Agentic AI/ML Engineer, Multimodal
Core
Develop and deploy agentic AI and multimodal models for computer vision, video understanding, and vision-language integration to enable robots to operate in complex real-world environments.
Role type
Senior IC agentic AI/ML engineer (multimodal)
Builds
Field-insight Foundation Model, agentic AI pipelines, and multimodal perception systems for autonomous robots
Domain
Robotics, Computer Vision, Agentic AI
Deliverable
production ML models
Required skills
Computer vision, video understanding, vision-language models, Python, PyTorch, MLOps, multi-GPU optimization, RAG pipelines, knowledge graphs, dataset curation, model fine-tuning
Preferred skills
Agentic AI, temporal modeling, open-vocabulary detection, zero/few-shot learning, edge deployment, quantization, distributed inference
Technologies
PyTorch, Python, AWS, vLLM, DeepSpeed, FSDA, LoRA, QLoRA, Hugging Face, OpenSearch, vector databases
Responsibilities
Train and fine-tune large multimodal models for computer vision and video understanding; build scalable evaluation pipelines for vision and multimodal models; create embedding-based memory and retrieval chains; optimize open-source VLMs for efficiency and robustness; contribute to model observability and drift detection.
Seniority
Senior, hands-on IC
