FACTORED DATA ENGINEERING TRAINING PROGRAM
APPLICATIONS ARE NOW CLOSED
We are bringing the best educational resources from Silicon Valley to Latin America. We have successfully completed Machine Learning Engineering Programs in the past and in September 2021 we will be launching our brand new Data Engineering Program.
Our reason for creating a Data Engineering Program? It’s become apparent that 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 so we want to help train and educate a new generation of highly skilled and qualified Data Engineers, just as we have done with Machine Learning Engineers in our previous programs.
Our recruiting process is highly selective; we’re always looking for the best talent. Our immersive, full-time training in Data Engineering is a 3-month program and upon completion, we offer selected trainees full-time job opportunities to work on cutting-edge data driven projects. Better still, the training program comes with no upfront costs for trainees and we even pay a monthly stipend to cover trainees’ living costs.
Factored recruits, trains, and builds high-caliber data science, data engineering, AI and machine learning engineering teams. Our highly selective vetting of engineering talent, and our rigorous advanced training programs, result in world-class teams that can confidently compete with the top 3% data science, data engineering and machine learning engineers in the world.
People that we are looking to hire must have the following:
– Undergraduate degrees in computer science, applied mathematics, data science, economics, or other engineering fields.
– Have proven passion for AI/ML/DL/DE reflected in any of the following: work experience, personal projects, articles, publications, conferences and other relevant projects.
– Be strong problem solvers and quick learners.
– Be enthusiastic and energetic members of a fast-growing startup environment.
Also the following are desirable features for candidates:
– Master’s degree or higher is a plus.
– 2+ years of work experience (DS, SW Engineering, Data Analytics, Data Engineering or Research).
– Outstanding written and oral communication skills in English.
– Proficiency in any programming language, Python is a plus.
Our team is composed of worldwide AI experts, educators, and industry leaders (Andrew Ng, AI Fund, deeplearning.ai, former Stanford University instructors). We’ve designed a curriculum that aims to make talented engineers industry-ready in under 4 months.
Training is composed of 3 phases:
– Mix of classroom and online content with extended discussions and assignments.
– Literature review and paper implementation.
– Capstone projects based on real-world problems and datasets.
Our programs are optimally designed to cover the technical challenges behind AI, from the foundations behind learning algorithms to the computational challenges to build and scale successful AI systems in real-world problems.
Training lasts approximately 3 months, full-time, Monday to Friday.
Factored does not charge upfront and we pay a monthly stipend for our scholars, and if they pass our course, we offer them full employment. By joining the training program, you agree to sign a blank promissory note with the equivalent amount of the training program investment. If you remain a Factored employee for 3 years, the entire training cost is repaid.
The admission process consists of (1) an online technical assessment, (2) 2 video interviews with Factored engineers, and (3) a final round of in-person interviews.
We look for strong engineers with a proven passion for AI. We suggest you review the following: Mathematics from first year of undergraduate studies (algebra, statistics and multivariate calculus), data science and Python programming (algorithmic coding + data structures).
We will conduct a technical assessment by the end of the training program. Selected scholars will receive full-time offers immediately following the completion of training.
Scholars will be employed as full-time Factored engineers to work on projects for external partners and clients of Factored. These are typically fast-growing companies around the globe who are actively expanding their AI capacity. Examples of scopes of work may include computer vision applications in social media, object detection applications in manufacturing, or natural language processing applications in fintech.
If you have additional questions, please feel free to write us an email at email@example.com. You should also join our informational webinars to learn more about the training program; we will be in touch via email to let you know when these are taking place.