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Multimodal Jobs (NOW HIRING)

Character.ai

Research Engineer, Multimodal

Redwood City, CA · On-site

$225K - $400K/yr

The Multimodal team is responsible for training, fine-tuning, and deploying cutting-edge image, audio and video generation models that power Character.AI's visual experiences. We work across the full ...

Tenet-AZ Region

Multimodal Technologist

Phoenix, AZ · On-site

Multimodal Technologist * Discipline: Allied Health Professional * Duration: Ongoing * 40 hours per week * Shift: 8 hours * Employment Type: Staff UP TO $15,000 Bonus!! Position Summary Performs a ...

Hark

Member of Technical Staff, Multimodal

San Jose, CA · On-site

$180K - $450K/yr

One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to ...

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Showing results 1-20

All JobsMultimodal Jobs

Multimodal information

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$55K

$87.8K

$118K

How much do multimodal jobs pay per year?

As of Jul 17, 2026, the average yearly pay for multimodal in the United States is $87,833.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $102,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Multimodal Transportation Planner, and why are they important?

To thrive as a Multimodal Transportation Planner, you need expertise in transportation planning, data analysis, and urban design, often backed by a degree in urban planning, civil engineering, or a related field. Familiarity with GIS software, transportation modeling tools, and relevant regulatory frameworks is essential. Strong communication, problem-solving, and stakeholder engagement skills help build consensus and manage complex projects. These abilities ensure effective, sustainable planning that integrates various transportation modes to meet community and environmental needs.

What are multimodal jobs?

Multimodal jobs refer to roles that involve the integration or management of multiple modes of communication, data, or transportation. In technology, multimodal jobs often relate to developing or working with systems that process and combine different input types, such as text, images, audio, and video, to enhance user experience or improve decision-making. In logistics, multimodal jobs may involve coordinating the movement of goods using various transport methods like rail, road, sea, and air. These positions require strong organizational and communication skills, as well as familiarity with the relevant technologies or supply chain processes.

What are some common challenges faced by professionals in multimodal roles, and how can they be addressed?

Professionals working in multimodal roles often encounter the challenge of integrating data from diverse sources, such as text, images, audio, and video, to develop unified solutions. Coordinating between multidisciplinary teams—such as data scientists, engineers, and domain experts—can also be complex due to varying priorities and communication styles. To address these challenges, it is helpful to establish clear project goals, maintain open channels of communication, and leverage standardized frameworks or tools for data integration. Continuous learning and cross-functional collaboration are also essential for staying current with evolving technologies and methodologies in this rapidly growing field.

What is the difference between Multimodal vs Transportation Coordinator?

AspectMultimodalTransportation Coordinator
CredentialsRelevant logistics certifications, knowledge of multiple transport modesLogistics or transportation certifications, industry experience
Work EnvironmentLogistics companies, freight forwarding, supply chain managementShipping companies, freight carriers, distribution centers
Industry UsageUsed in supply chain planning involving multiple transport modesFocuses on coordinating specific shipments within transportation networks

Multimodal professionals manage logistics involving various transportation modes like rail, sea, and road, ensuring seamless integration. Transportation Coordinators focus on organizing and tracking shipments within a specific mode or carrier. While both roles require logistics knowledge and coordination skills, Multimodal roles emphasize multi-mode planning, whereas Transportation Coordinators specialize in specific transportation segments.

More about Multimodal jobs
What cities are hiring for Multimodal jobs? Cities with the most Multimodal job openings:
What states have the most Multimodal jobs? States with the most job openings for Multimodal jobs include:
What job categories do people searching Multimodal jobs look for? The top searched job categories for Multimodal jobs are:
Multimodal jobs near you
Infographic showing various Multimodal job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, 2% Contract, and 1% Nights. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $87,833 per year, or $42.2 per hour.
AI Engineer - Multimodal Intelligence

AI Engineer - Multimodal Intelligence

Apple

Sunnyvale, CA • On-site

Full-time

Re-posted 20 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

Are you excited about the amazing potential of foundation models, LLMs, and multimodal LLMs? We are looking for individuals who thrive on collaboration and have a desire to push the boundaries of what is possible today! The VCV org is a centralized applied research and engineering organization responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. In the Human Intelligence team, we balance research and product to deliver Apple quality, pioneering experiences, innovating through the full stack, and partnering with HW, SW, and ML teams to influence the sensor and silicon roadmap that brings our vision to life.
Join us in this truly exciting era of Artificial Intelligence to help deliver the next groundbreaking Apple products & experiences! We are continuously advancing the state of the art in Computer Vision and Machine Learning, touching all aspects of multimodal LLMs, from data collection, data curation to modeling, evaluation and deployment. As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming research directions in the field of multimodal LLMs that will inspire future Apple products.
Description
We are seeking highly motivated and skilled engineers to join our Human Intelligence team. The ideal candidates will have strong backgrounds in developing and exploring capabilities of foundation models and agentic AI systems that enable natural, proactive and personalized human interactions. You will be responsible for multimodal LLM development including training, fine-tuning, agentic AI, and reasoning systems.
In this role, you will work on cutting-edge research and engineering problems, collaborating across teams and help shape the technical direction of multimodal and agentic AI systems from research to production. You will lead and contribute to the research roadmap for multimodal foundation models, identifying key opportunities for innovation in agentic AI and reasoning capabilities. You will design and implement agentic systems, and large-scale simulation and evaluation frameworks that can transition from research prototypes to production-grade technologies.
Minimum Qualifications
Master's or equivalent practical experience, in Computer Science, Computer Vision, Machine Learning, or related technical field.
3+ years of relevant academic or industry experience in Machine Learning, Computer Vision, or Artificial Intelligence.
Experience in deep learning with demonstrated work in multimodal systems (e.g. vision, language, video, etc.).
Proficiency in Python and in a modern deep learning framework such as PyTorch or JAX.
Experience with foundation models (language or multimodal), including training, fine-tuning, and deployment.
Experience developing, training, and fine-tuning multimodal LLMs.
Strong foundations in optimization, probability, and linear algebra as applied to machine learning and computer vision.
Preferred Qualifications
PhD, or equivalent practical experience, in Computer Science, Machine Learning, Computer Vision, or a related technical field with a focus on AI, machine learning, or computer vision.
Demonstrated expertise in developing, training, and fine-tuning multimodal LLMs at scale and developing industry scale agentic products.
Proven track record of technical leadership, including architecting complex ML systems and leading projects from conception to product deployment.
Experience applying foundation models to build autonomous or semi-autonomous agents, including planning, task decomposition, and multi-step reasoning.
Strong publication record in top-tier venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, COLM, etc.
Experience with large-scale distributed training and model parallelism.
Strong communication skills and ability to present research findings to both technical and non-technical audiences.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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