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 worldwide, 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 Senior ML Platform specialist familiar with data engineering contexts to join our team. Your role will involve shaping and contributing to an evolving ML platform, aimed at expediting the development, deployment, and management of AI solutions.
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 an amazing team that supports you, rich culture, shared success, and the flexibility to work– from the comfort of your home. #LI-Remote

What you will be doing:

  • Contributing to technical designs for features, training, serving platforms, and operational infrastructure.
  • Developing reusable AI/ML model development and deployment frameworks, promoting best practices in MLOps.
  • Designing for availability, scalability, operational excellence, and cost management.
  • Collaborating with ML Engineers, Data Scientists, and Product Managers to accelerate AI/ML development and deployment.
  • Mentoring on ML operations tools and technologies.
  • Architecting an AI platform aligned with responsible AI principles and privacy compliance.
  • Leading build vs buy discussions for underlying technologies.

What you must bring:

  • 5+ years of experience as an ML, backend, data, or platform engineer developing large-scale, complex systems.
  • 2+ years of experience working on a cloud environment such as GCP, AWS, Azure, and with DevOps tooling such as Kubernetes.
  • 1+ years of experience leading projects.
  • 1+ year of experience in Senior designing and developing online and production-grade ML systems.
  • Data engineering skills in handling and managing large datasets, including data cleaning, preprocessing, and storage.
  • A degree in computer science, engineering, or a related field.

Nice to have:

  • The ability to establish ML platform frameworks such as AWS Sagemaker, Feast, GCP Vertex AI, Kubeflow, MLFlow, Ray, and/or similar.
  • The ability to establish and manage DevOps tooling for data and compute infrastructure such as Argo, Airflow, Kaa, Docker, Spark, Flink, Kubernetes, and Terraform.
  • Demonstrated technical leadership experience in aligning platform strategy with product and business objectives.
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.