Irvine-Based Agentic AI/ML Engineer — Multimodal Vision

FieldAI; Irvine (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

FieldAI in Irvine develops Field Foundation Models powering autonomous robots with multimodal data. The AI/ML Engineer will drive research and model development across CV, VLMs, and long-memory video analysis, emphasizing agentic AI and memory-enabled retrieval.

You will curate datasets, fine-tune models, and deploy them into production, contributing to perception and insight-generation initiatives across FieldAI.

Qualifications

• Advanced degree or equivalent industry experience in CS/AI/ML/Robotics.
• 2+ years of industry experience or publications in CV/ML/AI.
• Strong expertise in computer vision, video understanding, temporal modeling, and VLMs.
• Proficiency in Python and PyTorch with production-level coding skills.
• Experience building pipelines for large-scale video/image datasets.
• Familiarity with AWS or other cloud platforms for ML training and deployment.
• Understanding of MLOps best practices (CI/CD, experiment tracking).
• Hands-on experience fine-tuning open-source multimodal models using HuggingFace, DeepSpeed, vLLM, FSDP, LoRA/QLoRA.

Responsibilities

• Train and fine-tune multimodal models with a focus on CV, video understanding, and vision-language integration.
• Track state-of-the-art research and adapt algorithms into FiFM.
• Curate datasets and develop tools to improve model interpretability.
• Build scalable evaluation pipelines for vision and multimodal models.
• Contribute to model observability, drift detection, and error classification.
• Fine-tune and optimize open-source VLMs for efficiency and robustness.
• Build Multi-VectorRAG pipelines with vector DBs and knowledge graphs.
• Create embedding-based memory and retrieval chains with efficient chunking.

Skills

Python

PyTorch

Computer vision

Video understanding

VLMs

MLOps

Multi-GPU

Education

Master’s/Ph.D. in CS/AI/ML/Robotics

Tools

HuggingFace

DeepSpeed

vLLM

FSDP

LoRA/QLoRA

LangChain

Pinecone

FAISS

OpenSearch

AWS

Job description

FieldAI in Irvine develops Field Foundation Models powering autonomous robots with multimodal data. The AI/ML Engineer will drive research and model development across CV, VLMs, and long-memory video analysis, emphasizing agentic AI and memory-enabled retrieval.

You will curate datasets, fine-tune models, and deploy them into production, contributing to perception and insight-generation initiatives across FieldAI.