Job Description
About the Role
We are seeking a talented Senior Data and ML Infrastructure Engineer to join our team. As a key member of our Data & ML Platform team, you will collaborate with engineers, product specialists, and data experts to research, prototype, and develop world-class applications, services, and pipelines.
The ideal candidate will have experience in infrastructure and back-end engineering, with a track record of building robust distributed systems. Daily hands-on experience with model training, deployment, experimentation, and serving tools for machine learning is also required.
Design and optimize large-scale data platforms and machine learning infrastructure systems for efficiency, reliability, and cost-effectiveness.
Lead improvements in infrastructure tooling by researching, prototyping, and implementing solutions that enhance operational excellence and development agility.
Implement next-generation ML Ops capabilities in our model training, deployment, and serving pipelines.
Champion infrastructure optimization projects across the company, driving significant cost savings while maintaining or improving service performance.
Engage in on-call rotations, utilizing your deep understanding of infrastructure to identify and resolve complex issues quickly, minimize impact, and prevent future occurrences through automation and system enhancement.
We are seeking a talented Senior Data and ML Infrastructure Engineer to join our team. As a key member of our Data & ML Platform team, you will collaborate with engineers, product specialists, and data experts to research, prototype, and develop world-class applications, services, and pipelines.
The ideal candidate will have experience in infrastructure and back-end engineering, with a track record of building robust distributed systems. Daily hands-on experience with model training, deployment, experimentation, and serving tools for machine learning is also required.
Design and optimize large-scale data platforms and machine learning infrastructure systems for efficiency, reliability, and cost-effectiveness.
Lead improvements in infrastructure tooling by researching, prototyping, and implementing solutions that enhance operational excellence and development agility.
Implement next-generation ML Ops capabilities in our model training, deployment, and serving pipelines.
Champion infrastructure optimization projects across the company, driving significant cost savings while maintaining or improving service performance.
Engage in on-call rotations, utilizing your deep understanding of infrastructure to identify and resolve complex issues quickly, minimize impact, and prevent future occurrences through automation and system enhancement.
💡 Quick Summary
Seeking a career-building opportunity? The Software Development Engineer position is now open for candidates interested in the Software Developer Jobs sector. This role in San Francisco offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Software Developer Jobs is a plus.
