Future Machine Learning Training Program
LATAM
Applications have closed
Factored
Empower your business with top AI engineers in innovation, business analytics, and data science. Scale efficiently with our expert-led AI solutions.
Pre-apply for our next program to indicate your interest
Who We Are: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 engineers globally. We know that exceptional technical aptitude, intelligence, communication skills, and passion are equally distributed worldwide, and we are very committed to testing, vetting, and nurturing the most talented engineers for our program and on behalf of our clients.
About The Training Program:Factored brings to LATAM the best educational resources in AI directly from Silicon Valley. Our training program has already delivered five cohorts of engineers and will be launching another one in 2023. Factored provides a 3-month full-time training in AI and offers selected Trainees full-time job opportunities to work on cutting-edge AI projects. The training program comes with no upfront costs. Additionally, we pay a monthly stipend to cover your living costs while on training.
What You Can Expect:Members of our training team include: AI experts, educators, and industry AI leaders. The training program content aims at making engineers industry-ready in 3 months. The key to our program success is a philosophy centered around learning by doing. More specifically the program entails:
1. Online content with extended discussions, assignments and weekly projects.2. Guided hands-on projects based on state-of-the-art approaches to ML.3. Capstone projects based on challenging real-world problems.4. Workshops and talks.5. Mentorship and soft-skill development.
The training program covers the technical challenges behind AI, from the algorithmic foundations up to the computational challenges to build and scale successful AI systems in real-world problems.
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.
Who We Are: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 engineers globally. We know that exceptional technical aptitude, intelligence, communication skills, and passion are equally distributed worldwide, and we are very committed to testing, vetting, and nurturing the most talented engineers for our program and on behalf of our clients.
About The Training Program:Factored brings to LATAM the best educational resources in AI directly from Silicon Valley. Our training program has already delivered five cohorts of engineers and will be launching another one in 2023. Factored provides a 3-month full-time training in AI and offers selected Trainees full-time job opportunities to work on cutting-edge AI projects. The training program comes with no upfront costs. Additionally, we pay a monthly stipend to cover your living costs while on training.
What You Can Expect:Members of our training team include: AI experts, educators, and industry AI leaders. The training program content aims at making engineers industry-ready in 3 months. The key to our program success is a philosophy centered around learning by doing. More specifically the program entails:
1. Online content with extended discussions, assignments and weekly projects.2. Guided hands-on projects based on state-of-the-art approaches to ML.3. Capstone projects based on challenging real-world problems.4. Workshops and talks.5. Mentorship and soft-skill development.
The training program covers the technical challenges behind AI, from the algorithmic foundations up to the computational challenges to build and scale successful AI systems in real-world problems.
What you must bring:
- 1+ years of experience in data-related projects reflected in any of the following: work experience, theses, articles, publications, conferences, and other projects.
- Bachelor's degree in Computer Science, Mathematics, Economics or other engineering fields.
- Strong Math, Calculus, Linear Algebra and Statistics foundations.
- Strong problem solvers and quick learners.
- Excellent English communication skills and the ability to have in-depth technical discussions with both the engineering team and business people.
- MSc, Ph.D. or other studies is a plus.
- Proficiency in any programming language. Python is a plus.
Desirable:
When does the training program start?
- Starting date to be defined in 2023. You will receive all the information and updates by email.
- The program will run for approximately 3 months.
- Remote training program.
How much does the training program cost?
- Factored does not charge upfront; we pay a monthly stipend for our scholars, and if they successfully complete the program, we offer them full-time employment. When joining the training program, you will agree to sign a blank promissory note with the equivalent amount of the training program investment. However, if you remain a Factored employee for 2.5 years, the entire training cost is considered to have been repaid.
What is the admission process?
- Candidates need to complete online applications.
- Candidates who pass the resume screening will receive two online technical tests.
- Qualified candidates will receive instructions for tech interviews.
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.
Tags: Computer Science Economics Engineering Linear algebra Machine Learning Mathematics Python Statistics Testing
Perks/benefits: Career development Conferences Gear Home office stipend Startup environment
Regions:
North America
South America
Job stats:
28
3
1
Categories:
Deep Learning Jobs
Machine Learning Jobs
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