1

Ai Video Jobs in Riverside, CA (NOW HIRING)

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 ...

The ideal candidate combines strong technical photo/video skills with an efficient, modern workflow, including the use of AI tools to speed up editing, retouching, and content production without ...

Responsibilities will include working with data from continuous streams of invasive and non-invasive sensors, electronic medical records as well as speech/audio and image/video. The Sr Engineer, AI ...

Responsibilities will include working with data from continuous streams of invasive and non-invasive sensors, electronic medical records as well as speech/audio and image/video. The Sr Engineer, AI ...

Showing results 21-40

Ai Video information

See Riverside, CA salary details

$26.1K

$77.9K

$167.4K

How much do ai video jobs pay per year?

As of Aug 11, 2026, the average yearly pay for ai video in Riverside, CA is $77,855.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,900.00 and $98,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the ai video position, and why are they important?

To thrive in an AI Video role, you need strong expertise in video editing, machine learning, and computer vision concepts, typically supported by a degree in computer science, media technology, or a related field. Familiarity with AI-driven video platforms, editing software (like Adobe Premiere or Final Cut), and frameworks such as TensorFlow or OpenCV is essential. Creative problem-solving, adaptability, and effective collaboration are key soft skills for excelling in multidisciplinary environments. These abilities enable you to deliver innovative video solutions, stay current with evolving technologies, and work efficiently within a team.

What is an ai video?

An AI Video job involves creating, editing, or enhancing videos using artificial intelligence technologies. This can include automating video production, utilizing deep learning models for effects, or optimizing video content with AI-driven analytics. Professionals in this field work with AI tools for tasks like deepfake generation, motion tracking, or real-time video enhancement. The role may also involve developing AI-driven scripts or workflows to streamline video production. AI Video specialists often collaborate with designers, developers, and content creators to produce high-quality visual content.

What types of projects do professionals in ai video roles typically work on?

AI Video professionals often work on projects involving automated video editing, content recommendation systems, facial recognition, scene detection, and video analytics for sectors like media, advertising, or e-learning. Daily responsibilities might include developing and testing AI models, integrating new video features, or collaborating with designers, developers, and content creators to deploy intelligent video solutions. These projects can range from enhancing user engagement on streaming platforms to automating post-production workflows. The role offers opportunities to innovate with cutting-edge technology and contribute to impactful media experiences.

What are the most commonly searched types of Ai Video jobs in Riverside, CA? The most popular types of Ai Video jobs in Riverside, CA are:
What are popular job titles related to Ai Video jobs in Riverside, CA? For Ai Video jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Ai Video jobs in Riverside, CA look for? The top searched job categories for Ai Video jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Ai Video jobs? Cities near Riverside, CA with the most Ai Video job openings:
Infographic showing various Ai Video job openings in Riverside, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $77,855 per year, or $37.4 per hour.

Agentic AI/ML Engineer, Multimodal

FieldAI

Irvine, CA • On-site

Full-time

Re-posted 19 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.
apply for this job