Staff + Sr. Software Engineer, Cloud Inference Launch Engineering

About this kind of role

What a Staff + Sr. Software Engineer, Cloud Inference Launch Engineering usually does. The employer's own details are in the listing.

Typically does: This role focuses on the launch of machine learning models into production environments, ensuring they function reliably and efficiently at scale. Responsibilities include building and maintaining infrastructure, automating deployment processes, and monitoring model performance. They collaborate with machine learning engineers, software engineers, and product managers to deliver high-quality, scalable solutions. Troubleshooting and resolving issues related to model deployment and inference are also key aspects of the job.

Tools and skills: Proficiency in cloud platforms (like AWS, Google Cloud, or Azure), scripting languages (such as Python), containerization technologies (like Docker and Kubernetes), and experience with CI/CD pipelines are generally required.

Good fit for: Individuals with a strong background in software engineering and a passion for machine learning deployment, who enjoy problem-solving and working in a fast-paced environment, are a good match.