Senior Machine Learning Engineer I
Core
Build agentic video and multimodal reasoning systems, turning research prototypes into safe, reliable, scalable production AI capabilities for justice and safety.
Role type
Senior Machine Learning Engineer (Infrastructure & Systems)
Builds
Data/ingest pipelines, training/evaluation infrastructure, inference/serving stacks, retrieval/orchestration layers for video and multimodal data.
Domain
Computer Vision, Multimodal AI, Agentic Systems, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, PyTorch/TensorFlow, distributed systems architecture, cloud infrastructure (AWS/GCP/Azure), container orchestration, vector search, system design, performance optimization
Preferred skills
Video processing pipelines, RAG infrastructure, foundation model serving, agentic system orchestration, responsible AI techniques
Technologies
Python, PyTorch, TensorFlow, AWS, GCP, Azure, Kubernetes
Responsibilities
Design and operate data pipelines for large-scale video corpora; build training and evaluation infrastructure; develop inference and serving systems for real-time/batch workloads; build retrieval and orchestration layers for agentic reasoning; ensure platform security and privacy; set technical direction and mentor engineers.
Seniority
Senior, hands-on IC with mentorship
