Member Technical Staff II
Core
Design and operate scalable, reliable systems processing high volumes of video data, integrating foundational and open-weight models (LLMs, VLMs, vision AI) into production pipelines.
Role type
Senior IC machine-learning engineer (video & AI systems)
Builds
Cloud-native, event-driven services on AWS using messaging and streaming systems
Domain
Cloud infrastructure + Applied AI (LLMs, VLMs, vision AI)
Deliverable
production ML models
Required skills
Python, Java, Go, distributed systems, RESTful APIs, microservices, event-driven design, vector databases, AWS, Docker, Kubernetes, CI/CD, AI coding assistants, agentic tooling
Preferred skills
Scaling systems at startups, applied AI (vector embeddings, MLOps), large-scale media data pipelines, relational/NoSQL/graph databases
Technologies
AWS, Kinesis, SQS, Docker, Kubernetes, CI/CD tools
Responsibilities
Own implementation end to end across frontend, backend, AWS infrastructure, and the software–AI boundary; Design and operate scalable, reliable systems that process high volumes of video data; Integrate foundational and open-weight models, including LLMs, VLMs, and vision AI, into production pipelines; Build cloud-native, event-driven services on AWS using messaging and streaming systems such as Kinesis and SQS; Ship iteratively using AI coding assistants and agentic tooling in the development workflow
Seniority
Senior, hands-on IC
