Member of Technical Staff, Machine Learning Infrastructure
Posted
Tech Stack
KubernetesApisDistributed SystemsNvidia Triton ServerVllmTrt-LlmPytorchTensorflowGpuCudaTerraformAnsible
Solid badges = required, outlined = preferred
Responsibilities
- Design, deploy and maintain scalable Kubernetes clusters for AI model inference and training
- Develop, optimize, and maintain ML model serving infrastructure, ensuring high-performance and low-latency
- Collaborate with ML and product teams to scale backend infrastructure for AI-driven products
- Optimize compute-heavy workflows and enhance GPU utilization for ML workloads
- Build a robust model API orchestration system
Soft Skills
Machine LearningGitopsGenerative AIWritten Communication
Benefits
- 401k
- Commuter Benefits
- Dental
- Equity
- Flexible Hours
- Flexible PTO
- HSA/FSA
- Health Insurance
- Mental Health
- Parental Leave
- Sabbatical
- Vision
Culture
Extreme OwnershipFast-PacedStartup EnergyHigh Growth
Requirements
Regions: Us
Get jobs like this in your inbox
Weekly Kubernetes, Apis, Distributed Systems hiring trends and salary data — free.
Join 8 engineers getting weekly insights
Get job market intelligence in your inbox
Free weekly insights on tech hiring trends, salaries, and in-demand stacks.
Already a subscriber? Sign in
About abridge
Industry: healthtech
Size: small
Abridge is a generative AI healthcare company that transforms medical conversations into structured clinical documentation in real-time.
View company profile →Compensation
Equity: Equity grants
Similar Jobs
Member of Technical Staff, Data
abridge · SF Office
Hybrid
Member of Technical Staff, Machine Learning
abridge · SF Office
Member of Technical Staff, Early Career
abridge · SF Office
Member of Technical Staff, Intern (Fall 2026)
abridge · SF Office
$83k
Member of Technical Staff, Intern (Spring 2027)
abridge · SF Office
$83k