Machine Learning Tech Lead
Latin America
Engineering /
Full-time /
Remote
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 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 seeking a highly skilled and experienced Machine Learning Tech Lead to join our dynamic team and lead our ML initiatives for our clients and internal projects. This role requires a hands-on leader with a strong background in machine learning, data science, and software engineering. The ideal candidate will be capable of guiding a team of ML engineers and data scientists, working directly with clients to deliver high-impact solutions.
What you will be doing:
- Mentor and guide a team of ML engineers and data scientists, fostering a collaborative and innovative environment.
- Act as the primary technical point of contact for clients and engineers, understanding their needs and translating them into technical solutions.
- Stay up-to-date with the latest advancements in machine learning and artificial intelligence, integrating relevant innovations into the team’s work.
- Ensure best practices in data preprocessing, model training, validation, and deployment to advise clients and support internal projects.
- Manage the infrastructure and toolsets required for efficient ML model development and deployment.
What you bring:
- 8 years of experience in machine learning, data science, or a related field.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. Ph.D. preferred.
- Proven track record of leading ML projects from concept to production, particularly for external clients.
- Experience in managing and mentoring a team of ML engineers or data scientists.
- Proficiency in programming languages such as Python, R, or Java.
- Extensive experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure).
- Familiarity with MLOps practices, including version control, CI/CD, and model monitoring.
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.
