Senior ML Platform

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:

• 7+ years of experience as an ML, backend, data, or platform engineer developing large-scale, complex systems.
• 4+ years of experience working on a cloud environment such as GCP, AWS, Azure, and with DevOps tooling such as Kubernetes.
• 2+ years of experience leading projects.
• 2+ 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.