Senior AI Engineer
Redmond, Washington, United States
USD 150K-160K Senior-level Full Time
Tasks
- Build pipelines for structured and unstructured data
- Build reusable frameworks and data products for multimodal and agentic deployments
- Contribute to simulation and digital twin robotics perception systems
- Define success metrics and translate business needs into system design
- Design build and deploy AI ML systems across vision and agentic workflows
- Develop and integrate models for video understanding and multimodal reasoning
- Implement and optimize model inference evaluation monitoring and drift detection
- Perform data error analysis benchmarking and model improvement
- Productionize models using AI platforms and SDKs
- Support experimentation with LLMs and VLMs and agent frameworks
Perks/Benefits
Skills/Tech-stack
AWS Bedrock | Agent Orchestration | Distributed Systems | Docker | Drift Detection | FastAPI | GCP Vertex | GCP Vertex AI | GPU Computing | Image Segmentation | Inference Server | Isaac Sim | JAX | Kubernetes | Language Models | Large Language Models | MLflow | Model Evaluation | Model Monitoring | Multimodal Learning | NVIDIA Isaac | NVIDIA Isaac Sim | NVIDIA Nemo | NVIDIA RIVA | Object Detection | Omniverse | Planning | PyTorch | Python | RAG | Rapids | TensorFlow | TensorRT | Tool use | Tracking | Triton Inference | Triton Inference Server | Vertex AI | Vision AI | Vision Language Models | Vision-language | Weights and Biases | Workflow Orchestration
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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