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60 Fieldai Operations Jobs Hiring Near You

FieldAI

Field Data Analyst

Irvine, CA · On-site

FieldAI is transforming how robots interact with the real world by building risk-aware AI systems ... operational data is accurate and actionable. Responsibilities : • Validate mission datasets ...

FieldAI

Infrastructure Security Engineer

Irvine, CA

$153K/yr

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field ... Conduct threat modeling and security reviews across infrastructure and operational systems

FieldAI

Infrastructure Security Engineer

Irvine, CA

$153K/yr

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field ... Conduct threat modeling and security reviews across infrastructure and operational systems

FieldAI

Field Service Engineer - Irvine, CA

Irvine, CA · On-site

... FieldAI standards. * Manage inbound and outbound logistics requests from internal teams, including robot shipments, spare parts, tools, and field-service equipment. * Coordinate with operations ...

FieldAI

Senior Product Designer

Irvine, CA · On-site

$125K - $185K/yr

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field ... operations into clear, elegant industrial workflows * Design data products that communicate value ...

FieldAI

Senior Product Designer

Irvine, CA

$125K - $185K/yr

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field ... operations into clear, elegant industrial workflows * Design data products that communicate value ...

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    Infographic showing various Operations job openings at Fieldai in the United States as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 6% Part Time, and 3% Temporary. Highlights an 95% Physical, and 5% Remote job distribution.

    1.68 Agentic AI/ML Engineer - Multimodal

    FieldAI

    Irvine, CA • On-site

    Full-time

    Re-posted 22 days ago

    Job description

    Job Summary:
    FieldAI is transforming how robots interact with the real world. As an AI/ML Engineer on the FiFM team, you will drive research and model development for multimodal data from autonomous robots into actionable insights, focusing on computer vision and agentic AI.
    Responsibilities:
    • Train and fine-tune million- to billion-parameter multimodal models, with a focus on computer vision, video understanding, and vision-language integration.
    • Track state-of-the-art research, adapt novel algorithms, and integrate them 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 and multimodal embedding models for efficiency and robustness.
    • Build and optimize Multi-VectorRAG pipelines with vector DBs and knowledge graphs.
    • Create embedding-based memory and retrieval chains with token-efficient chunking strategies.
    Qualifications:
    Required:
    • Master’s/Ph.D. in Computer Science, AI/ML, Robotics, or equivalent industry experience.
    • 2+ years of industry experience or relevant 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.
    • Knowledge of precision tradeoffs (FP16, bfloat16, quantization) and multi-GPU optimization.
    • Ability to design scalable evaluation pipelines for vision/VLMs and agent performance.
    Preferred:
    • Experience with Agentic/RAG pipelines and knowledge graphs (LangChain, LangGraph, LlamaIndex, OpenSearch, FAISS, Pinecone).
    • Familiarity with agent operations logging and evaluation frameworks.
    • Background in optimization: token cost reduction, chunking strategies, reranking, and retrieval latency tuning.
    • Experience deploying models under quantized (int4/int8) and distributed multi-GPU inference.
    • Exposure to open-vocabulary detection, zero/few-shot learning, multimodal RAG.
    • Knowledge of temporal-spatial modeling (event/scene graphs).
    • Experience deploying AI in edge or resource-constrained environments.
    Company:
    FieldAI is building general robot intelligence for the physical world. Founded in 2023, the company is headquartered in Mission Viejo, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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