ML Engineer - Creator Studio
$171K - $302K/yr
Experience delivering products in Multimodal-LLMs/Foundation models, Generative AI, Machine Learning or related areas Proven track record in training, evaluating, and deploying multimodal large ...
ML Engineer - Creator Studio
$171K - $302K/yr
Experience delivering products in Multimodal-LLMs/Foundation models, Generative AI, Machine Learning or related areas Proven track record in training, evaluating, and deploying multimodal large ...
IT - Senior Technology Architect | Cloud Platform | Google Machine Learning
Irving, TX · On-site
$60.25 - $76.75/hr
Job Title: Senior Technology Architect | Cloud Platform | Google Machine Learning Work Location ... Design and implement Generative AI models for text, image, or multimodal applications. Develop ...
IT - Senior Technology Architect | Cloud Platform | Google Machine Learning
Irving, TX · On-site
$60.25 - $76.75/hr
Job Title: Senior Technology Architect | Cloud Platform | Google Machine Learning Work Location ... Design and implement Generative AI models for text, image, or multimodal applications. Develop ...
Nursing AD Instructor
Austin, TX · On-site
$24K - $52K/mo
The instructor may be assigned to teach in a traditional classroom, a virtual (online) classroom, or both (multimodal). Activities related to comprehensive community college teaching and learning ...
Nursing AD Instructor
Austin, TX · On-site
$24K - $52K/mo
The instructor may be assigned to teach in a traditional classroom, a virtual (online) classroom, or both (multimodal). Activities related to comprehensive community college teaching and learning ...
Senior Software Engineer (AI Applications)
Dallas, TX · On-site +1
$112K - $148K/yr
... redefine user interaction and learning outcomes. * Generative AI Integration: Seamlessly ... Expertly leverage Large Language Models (LLMs) and multimodal models to deliver highly intelligent ...
Senior Software Engineer (AI Applications)
Dallas, TX · On-site +1
$112K - $148K/yr
... redefine user interaction and learning outcomes. * Generative AI Integration: Seamlessly ... Expertly leverage Large Language Models (LLMs) and multimodal models to deliver highly intelligent ...
... on multimodal sensing-the integration of multiple sensor types, with a particular focus on ... MSS-AUG: Using AI (e.g., cross-domain generative learning) to streamline and automate the ...
... on multimodal sensing-the integration of multiple sensor types, with a particular focus on ... MSS-AUG: Using AI (e.g., cross-domain generative learning) to streamline and automate the ...
POSTDOCTORAL RESEARCHER, Pouratian Lab, Neurological Surgery [Req#: 945227, Position#: 122818]
Dallas, TX · On-site
Projects integrate multimodal data sources, including physiology, imaging, and quantitative ... Experience with machine learning and circuit level analytics and modeling is preferred. Proven ...
POSTDOCTORAL RESEARCHER, Pouratian Lab, Neurological Surgery [Req#: 945227, Position#: 122818]
Dallas, TX · On-site
Projects integrate multimodal data sources, including physiology, imaging, and quantitative ... Experience with machine learning and circuit level analytics and modeling is preferred. Proven ...
Graduate Employee- Dept of Computer Science- Graduate Research Assistant (2 Positions Available)
Huntsville, TX · On-site
... on multimodal sensing-the integration of multiple sensor types, with a particular focus on ... MSS-AUG: Using AI (e.g., cross-domain generative learning) to streamline and automate the ...
Graduate Employee- Dept of Computer Science- Graduate Research Assistant (2 Positions Available)
Huntsville, TX · On-site
... on multimodal sensing-the integration of multiple sensor types, with a particular focus on ... MSS-AUG: Using AI (e.g., cross-domain generative learning) to streamline and automate the ...
Gen AI Engineer
$40 - $50/hr
... multimodal models, and retrieval-augmented generation (RAG). * Fine-tune foundation models using domain-specific data. * Implement prompt engineering, instruction tuning, and reinforcement learning ...
Quick apply
Gen AI Engineer
$40 - $50/hr
... multimodal models, and retrieval-augmented generation (RAG). * Fine-tune foundation models using domain-specific data. * Implement prompt engineering, instruction tuning, and reinforcement learning ...
Lead Gen AI Engineer
$85 - $110/hr
... multimodal models, and retrieval-augmented generation (RAG). * Fine-tune foundation models using domain-specific data. * Implement prompt engineering, instruction tuning, and reinforcement learning ...
Quick apply
Lead Gen AI Engineer
$85 - $110/hr
... multimodal models, and retrieval-augmented generation (RAG). * Fine-tune foundation models using domain-specific data. * Implement prompt engineering, instruction tuning, and reinforcement learning ...
AI/ML Engineer
Irving, TX · On-site
Design, develop, and deploy machine learning and generative AI solutions for business applications ... Knowledge of multimodal AI applications. * Exposure to model serving frameworks such as TorchServe ...
AI/ML Engineer
Irving, TX · On-site
Design, develop, and deploy machine learning and generative AI solutions for business applications ... Knowledge of multimodal AI applications. * Exposure to model serving frameworks such as TorchServe ...
Applied Researcher 1
Austin, TX · On-site
Develop and fine-tune machine learning models for listing quality improvement. Design, train, and optimize AI models, including BERT-based NER systems and multimodal classification frameworks, to ...
Applied Researcher 1
Austin, TX · On-site
Develop and fine-tune machine learning models for listing quality improvement. Design, train, and optimize AI models, including BERT-based NER systems and multimodal classification frameworks, to ...
POSTDOCTORAL RESEARCHER - Data Science and AI Core for Population Research - Xiao Lab [Req#: 9313...
Dallas, TX · On-site
Responsibilities include designing and implementing machine learning and deep learning models for ... support multimodal data integration, and contribute to scientific manuscripts and grant reports.
POSTDOCTORAL RESEARCHER - Data Science and AI Core for Population Research - Xiao Lab [Req#: 9313...
Dallas, TX · On-site
Responsibilities include designing and implementing machine learning and deep learning models for ... support multimodal data integration, and contribute to scientific manuscripts and grant reports.
Lead Robotics Data Engineer
$110K - $130K/yr
... multimodal human task data. We are building the operation that solves that. The Lead Robotics Data ... Imitation learning / robot learning pipeline experience * Human teleoperation system operation
Lead Robotics Data Engineer
$110K - $130K/yr
... multimodal human task data. We are building the operation that solves that. The Lead Robotics Data ... Imitation learning / robot learning pipeline experience * Human teleoperation system operation
Lead Robotics Data Engineer
$110K - $130K/yr
... multimodal human task data. We are building the operation that solves that. The Lead Robotics Data ... Imitation learning / robot learning pipeline experience * Human teleoperation system operation
Lead Robotics Data Engineer
$110K - $130K/yr
... multimodal human task data. We are building the operation that solves that. The Lead Robotics Data ... Imitation learning / robot learning pipeline experience * Human teleoperation system operation
Lead Robotics Data Engineer
$110K - $130K/yr
... multimodal human task data. We are building the operation that solves that. The Lead Robotics Data ... Imitation learning / robot learning pipeline experience * Human teleoperation system operation
Lead Robotics Data Engineer
$110K - $130K/yr
... multimodal human task data. We are building the operation that solves that. The Lead Robotics Data ... Imitation learning / robot learning pipeline experience * Human teleoperation system operation
Gen AI Tech Lead
Westlake, TX · On-site
... multimodal models, and MLOps. * Drive experimentation with new models, prompt engineering, and ... Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a ...
Quick apply
Gen AI Tech Lead
Westlake, TX · On-site
... multimodal models, and MLOps. * Drive experimentation with new models, prompt engineering, and ... Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a ...
The AI / ML Engineer will develop and deploy machine learning algorithms to analyze multi-sensor ... multimodal sensor data frameworks. • Prior work in a product or R&D environment with multi ...
New
The AI / ML Engineer will develop and deploy machine learning algorithms to analyze multi-sensor ... multimodal sensor data frameworks. • Prior work in a product or R&D environment with multi ...
New
... multimodal models, and MLOps. • Drive experimentation with new models, prompt engineering, and ... Learning, or a related field (PhD preferred). • 10+ years of experience in AI/ML, with at least ...
Quick apply
... multimodal models, and MLOps. • Drive experimentation with new models, prompt engineering, and ... Learning, or a related field (PhD preferred). • 10+ years of experience in AI/ML, with at least ...
... multimodal models, and MLOps. * Drive experimentation with new models, prompt engineering, and ... Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a ...
Quick apply
... multimodal models, and MLOps. * Drive experimentation with new models, prompt engineering, and ... Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a ...
AI Model Lead
Austin, TX · On-site
$210K - $235K/yr
... and multimodal systems. * Lead development, training, and optimization of advanced models using stateoftheart deep learning and distributed training techniques. * Drive crossorg alignment by ...
AI Model Lead
Austin, TX · On-site
$210K - $235K/yr
... and multimodal systems. * Lead development, training, and optimization of advanced models using stateoftheart deep learning and distributed training techniques. * Drive crossorg alignment by ...
Multimodal Learning information
What is multimodal learning?
Multimodal learning is an area of machine learning that involves integrating and processing information from multiple types of data, such as text, images, audio, and video. The goal is to create models that can understand and make predictions based on more than one data modality, similar to how humans use various senses. This approach is used in applications like speech recognition with visual cues, image captioning, and video analysis. By combining different data types, multimodal learning systems can achieve better accuracy and more robust understanding.
What is the difference between Multimodal Learning vs Data Scientist?
| Aspect | Multimodal Learning | Data Scientist |
|---|---|---|
| Required Credentials | Advanced degrees in AI, Machine Learning, or Computer Science | Bachelor's or Master's in Data Science, Statistics, or related fields |
| Work Environment | Research labs, AI development teams, academia | Business, tech companies, analytics teams |
| Industry Usage | AI research, multimedia applications, robotics | Data analysis, predictive modeling, business insights |
Multimodal Learning focuses on developing AI models that process and integrate multiple data types like images, text, and audio. Data Scientists analyze data to extract insights, build models, and support decision-making. While both roles involve data and algorithms, Multimodal Learning is specialized in AI model development for complex data integration, whereas Data Scientists work broadly across data analysis and interpretation.
What are the key skills and qualifications needed to thrive as a Multimodal Learning Specialist, and why are they important?
To excel as a Multimodal Learning Specialist, you need a solid background in machine learning, data science, and computer vision, often supported by an advanced degree in a related field. Familiarity with deep learning frameworks like TensorFlow or PyTorch, experience integrating data from diverse sources (e.g., text, audio, images), and knowledge of relevant algorithms are crucial. Strong problem-solving abilities, creativity, and effective collaboration are standout soft skills for this role. These competencies are vital for developing innovative models that can process and interpret complex, multi-source data to drive impactful AI solutions.
What are some common challenges faced by professionals working in multimodal learning roles, and how can they be addressed?
Professionals in multimodal learning frequently encounter challenges related to integrating and aligning data from multiple sources, such as text, images, audio, or video. Ensuring data quality and consistency across modalities can be complex, and developing models that effectively combine heterogeneous information often requires advanced technical skills and innovative thinking. Collaboration with domain experts and other data scientists is key to overcoming these obstacles, as is staying up to date with the latest research and tools in machine learning. Regular team meetings and cross-disciplinary workshops can help foster a collaborative environment and promote knowledge sharing.
What are popular job titles related to Multimodal Learning jobs in Texas? For Multimodal Learning jobs in Texas, the most frequently searched job titles are:
- Quantitative Finance Internships Summer 2026
- Summer Internship Phd Student
- Internship Narrative Writer
- Internship Edge Ai Machine Learning
- Part Time Sql Database Internship
- Summer Internship Artificial Intelligence Engineer
- Bioinformatics Summer Internship
- Internship Cyber Security Architect
- Intern Peoplesoft Campus Solutions
- Intern Summer Nurse Externship
What job categories do people searching Multimodal Learning jobs in Texas look for? The top searched job categories for Multimodal Learning jobs in Texas are:
What cities in Texas are hiring for Multimodal Learning jobs? Cities in Texas with the most Multimodal Learning job openings:
$171K - $302K/yr
Full-time
Medical, Dental, Retirement
Posted 4 days ago
Apple rating
8.1
Based on 661 frontline employees who took The Breakroom Quiz
6th of 30 rated technology retailers
Job description
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something - you’ll add something.
This is a great opportunity to be an early member of a new engineering team on a highly visible, highly impactful project! You will be deeply involved in developing new and innovative on-device ML and AI tools in the creative space. You will work with human interface designers, quality assurance teams, and cross-functional engineering teams to go beyond code and influence everything from user interfaces to project planning.
Description
The Creator Studio team is seeking a highly skilled ML Engineer with hands-on experience working on AI and creative tools. As an ML Engineer, you will play a key role in defining and implementing key agentic AI features in our Creator Studio applications.
Preferred Qualifications
Experience with Core ML, Swift, and iOS/macOS machine learning development.
Experience with Apple platforms including iOS and macOS.
Experience optimizing models and algorithms that run efficiently on resource constrained platforms
Strong patent and publication record at top conferences
Experience building APIs or frameworks.
Experience building AI tools or working on AI-adjacent projects.
Experience with the latest Swift technologies.
Experience working with media storage and playback.
Experience as a technical lead.
Minimum Qualifications
5+ years of proven experience developing and shipping reliable, scalable, maintainable, and testable code.
Experience delivering products in Multimodal-LLMs/Foundation models, Generative AI, Machine Learning or related areas
Proven track record in training, evaluating, and deploying multimodal large language models / foundational models
Strong programming skills in Python and/or C++ and one of the deep learning toolkits such as PyTorch, JAX, or Tensorflow
Ability to work effectively in a fast-paced environment and manage multiple priorities.
Strong communication, collaboration, and project management skills with the ability to articulate technical concepts to both technical and non-technical stakeholders.
Bachelor’s Degree in Computer Science or equivalent experience.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
This is a great opportunity to be an early member of a new engineering team on a highly visible, highly impactful project! You will be deeply involved in developing new and innovative on-device ML and AI tools in the creative space. You will work with human interface designers, quality assurance teams, and cross-functional engineering teams to go beyond code and influence everything from user interfaces to project planning.
Description
The Creator Studio team is seeking a highly skilled ML Engineer with hands-on experience working on AI and creative tools. As an ML Engineer, you will play a key role in defining and implementing key agentic AI features in our Creator Studio applications.
Preferred Qualifications
Experience with Core ML, Swift, and iOS/macOS machine learning development.
Experience with Apple platforms including iOS and macOS.
Experience optimizing models and algorithms that run efficiently on resource constrained platforms
Strong patent and publication record at top conferences
Experience building APIs or frameworks.
Experience building AI tools or working on AI-adjacent projects.
Experience with the latest Swift technologies.
Experience working with media storage and playback.
Experience as a technical lead.
Minimum Qualifications
5+ years of proven experience developing and shipping reliable, scalable, maintainable, and testable code.
Experience delivering products in Multimodal-LLMs/Foundation models, Generative AI, Machine Learning or related areas
Proven track record in training, evaluating, and deploying multimodal large language models / foundational models
Strong programming skills in Python and/or C++ and one of the deep learning toolkits such as PyTorch, JAX, or Tensorflow
Ability to work effectively in a fast-paced environment and manage multiple priorities.
Strong communication, collaboration, and project management skills with the ability to articulate technical concepts to both technical and non-technical stakeholders.
Bachelor’s Degree in Computer Science or equivalent experience.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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