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 ...
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 ...
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 ...
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 ...
They are seeking a Research Engineer on the Multimodal team to build and advance video and image generation models, shaping the AI interactions of millions of users. Responsibilities : • Lead fine ...
They are seeking a Research Engineer on the Multimodal team to build and advance video and image generation models, shaping the AI interactions of millions of users. Responsibilities : • Lead fine ...
AI Engineer - Multimodal Intelligence
$150K - $277K/yr
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 ...
AI Engineer - Multimodal Intelligence
$150K - $277K/yr
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 ...
As a Research Engineer on the Multimodal team, you will build and advance video and image generation models that enhance user interactions with AI characters. Responsibilities : • Lead fine-tuning ...
As a Research Engineer on the Multimodal team, you will build and advance video and image generation models that enhance user interactions with AI characters. Responsibilities : • Lead fine-tuning ...
Medlivo is seeking a travel Multimodal Technologist for a travel job in Watsonville, California. & Requirements * Specialty: Multimodal Technologist * Discipline: Allied Health Professional
Medlivo is seeking a travel Multimodal Technologist for a travel job in Watsonville, California. & Requirements * Specialty: Multimodal Technologist * Discipline: Allied Health Professional
They are seeking an Engineering Manager to lead their multimodal API product suite, responsible for delivering innovative APIs across various modalities and building a high-performing engineering ...
They are seeking an Engineering Manager to lead their multimodal API product suite, responsible for delivering innovative APIs across various modalities and building a high-performing engineering ...
ProLink Allied is seeking a travel Multimodal Technologist for a travel job in Joshua Tree, California. & Requirements * Specialty: Multimodal Technologist * Discipline: Allied Health Professional
ProLink Allied is seeking a travel Multimodal Technologist for a travel job in Joshua Tree, California. & Requirements * Specialty: Multimodal Technologist * Discipline: Allied Health Professional
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 ...
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 ...
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 ...
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 ...
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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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 ...
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 ...
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 ...
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 ...
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 ...
We are actively seeking exceptional individuals who thrive in collaborative environments and are driven to push the boundaries of what is currently achievable with multimodal inputs and large ...
We are actively seeking exceptional individuals who thrive in collaborative environments and are driven to push the boundaries of what is currently achievable with multimodal inputs and large ...
Responsibilities : • Train and fine-tune million- to billion-parameter multimodal models, with a focus on computer vision, video understanding, and vision-language integration. • Track ...
Responsibilities : • Train and fine-tune million- to billion-parameter multimodal models, with a focus on computer vision, video understanding, and vision-language integration. • Track ...
Engineering Manager, Multimodal (API)
San Francisco, CA · On-site
$293K - $385K/yr
Through multimodal APIs-spanning real-time interactions, text-to-speech (TTS), speech generation, and image generation-we enable users to harness the full potential of diverse AI modalities ...
Engineering Manager, Multimodal (API)
San Francisco, CA · On-site
$293K - $385K/yr
Through multimodal APIs-spanning real-time interactions, text-to-speech (TTS), speech generation, and image generation-we enable users to harness the full potential of diverse AI modalities ...
Machine Learning Researcher, Multimodal LLMs
San Francisco, CA · On-site
$140K - $250K/yr
Machine Learning Researcher, Multimodal LLMs Location: San Francisco, CA or Remotes About Bland At Bland.com, our mission is to empower enterprises to build AI phone agents at scale. Voice is quickly ...
Machine Learning Researcher, Multimodal LLMs
San Francisco, CA · On-site
$140K - $250K/yr
Machine Learning Researcher, Multimodal LLMs Location: San Francisco, CA or Remotes About Bland At Bland.com, our mission is to empower enterprises to build AI phone agents at scale. Voice is quickly ...
We are seeking a talented Multimodal AI Systems Architect to develop and optimize AI systems that seamlessly integrate vision and audio models. This role focuses on enhancing our voice-to-voice ...
We are seeking a talented Multimodal AI Systems Architect to develop and optimize AI systems that seamlessly integrate vision and audio models. This role focuses on enhancing our voice-to-voice ...
The role involves joining the multimodal team to enhance multimodal intelligence and collaborate across various teams to deliver advanced capabilities in multimodal reasoning and human-AI ...
The role involves joining the multimodal team to enhance multimodal intelligence and collaborate across various teams to deliver advanced capabilities in multimodal reasoning and human-AI ...
The AIML Multimodal Foundation Model Team is pioneering next-generation intelligent agent technologies that combine multimodal reasoning, tool-use, and visual understanding. Our innovative features ...
The AIML Multimodal Foundation Model Team is pioneering next-generation intelligent agent technologies that combine multimodal reasoning, tool-use, and visual understanding. Our innovative features ...
Multimodal information
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?
| Aspect | Multimodal | Transportation Coordinator |
|---|---|---|
| Credentials | Relevant logistics certifications, knowledge of multiple transport modes | Logistics or transportation certifications, industry experience |
| Work Environment | Logistics companies, freight forwarding, supply chain management | Shipping companies, freight carriers, distribution centers |
| Industry Usage | Used in supply chain planning involving multiple transport modes | Focuses 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.
What are popular job titles related to Multimodal jobs in California? For Multimodal jobs in California, the most frequently searched job titles are:
- Internship Internship Sustainable Fashion
- Internship Pega Business Analyst
- Intern Geochemist
- Internship Mechanical Applications Engineer
- Government Contracting Internship
- Temporary Scientific Illustration Internships
- Internship Remote Bim Modeler
- Hourly Transportation Eit
- Internship Microsoft Access Database
- Internship Progress Developer
What job categories do people searching Multimodal jobs in California look for? The top searched job categories for Multimodal jobs in California are:
- Summer River Cruise Ship
- Internship Disney Central Shops
- Internship Cruise Ship Pharmacist
- Music Marketing Internship Remote
- Internship Visa Sponsorship Cyber Security
- Part Time Devops Internship
- Internship Transportation Provided
- Commission Private Equity Internship
- Publishing Intern
- Internship Visa Sponsorship Microbiology
What cities in California are hiring for Multimodal jobs? Cities in California with the most Multimodal job openings:
Apple rating
8.1
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.
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.
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