AI Research Scientist, Multimodal Generation Job at Meta

Research Scientist - Generative AI

This role involves conducting high-quality research in generative AI, designing ...

Location

United States

Salary:

101900.00 - 234500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Artificial Intelligence, Machine Learning, Physics, Mathematics, or other related fields
3-5 years working experience with training and fine-tuning generative AI models including LLMs, diffusion models, or Energy-Based Models
Proven track record of research in generative models, demonstrated through publications, patents, or publicly available projects
Proficiency in programming languages commonly used in AI research, such as Python, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch)
Deep understanding of machine learning algorithms and principles, especially in the context of generative AI
Strong mathematical background, with excellent skills in areas such as statistics, probability, linear algebra
Creative and analytical thinking abilities, with a passion for solving complex problems
Excellent communication skills, capable of conveying complex ideas clearly and engaging with both technical and non-technical audiences

Job Responsibility

Conduct high-quality research in generative AI, including but not limited to designing algorithms for pre-training and post-training current autoregressive and diffusion models for multimodal data
Design, implement, and validate new algorithms and models for augmented LLMs, pushing the boundaries of AI capabilities
Developing and prototyping novel algorithms for fine-turning, retrieval augmented generation, and in-context learning for various generative models
Developing algorithms for training and inference in Energy-Based Models
Collaborate with cross-functional teams to apply research findings to develop new products or enhance existing ones
Publish research papers in top-tier journals and conferences, sharing findings with the broader scientific community
Stay abreast of the latest AI research and trends, identifying opportunities for innovation and improvement
Mentor junior researchers and engineers, fostering a culture of knowledge sharing and collaboration
Develop prototypes and proof-of-concept implementations to demonstrate the potential of research findings
Engage with the academic community by attending conferences, workshops, and seminars

What we offer

A competitive salary and extensive social benefits
Diverse and dynamic work environment
Work-life balance and support for career development
Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Research Scientist - Generative AI

As a Research Scientist in the Emergent Machine Intelligence Team at Hewlett Pac...

Location

United States , Santa Barbara

Salary:

101900.00 - 234500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Artificial Intelligence, Machine Learning, Physics, Mathematics, or other related fields
3-5 years working experience with training and fine-tuning generative AI models including LLMs, diffusion models, or Energy-Based Models
Proven track record of research in generative models, demonstrated through publications, patents, or publicly available projects
Proficiency in programming languages commonly used in AI research, such as Python, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch)
Deep understanding of machine learning algorithms and principles, especially in the context of generative AI
Strong mathematical background, with excellent skills in areas such as statistics, probability, linear algebra
Creative and analytical thinking abilities, with a passion for solving complex problems
Excellent communication skills, capable of conveying complex ideas clearly and engaging with both technical and non-technical audiences.

Job Responsibility

Conduct high-quality research in generative AI, including but not limited to designing algorithms for pre-training and post-training current autoregressive and diffusion models for multimodal data
Design, implement, and validate new algorithms and models for augmented LLMs, pushing the boundaries of AI capabilities
Developing and prototyping novel algorithms for fine-tuning, retrieval augmented generation, and in-context learning for various generative models
Developing algorithms for training and inference in Energy-Based Models
Collaborate with cross-functional teams to apply research findings to develop new products or enhance existing ones
Publish research papers in top-tier journals and conferences, sharing findings with the broader scientific community
Stay abreast of the latest AI research and trends, identifying opportunities for innovation and improvement
Mentor junior researchers and engineers, fostering a culture of knowledge sharing and collaboration
Develop prototypes and proof-of-concept implementations to demonstrate the potential of research findings
Engage with the academic community by attending conferences, workshops, and seminars.

What we offer

A competitive salary and extensive social benefits
Diverse and dynamic work environment
Work-life balance and support for career development.

Fulltime

Sr. Applied Research Scientist

We are building AI to simulate the world through merging art and science. We bel...

Location

United States

Salary:

280000.00 - 380000.00 USD / Year

Runway

Expiration Date

Until further notice

Requirements

4+ years of relevant ML engineering or research experience
Very strong programming skills and ability to write clean and maintainable research code
Deep interest in building human-in-the-loop systems for creativity
Passion for seeing research through from initial conception to eventual application
Experience mentoring and teaching other researchers
Strong communication, collaboration, and documentation skills

Job Responsibility

Lead efforts in pretraining the next generation of Runway’s multimodal models

Fulltime

Applied Research Lead, Generative Audio

We are building AI to simulate the world through merging art and science. We bel...

Location

United States

Salary:

280000.00 - 380000.00 USD / Year

Runway

Expiration Date

Until further notice

Requirements

4+ years of industry experience as a research scientist in multimodal, generative audio
Proven experience leading projects
High emotional intelligence and experience mentoring other researchers
Good understanding of how to communicate goals, drive the execution of projects, and inspire through others
Experience in translating product and business objectives into technical strategies
Deep interest in productionizing state of the art ML research

Job Responsibility

Lead a group of Runway's Applied ML Research team
Lead and drive the executions for new applied research projects
Work with the rest of the engineering organization to oversee the transition from research into production
Work with the Product team to initiate and work on projects that deliver clear user value

Fulltime

PhD AI Research Intern

Join our cutting-edge Machine Learning Research team at Atlassian as a PhD Resea...

Location

Canada

Salary:

55.00 USD / Hour

Atlassian

Expiration Date

Until further notice

Requirements

Completed Bachelors degree in Computer Science or a related field
Currently pursuing a PhD in Computer Science or a related field at any stage of your doctoral studies
Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques

Job Responsibility

Collaborate cross-functionally with Research Scientists and Machine Learning Engineers to design, implement, and evaluate experiments that advance the performance, efficiency, and scalability of modern ML and LLM systems for our AI products
Curate, preprocess, and manage large-scale datasets for training and evaluation, ensuring data quality, diversity, and reproducibility across experiments
Conduct continued training, fine-tuning, and alignment of large language models for specialized applications such as conversational AI, summarization, generative search, and multimodal agents
Evaluate cutting-edge ML algorithms through rigorous experimentation and provide detailed analyses highlighting performance insights, failure modes, and opportunities for improvement
Contribute to publications and presentations at internal workshops or top-tier academic venues, helping to drive innovation in Enterprise AI and large-scale ML systems

What we offer

health and wellbeing resources
paid volunteer days

PhD AI Research Intern

Join our cutting-edge Machine Learning Research team at Atlassian as a PhD Resea...

Location

United States , Seattle

Salary:

49.00 - 75.00 USD / Hour

Atlassian

Expiration Date

Until further notice

Requirements

Completed Bachelors degree in Computer Science or a related field
Currently pursuing a PhD in Computer Science or a related field at any stage of your doctoral studies
Degree completion date cannot be earlier than September 2026 - June 2027
Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques
Exhibit a solid grasp of algorithms and data structures
Demonstrate proficiency in Python programming and ability to write clean, efficient, and well-documented code
Experience working with large-scale datasets, including data preprocessing, augmentation, and scaling techniques
Has expertise in managing data using Python libraries such as NumPy, Pandas, Matplotlib, in addition to leveraging models from Hugging Face and has practical knowledge of applied machine learning and deep learning frameworks, like PyTorch
Demonstrated exposure to natural language processing (NLP) and Computer Vision (CV)
Familiarity with state-of-the-art research in machine learning and AI, as evidenced by relevant coursework, publications, or projects

Job Responsibility

Collaborate cross-functionally with Research Scientists and Machine Learning Engineers to design, implement, and evaluate experiments that advance the performance, efficiency, and scalability of modern ML and LLM systems for our AI products
Curate, preprocess, and manage large-scale datasets for training and evaluation, ensuring data quality, diversity, and reproducibility across experiments
Conduct continued training, fine-tuning, and alignment of large language models for specialized applications such as conversational AI, summarization, generative search, and multimodal agents
Evaluate cutting-edge ML algorithms through rigorous experimentation and provide detailed analyses highlighting performance insights, failure modes, and opportunities for improvement
Contribute to publications and presentations at internal workshops or top-tier academic venues, helping to drive innovation in Enterprise AI and large-scale ML systems

What we offer

health and wellbeing resources
paid volunteer days

Research Scientist / Engineer – Pre-training / Scaling

At Luma, the Pre-Training / Scaling team is responsible for building the core mu...

Location

United States , Palo Alto

Salary:

187500.00 - 395000.00 USD / Year

Luma AI

Expiration Date

Until further notice

Requirements

Expertise in Python and PyTorch with experience building ML models from scratch
Deep understanding of multimodal generative models and deep learning architectures
(Preferred) Strong research track record in generative AI with published work in top-tier venues preferred
(Preferred) Experience with large-scale distributed training systems

Job Responsibility

Lead cutting-edge research in multimodal foundation models spanning video, image, text, and audio
Design and implement novel algorithms, architectures, and techniques for large-scale generative AI models
Develop training methodologies for foundation models across thousands of GPUs
Research and implement state-of-the-art techniques in Autoregressive LLMs, Vision Language Models, and / or Diffusion Models
Collaborate with cross-functional teams to transition research into production systems

Fulltime

New

Research Scientist Intern, Multimodal Generative AI and Robotics

The research intern will work on cutting edge research problems to innovate nove...

Location

United States , Redmond

Salary:

7650.00 - 12134.00 USD / Month

AI Research Scientist, Multimodal Generation

Meta

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 23, 2026

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