work on cutting-edge data-driven projects and continuous learning paths for Factored employees to constantly update their skills. Better still, the advanced accelerator program comes with no upfront costs for participants, and we even pay a monthly stipend to cover living costs.

Our team is composed of data engineering experts, educators, and industry leaders. We’ve designed a curriculum that aims to make engineers industry-ready in 12 weeks. ​The Data Engineering AAP comprises 4 components:

1. Online content with extended discussions, assignments, and weekly hands-on projects.

2. Literature review.

3. Capstone projects based on real-world problems and datasets that meticulously adhere to good practices in development. ​

4. Mentorship and soft-skills development.

Our AAP is optimally designed to cover the technical challenges behind Data Engineering, from the foundations behind learning algorithms to the computational challenges to build and scale successful data pipelines in real-world scenarios. #LI-Remote

At Factored, we believe that passionate, smart people expect honesty and transparency, as well as the freedom to do the best work of their lives while learning and growing as much as possible. Great people enjoy working with other passionate, smart people, so we believe in hiring right, and are very selective about who joins our team. Once we hire you, we will invest in you and support your career and professional growth in many meaningful ways. We hire people who are supremely intelligent and talented, but we recognize that intelligence is not enough. Perhaps more importantly, we look for those who are also passionate about our mission and are honest, diligent, collaborative, kind to others, and fun to be around. Life is too short to work with people who don’t inspire you.  

We are a transparent workplace, where EVERYBODY has a voice in building OUR company, and where learning and growth is available to everyone based on their merits, not just on stamps on their resume. As impressive as some of the stamps on our resumes are, we recognize that human talent and passion exist everywhere, and come from many backgrounds, so stamps matter much less than results. All of us are dedicated doers and are highly energetic, focusing vehemently on execution because we know that the best learning happens by doing. We recognize that we are creating OUR COMPANY TOGETHER, which is not only a high-performing fast-growing business, but is changing the way the world perceives the quality of technical talent in Latin America. We are fueled by the great positive impact we are making in the places where we do business, and are committed to accelerating careers and investing in hundreds (and hopefully thousands) of highly talented data science engineers and data analysts. 

 In short, our business is about people, so we hire the best people and invest as much as possible in making them fall in love with their work, their learning, and their mission.  When not nerding out on data science, we love to make music together, play sports, play games, dance salsa, cook delicious food, brew the best coffee, throw the best parties, and generally have a great time with each other.