ZipRecruiter

Log In

1

Embodied Ai Jobs in Riverside, CA (NOW HIRING)

FieldAI

Agentic AI/ML Engineer, Multimodal

Irvine, CA · On-site

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable ...

FieldAI

Agentic AI/ML Engineer, Multimodal

Irvine, CA · On-site

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable ...

Field AI

Project Manager

Irvine, CA · On-site

$130K - $200K/yr

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable ...

FieldAI

AI Solutions Engineer (Fixed-Term)

Irvine, CA · On-site

$35 - $50/hr

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable ...

FieldAI

AI Solutions Engineer (Fixed-Term)

Irvine, CA · On-site

$35 - $50/hr

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable ...

FieldAI

Network Solutions Engineer

Irvine, CA · On-site

$120 - $160/hr

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable ...

AI Chopping Block

Principal Robotics Engineer

Irvine, CA · On-site

$150 - $230/hr

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable ...

FieldAI

Software Engineer, DevOps

Irvine, CA · On-site

$56 - $76.75/hr

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. They are seeking a highly motivated DevOps Engineer to help build and scale the infrastructure ...

next page

Showing results 1-20

All JobsEmbodied Ai JobsEmbodied Ai Jobs in Riverside, CA

Embodied Ai information

See Riverside, CA salary details

$10

$61

$86

How much do embodied ai jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for embodied ai in Riverside, CA is $61.25, according to ZipRecruiter salary data. Most workers in this role earn between $54.90 and $71.20 per hour, depending on experience, location, and employer.

What is embodied AI?

Embodied AI refers to artificial intelligence systems that are integrated into physical entities, such as robots, which can perceive, act, and interact with the real world. Unlike traditional AI, which operates purely in digital environments, Embodied AI enables machines to understand and respond to their surroundings through sensors and actuators. This field combines elements of robotics, computer vision, natural language processing, and machine learning to create agents that can learn from their experiences and adapt to new tasks. Embodied AI is used for applications like autonomous vehicles, service robots, and interactive agents.

What are the common challenges faced by professionals working in embodied AI roles?

Professionals in Embodied AI often encounter challenges related to integrating physical hardware with complex AI algorithms. This can include troubleshooting issues between sensors, actuators, and software to ensure smooth real-world operation. Additionally, working in multidisciplinary teams—combining robotics, computer vision, and machine learning—requires strong collaboration and communication skills. Staying up-to-date with rapid advancements and testing models in unpredictable, real-world environments are also key aspects of the role.

What are the key skills and qualifications needed to thrive as an embodied AI engineer, and why are they important?

To thrive as an Embodied AI Engineer, you need a strong background in robotics, computer vision, machine learning, and programming languages such as Python or C++. Familiarity with robotics middleware (like ROS), simulation tools (such as Gazebo or PyBullet), and relevant AI frameworks is typically required, along with advanced degrees in computer science or engineering often preferred. Creative problem-solving, teamwork, and effective communication are key soft skills that set candidates apart in this interdisciplinary field. These skills and qualities are essential for developing intelligent systems that can physically interact with the world and adapt to complex, real-world environments.

What is the difference between Embodied Ai vs Robotics Engineer?

AspectEmbodied AiRobotics Engineer
Required CredentialsDegree in AI, Computer Science, or related fieldsDegree in Robotics, Mechanical, or Electrical Engineering
Work EnvironmentResearch labs, AI development firms, tech companiesManufacturing plants, research labs, engineering firms
Industry UsageAI-driven applications, virtual agents, autonomous systemsPhysical robot design, automation, hardware integration
Common Search/ComparisonFocuses on AI embodiment in virtual or physical agentsFocuses on hardware and mechanical aspects of robots

Embodied Ai primarily involves developing AI systems that can operate within physical or virtual agents, emphasizing AI algorithms and interaction. Robotics Engineers focus on designing and building physical robots, integrating hardware and software. While both roles overlap in AI and robotics, Embodied Ai centers on AI behavior within agents, whereas Robotics Engineers work on the physical construction and mechanics of robots.

What job categories do people searching Embodied Ai jobs in Riverside, CA look for?

The top searched job categories for Embodied Ai jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Embodied Ai jobs?

Cities near Riverside, CA with the most Embodied Ai job openings:

Embodied Ai jobs near you
Infographic showing various Embodied Ai job openings in Riverside, CA as of August 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $127,407 per year, or $61.3 per hour.

Agentic AI/ML Engineer, Multimodal

FieldAI

Irvine, CA

Full-time

Re-posted 13 days ago

Job description

FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.

Who are We?
 
Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at https://fieldai.com.
 
About the Job
 
Our Field Foundation Model (FFM) powers a global fleet of autonomous robots that capture massive streams of multimodal data across diverse, dynamic environments every day. As part of the Insight Team our mission is to transform this raw, multimodal data into actionable insights that empower our customers and engineers to deliver value. Field-insight Foundation Model (FiFM) is at the core of how we transform multimodal data from autonomous robots into actionable insights. As an AI/ML Engineer on the FiFM team, you will drive research and model development for one of Field AI’s most ambitious initiatives. Your work will span computer vision, vision-language models (VLMs), multimodal scene understanding, and long-memory video analysis and search, with a strong emphasis on agentic AI (tool use, memory, multimodal retrieval-augmented generation).This is a full-cycle ML role: you’ll curate datasets, fine-tune and evaluate models, optimize inference, and deploy them into production. It’s a blend of applied research and engineering, requiring creativity, rapid experimentation, and rigorous problem-solving. While FiFM is your primary focus, you’ll also contribute to broader perception and insight-generation initiatives across Field AI.
What You’ll Get To Do:
  • 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.
What You Have:
  • 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.
The Extras That Set You Apart:
  • 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.
Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.
 
Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.
 
Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.
 
Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.
 
We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.