100% coverage of medical, dental, and vision insurance
Generous PTO policy including Winter Break
Company-facilitated 401(k)
Job summary
A dynamic AI company is seeking an Infrastructure Software Engineer in San Francisco to build and maintain components of an ML inference platform. The successful candidate will develop infrastructure components using Python and Go, manage Kubernetes deployments, and enhance monitoring systems for model metrics. This role offers competitive compensation with benefits like 100% medical coverage and generous PTO policies. Join a collaborative team dedicated to advancing AI and machine learning infrastructure.
Qualifications
1-3 years experience in software engineering or infrastructure.
Working knowledge of Kubernetes and containerization.
Basic understanding of machine learning concepts.
Responsibilities
Develop infrastructure components for our ML inference platform using Python and Go.
Implement and maintain Kubernetes deployments for model serving.
Support infrastructure automation to improve ML deployment workflows.
Skills
Proficient coding abilities
Collaboration and communication skills
Interest in ML/AI infrastructure
Education
Bachelor's degree or higher in Computer Science or related field
Tools
Kubernetes
Go
Monitoring tools
Job description
A dynamic AI company is seeking an Infrastructure Software Engineer in San Francisco to build and maintain components of an ML inference platform. The successful candidate will develop infrastructure components using Python and Go, manage Kubernetes deployments, and enhance monitoring systems for model metrics. This role offers competitive compensation with benefits like 100% medical coverage and generous PTO policies. Join a collaborative team dedicated to advancing AI and machine learning infrastructure.