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 exceptional technical aptitude, intelligence, communication skills, and passion are equally distributed worldwide. We are very committed to testing, vetting, and nurturing the most talented engineers for our program and on behalf of our clients. 
We seek an ambitious and self-motivated Software Engineer interested in joining one of our exciting projects related to a generative AI platform. You will be working in an ML-intensive environment to craft intricate AI tasks; the platform enables enterprises across diverse companies to harness the potential of generative AI effortlessly, all while maintaining stringent security measures and retaining control.You will be interacting with a multicultural team of high-caliber engineers and across different software-related disciplines such as, Data Engineering, Machine Learning and Data Science. 
At Factored, we are building a company that we all hold as our own, every single one of us. We need your skills to help take this rocketship to new heights and help create new opportunities for us. In return, you will be rewarded with a fantastic team that supports you, rich culture, shared success, and the flexibility to work– from the comfort of your home or anywhere you prefer in North, Central, or South America. #LI-Remote

What you will be doing:

• Develop command-line interfaces (CLIs) that empower engineers to perform model training on cutting edge hardware.
• Develop software abstractions that bridge the gap between a user-friendly high-level interface for utilizing models and the underlying lower-level classes responsible for interfacing with hardware components.
• Handle 3rd party API backend integrations.
• Design, implement, and test services to guarantee an accurate project Lifecycle.
• Work with agile processes focused on delivering production-ready testable code in small iterations.
• Investigate performance issues and implement fixes to the codebase and dependencies.
• Contribution to open source software to improve external dependencies.

What you must bring:

• +4 years of professional experience shipping production-ready code.
• Solid CS foundation and software engineering.
• Proficient in crafting Python tooling, primarily emphasizing enhancing user experience.
• Experience with Deep Learning, particularly with model training, and familiarity with frameworks like HuggingFace or Pytorch Lightning.
• Experience with Pytest and other best practices.
• Skilled in implementing excellent design patterns.
• Strong ability to convert ideas to running code.
• Excellent communication English skills (B2 - C1)

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.