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Multimodal Jobs (NOW HIRING)

DeepRec.ai

Multimodal LLM Researcher

Palo Alto, CA · On-site +1

Multimodal LLM Researcher $300,000 - $400,000 Remote, Palo Alto Full-time / Permanent DeepRec has partnered with a high-growth generative AI company (Series B, $130M raised). They're building ...

DEEPREC.AI

Multimodal LLM Researcher

Palo Alto, CA · On-site

$300K - $400K/yr

Multimodal LLM Researcher $300,000 - $400,000 Remote, Palo Alto Full-time / Permanent DeepRec has partnered with a high-growth generative AI company (Series B, $130M raised). They're building ...

Pika

Multimodal LLM Researcher (MLLM)

Palo Alto, CA · On-site

$185K - $400K/yr

Multimodal LLM Researcher (MLLM) About the Role At Pika, we are pioneering next-generation creative infrastructure built around real-time, multimodal generation and intelligent, agentic platforms. We ...

PIKA Inc

Multimodal LLM Researcher (MLLM)

Palo Alto, CA · On-site +1

Multimodal LLM Researcher (MLLM) About the Role At Pika, we are pioneering next-generation creative infrastructure built around real-time, multimodal generation and intelligent, agentic platforms. We ...

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

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

$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 ...

CDM Smith

Transportation Engineer 5-Multimodal

Nashville, TN · On-site

$74K - $99K/yr

We're looking for a Transportation Engineer who enjoys taking complete streets and multimodal projects from concept to construction. This role is ideal for an engineer with strong PS&E delivery ...

FieldAI

Agentic AI/ML Engineer, Multimodal

Irvine, CA · On-site

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 ...

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Showing results 1-20

All JobsMultimodal Jobs

Multimodal information

See salary details

$55K

$87.8K

$118K

How much do multimodal jobs pay per year?

As of Jun 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 June 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $87,833 per year, or $42.2 per hour.

Multimodal LLM Researcher

DeepRec.ai

Palo Alto, CA • On-site, Remote

Other

Posted 14 days ago

Job description

Multimodal LLM Researcher
$300,000 - $400,000
Remote, Palo Alto
Full-time / Permanent
DeepRec has partnered with a high-growth generative AI company (Series B, $130M raised). They're building multimodal, multi-agent systems that combine language, vision, audio, and video. If you've been looking for a role where your research reaches production and shapes how millions interact with creative AI, this is worth a closer look.
You'll help define the next generation of multimodal AI systems. Your work will span research, experimentation, and deployment, with a focus on real-time performance, multimodal reasoning, and agent-based workflows. You'll have the freedom to explore ambitious ideas while working alongside engineers who can bring them into production.
What You'll Do
  • Lead research across LLMs, VLMs, and Audio Language Models
  • Design novel multimodal model architectures and training approaches
  • Improve real-time inference across text, image, audio, and video
  • Train and fine-tune autoregressive and diffusion models
  • Build and curate high-quality multimodal datasets
  • Collaborate with engineering teams to deploy research outcomes
  • Publish findings at leading AI conferences and journals

What You'll Bring

Essential
  • Strong research track record in multimodal AI or foundation models
  • First-author publications at recognised ML, vision, or audio conferences
  • Deep expertise in LLMs, VLMs, Audio LMs, or related fields
  • Strong Python and deep learning experience using modern frameworks

Desirable
  • Experience with diffusion models or world models
  • Background in real-time AI systems and model serving
  • Experience building large-scale multimodal datasets

We encourage you to apply even if you don't meet every requirement. The right mindset matters as much as the right CV.
What's In It For You
  • USD 300,000-400,000 salary
  • Fully remote working arrangement
  • Ownership of research that shapes production systems
  • Opportunity to publish and contribute to the field
  • Direct collaboration with product and engineering leadership

This role offers the chance to work on multimodal AI problems that sit at the intersection of research and real-world deployment. If you're excited by advancing the field while seeing your work reach users, we'd love to hear from you.

Apply