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 Machine Learning Engineer Intern to join our team and assist with supporting our Product area to develop and maintain AI solutions for Factored and its daily operations. The ideal candidate will be well-versed in basic Machine Learning concepts, have a passion for problem solving, attention to detail with critical thinking, be relentless at execution, and be able to work comfortably with a cross-functional team.
Functional Responsibilities:
- Develop production-ready code for machine learning models, that might include internal libraries and web applications.
- Adapt and/or potentially fine-tune third-party models for different tasks.
- Benchmark and experiment on different machine learning approaches.
- Working with a cross-functional team, communicating findings and progress on your project.
Qualifications:
- Ongoing bachelor's degree in Computer Science, Data Science, Math, Systems Engineering, or related.
- Fundamental understanding of basic Machine Learning, basic Deep Learning, Linear Algebra and Statistics.
- Knowledge of fundamentals of computer science, algorithms and common data structures.
- Basic knowledge of software engineering and object-oriented programming.
- Prior experience working with NLP Deep Learning Algorithms is nice to have.
- Prior exposure to backend engineering or web development is nice to have.
- Required technologies: Python is a must and Streamlit for UI prototyping is a nice-to-have.
- Prior exposure to Fast-Api or Similar libraries is nice to have.
- Advanced English level.
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.
