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 with the desire to boost their careers in the Data Engineering or Machine Learning Engineering field. You might be a good fit if you are a data engineer,  data analyst, analytics engineer, machine learning engineer, or backend developer.  
• Bachelor’s degree in Computer Science, Mathematics, Economics or other engineering fields.
• 1+ years of experience in data-related projects reflected in any of the following: work experience, thesis, articles, publications, conferences, and other projects.
• Strong problem solvers and quick learners.
• Basic understanding and experience in Backend Development.
• Proficiency in Python, SQL or any programming language.
• Excellent English communication skills and the ability to have in-depth technical discussions with both the engineering team and business people.

Nice to have but not mandatory:

• MSc, Ph.D. or other related studies is a plus.
• Cloud Computing 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 9 to 12 weeks.

Training is composed of  4 phases:

1. Mix of classroom and online content with extended discussions and assignments.
2. Literature review and paper implementation.
3. Capstone projects based on real-world problems and datasets.
4. Mentorship and soft-skills development.

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.

• Our immersive, full-time training programs run from Monday to Friday.  Both programs will run for 12 weeks.
• This is a fully remote training program.
• Trainees who then become full-time Factored employees have the opportunity to take part in our continuous learning program to ensure they’re always up-to-date when it comes to cutting-edge skills and processes in the data science and AI industry.

Factored does not charge upfront and we pay a monthly stipend for our trainees. Trainees who successfully pass the training program will receive a full-time contract. By joining the training program, you agree to sign a loan agreement with the equivalent amount of the training investment. If you remain as a Factored employee for 2.5 years (2 years and 6 months), the loan agreement will be closed without any debt in favor of Factored.

1. Candidates need to complete the online application through our website.
2. Candidates who pass the résumé screening will receive an invitation by email to complete the online assessments. You will have seven (7) days to complete the assessments once you receive the email invitation. 
3. Candidates who pass the online assessment stage will receive instructions to schedule the behavioral interview. 
4. Candidates who pass the behavioral interview stage will receive instructions to prepare for two (2) technical interviews.  
5. Candidates who pass the technical interviews will be contacted by the recruitment team to schedule the cultural fit interview with our CEO, Israel Niezen.
6. Candidates who successfully pass the above stages will be considered to be part of the training program.

We look for strong engineers with a proven passion for AI. How to prepare for the test depends on which program you are applying to. 

If applying to the machine learning training program:

• Brush up on: Probability and Statistics, Linear Algebra, Math and Calculus, and Classical Machine Learning.
• Practice: object-oriented programming, inheritance and composition, and algorithmic coding.

If applying to the data engineering training program: 

• Sharpen your SQL skills by reviewing: selecting columns, filtering rows, aggregate functions, sorting and grouping.
• Know how to establish a connection to a server (PostgreSQL), and also how to create: tables, schemas, views and materialized views.
• Practice: object-oriented programming, inheritance and composition, and algorithmic coding.

We will conduct a technical assessment by the end of the training program. Selected trainees will receive full-time offers immediately following the successful completion of the training.

Trainees 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 recruiting@factored.ai. You should also join our informational webinars to learn more about the training programs; we will be in touch via email to let you know when these are taking place.