Voxel is seeking a highly skilled and experienced Senior ML Infrastructure professional to join their team. This role will focus on designing and implementing systems to support Voxel's ML development. The ideal candidate will have a strong background in software engineering, extensive experience working with distributed systems, and a deep understanding of infrastructure and ML systems.

What You'll Do

Build and maintain cloud infra and distributed systems for MLOps
Build out internal training framework to make research with large distributed models easy and fun
Design and develop systems to support Voxel's ML development, with a focus on computer vision applications.
Provide technical guidance, mentorship, and project management support.
Build distributed systems and pipelines for data management, ensuring scalability, reliability, and performance.
Demonstrate a deep understanding of DevOps practices and apply them to ML operations.
Utilize technologies such as Kubernetes and various CI/CD systems to optimize infrastructure deployment and management.
Handle the complexities of designing and implementing ML infrastructure systems in a dynamic and fast-paced startup environment.
Contribute to the overall impact of Voxel's AI-powered workplace safety solutions by delivering robust and efficient ML infrastructure.

Qualifications

Must-Haves
Bachelor's degree in Computer Science or a related field.
Minimum 5+ years of experience in software engineering, with a focus on infrastructure design.
Have experience designing large, highly available distributed systems with Kubernetes.
Proven experience in designing complex systems and strong software engineering skills.
Strong understanding and experience with distributed systems like Apache Spark, Ray etc. and infrastructure design.
Proficiency in containerization technologies like Docker and orchestration platforms like Kubernetes.
Demonstrated expertise in DevOps practices, with a focus on ML.
Have worked on ML tools that researchers love

Nice-to-Haves:

Knowledge of advanced ML operations techniques, such as model deployment and monitoring.
Experience with pipeline automation and data management in ML workflows.Previous experience building ML systems and working on ML adjacent teams.

Join Voxel and make a meaningful impact: At Voxel, we offer a unique opportunity to be part of a company that is transforming workplace safety through AI-powered solutions including applied Computer Vision. Your contributions will directly impact the safety of workers across industries, revolutionizing workplace safety practices.

Voxel

Staff Software Engineer - ML Infrastructure

Bay Area Hybrid OR Remote (US Only)$140,000 - $210,000 (Based on location) + Equityfull-time