Agentic AI/ML Engineer, Multimodal (Robotics)

Location: Irvine, California, United States; on-site

Company

hirify.global develops risk-aware, reliable, field-ready AI systems that enable autonomous robots to operate in complex real-world environments.

What you will do

• Train and fine-tune million- to billion-parameter multimodal models for computer vision, video understanding, and vision-language integration.
• Research state-of-the-art algorithms and integrate them into the Field-insight Foundation Model.
• Curate large-scale image and video datasets and build tools for model interpretability.
• Develop scalable evaluation pipelines, model observability, drift detection, and error-classification systems.
• Optimize open-source vision-language and multimodal embedding models for efficiency and robustness.
• Build Multi-Vector RAG pipelines, vector database and knowledge-graph integrations, and embedding-based memory and retrieval chains.

Requirements

• Master’s or Ph.D. in Computer Science, AI/ML, Robotics, or equivalent industry experience.
• At least 2 years of industry experience or relevant publications in computer vision, machine learning, or AI.
• Strong expertise in computer vision, video understanding, temporal modeling, and vision-language models.
• Production-level Python and PyTorch skills, including pipelines for large-scale video and image datasets.
• Experience with cloud platforms such as AWS, MLOps practices, CI/CD, and experiment tracking.
• Hands-on experience with HuggingFace, DeepSpeed, vLLM, FSDP, LoRA/QLoRA, quantization, and multi-GPU optimization.

Nice to have

• Experience with agentic or RAG pipelines, knowledge graphs, and tools such as LangChain, LangGraph, LlamaIndex, OpenSearch, FAISS, or Pinecone.
• Experience with agent operations logging, evaluation frameworks, reranking, chunking, and retrieval-latency optimization.
• Experience with quantized and distributed multi-GPU inference.
• Knowledge of open-vocabulary detection, zero-shot or few-shot learning, multimodal RAG, and temporal-spatial modeling.
• Experience deploying AI in edge or resource-constrained environments.

Culture & Benefits

• Work directly with real robots, sensors, and field deployments in Irvine.
• Collaborate across AI, software, robotics engineering, product, field deployment, and technical communication.
• Contribute to systems focused on explainability, safety, and dependable operation outside the lab.
• Base compensation is determined by role scope, knowledge, skills, experience, and the Irvine market.
• Inclusive workplace committed to evaluating candidates based on merit, qualifications, and performance.