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 around the world, and we are very committed to testing, vetting, and nurturing the most talented engineers for our program and on behalf of our clients.

We are looking for a skilled Python Developer with a strong background in Object-Oriented Programming (OOP) to join our team. The ideal candidate will have experience designing, developing, and maintaining scalable and efficient software applications using Python. You should be passionate about writing clean, modular, and reusable code while following best practices in software design.

Functional Responsibilities:

• Design, develop, and maintain high-quality software solutions using Python.
• Apply OOP principles to write modular, reusable, and maintainable code.
• Develop and maintain APIs, microservices, and backend systems.
• Work with databases (SQL/NoSQL) and optimize queries for performance.
• Write unit tests and integration tests to ensure software reliability.
• Collaborate with cross-functional teams including DevOps, frontend developers, and product managers.
• Stay updated on Python best practices, frameworks, and industry trends.
• Participate in code reviews and provide constructive feedback.

Qualifications:

• 5+ years of experience in Python development.
• Strong understanding of Object-Oriented Programming (OOP) principles and design patterns.
• Experience working with Python frameworks such as Django or FastAPI.
• Proficiency in database management (PostgreSQL, MySQL, MongoDB, etc.).
• Experience with RESTful APIs and/or GraphQL.
• Familiarity with Docker, Kubernetes, or cloud services (AWS, GCP, Azure) is a plus.
• Experience with unit testing and test-driven development (TDD).
• Strong problem-solving skills and ability to work independently or in a team.
• Excellent communication skills and attention to detail.

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 are 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.