10,105 Language Models jobs in the United States
AI Research Scientist, VLLM (vision large language models)

Posted 3 days ago
Job Viewed
Job Description
-Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.-Work towards long-term ambitious research goals, while identifying intermediate milestones.-Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.-Work with a large team.-Contribute to publications and open-sourcing efforts.-Mentor other team members. Play a significant role in healthy cross-functional collaboration.-Prioritize research that can be applied to Meta's product development.
**Required Skills:**
AI Research Scientist, VLLM (vision large language models) Responsibilities:
1. Push state of the art in multimodal generative AI
2. Explore new techniques for advanced reasoning and multimodal understanding for AI Assistants
3. Mentor and work with AI/ML engineers to find a path from research to production
**Minimum Qualifications:**
Minimum Qualifications:
4. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
5. A PhD in AI, computer science, or related technical fields
6. Publications in machine learning, computer vision, NLP, speech
7. Experience writing software and executing complex experiments involving large AI models and datasets
8. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
**Preferred Qualifications:**
Preferred Qualifications:
9. First (joint) author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
10. Direct experience in generative AI and LLM research.
11. Fluent in Python and PyTorch (or equivalent)
**Public Compensation:**
$177,000/year to $251,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
AI Research Scientist, VLLM (vision large language models)

Posted 3 days ago
Job Viewed
Job Description
-Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.-Work towards long-term ambitious research goals, while identifying intermediate milestones.-Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.-Work with a large team.-Contribute to publications and open-sourcing efforts.-Mentor other team members. Play a significant role in healthy cross-functional collaboration.-Prioritize research that can be applied to Meta's product development.
**Required Skills:**
AI Research Scientist, VLLM (vision large language models) Responsibilities:
1. Push state of the art in multimodal generative AI
2. Explore new techniques for advanced reasoning and multimodal understanding for AI Assistants
3. Mentor and work with AI/ML engineers to find a path from research to production
**Minimum Qualifications:**
Minimum Qualifications:
4. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
5. A PhD in AI, computer science, or related technical fields
6. Publications in machine learning, computer vision, NLP, speech
7. Experience writing software and executing complex experiments involving large AI models and datasets
8. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
**Preferred Qualifications:**
Preferred Qualifications:
9. First (joint) author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
10. Direct experience in generative AI and LLM research.
11. Fluent in Python and PyTorch (or equivalent)
**Public Compensation:**
$177,000/year to $251,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
AI Research Scientist, VLLM (vision large language models)

Posted 2 days ago
Job Viewed
Job Description
-Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.-Work towards long-term ambitious research goals, while identifying intermediate milestones.-Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.-Work with a large team.-Contribute to publications and open-sourcing efforts.-Mentor other team members. Play a significant role in healthy cross-functional collaboration.-Prioritize research that can be applied to Meta's product development.
**Required Skills:**
AI Research Scientist, VLLM (vision large language models) Responsibilities:
1. Push state of the art in multimodal generative AI
2. Explore new techniques for advanced reasoning and multimodal understanding for AI Assistants
3. Mentor and work with AI/ML engineers to find a path from research to production
**Minimum Qualifications:**
Minimum Qualifications:
4. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
5. A PhD in AI, computer science, or related technical fields
6. Publications in machine learning, computer vision, NLP, speech
7. Experience writing software and executing complex experiments involving large AI models and datasets
8. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
**Preferred Qualifications:**
Preferred Qualifications:
9. First (joint) author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
10. Direct experience in generative AI and LLM research.
11. Fluent in Python and PyTorch (or equivalent)
**Public Compensation:**
$177,000/year to $251,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
AI Research Scientist, VLLM (vision large language models)

Posted 17 days ago
Job Viewed
Job Description
-Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.-Work towards long-term ambitious research goals, while identifying intermediate milestones.-Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.-Work with a large team.-Contribute to publications and open-sourcing efforts.-Mentor other team members. Play a significant role in healthy cross-functional collaboration.-Prioritize research that can be applied to Meta's product development.
**Required Skills:**
AI Research Scientist, VLLM (vision large language models) Responsibilities:
1. Push state of the art in multimodal generative AI
2. Explore new techniques for advanced reasoning and multimodal understanding for AI Assistants
3. Mentor and work with AI/ML engineers to find a path from research to production
**Minimum Qualifications:**
Minimum Qualifications:
4. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
5. A PhD in AI, computer science, or related technical fields
6. Publications in machine learning, computer vision, NLP, speech
7. Experience writing software and executing complex experiments involving large AI models and datasets
8. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
**Preferred Qualifications:**
Preferred Qualifications:
9. First (joint) author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
10. Direct experience in generative AI and LLM research.
11. Fluent in Python and PyTorch (or equivalent)
**Public Compensation:**
$177,000/year to $251,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
AI Research Scientist, VLLM (vision large language models)

Posted 17 days ago
Job Viewed
Job Description
-Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.-Work towards long-term ambitious research goals, while identifying intermediate milestones.-Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.-Work with a large team.-Contribute to publications and open-sourcing efforts.-Mentor other team members. Play a significant role in healthy cross-functional collaboration.-Prioritize research that can be applied to Meta's product development.
**Required Skills:**
AI Research Scientist, VLLM (vision large language models) Responsibilities:
1. Push state of the art in multimodal generative AI
2. Explore new techniques for advanced reasoning and multimodal understanding for AI Assistants
3. Mentor and work with AI/ML engineers to find a path from research to production
**Minimum Qualifications:**
Minimum Qualifications:
4. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
5. A PhD in AI, computer science, or related technical fields
6. Publications in machine learning, computer vision, NLP, speech
7. Experience writing software and executing complex experiments involving large AI models and datasets
8. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
**Preferred Qualifications:**
Preferred Qualifications:
9. First (joint) author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
10. Direct experience in generative AI and LLM research.
11. Fluent in Python and PyTorch (or equivalent)
**Public Compensation:**
$177,000/year to $251,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
AI Research Engineer, VLLM (vision large language models) - Generative AI

Posted 3 days ago
Job Viewed
Job Description
Meta is seeking a Research Engineer to join our Llama Large Language Model (LLM) Research team. We are looking for recognized experts in VLLMs; with experience in areas like vision encoders, data filtering/curation for pre and post-training, RLHF, responsible AI and model controllability. The ideal candidate will have an interest in producing and applying new science/systems/technologies to help us develop and responsibly release vision large language models.
**Required Skills:**
AI Research Engineer, VLLM (vision large language models) - Generative AI Responsibilities:
1. Lead, collaborate, and execute on developing scalable and effective data curation, model development and eval systems that push forward the state of the art in multimodal reasoning and generation research.
2. Work towards long-term ambitious research/development goals, while identifying intermediate milestones.
3. Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
4. Work with a large team.
5. Mentor other team members. Play a significant role in healthy cross-functional collaboration.
6. Prioritize research and development that can be applied to Meta's product development.
**Minimum Qualifications:**
Minimum Qualifications:
7. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
8. Masters in AI, computer science, or related technical fields.
9. 3+ years of Experience holding an industry, faculty, or government researcher position.
10. Publications in machine learning, computer vision, NLP, Audio
11. Experience writing software and executing complex experiments involving large AI models and datasets.
12. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
**Preferred Qualifications:**
Preferred Qualifications:
13. Industry research & development experiences in generative AI and LLM research.
14. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward.
15. Fluent in Python and PyTorch (or equivalent).
16. Publication track record at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
17. PhD in AI, computer science, or related technical fields.
**Public Compensation:**
$70.67/hour to $208,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
AI Research Scientist, VLLM (Vision Large Language Models) - Generative AI

Posted 3 days ago
Job Viewed
Job Description
Meta is seeking a Research Scientist to join our Llama Large Language Model (LLM) Research team. We are looking for recognized experts in VLLMs; with experience in areas like vision encoders, data filtering/curation for pre and post-training, RLHF, responsible AI and model controllability. The ideal candidate will have an interest in producing and applying new science to help us develop and responsibly release vision large language models.
**Required Skills:**
AI Research Scientist, VLLM (Vision Large Language Models) - Generative AI Responsibilities:
1. Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research
2. Work towards long-term ambitious research goals, while identifying intermediate milestones
3. Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results
4. Work with a large team
5. Contribute to publications and open-sourcing efforts
6. Mentor other team members. Play a significant role in healthy cross-functional collaboration
7. Prioritize research that can be applied to Meta's product development
**Minimum Qualifications:**
Minimum Qualifications:
8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
9. PhD in the field of Computer Science, Artificial Intelligence, or a related field
10. 3+ year experience in AI
11. Publications in areas of machine learning, computer vision, NLP, or audio
12. Experience writing software and executing complex experiments involving large AI models and datasets
13. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
**Preferred Qualifications:**
Preferred Qualifications:
14. Direct experience in generative AI and LLM research.
15. Fluent in Python and PyTorch.
16. First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
**Public Compensation:**
$147,000/year to $208,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
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About the latest Language models Jobs in United States !
Principal Scientist, Artificial Intelligence and Large Language Models (2-year LTE*) (Seattle)
Posted 3 days ago
Job Viewed
Job Description
Principal Scientist, Artificial Intelligence and Large Language Models (2-year LTE*)
OverviewThe Gates Foundation is the largest nonprofit fighting poverty, disease, and inequity worldwide. We are committed to creating a diverse environment and are proud to be an equal opportunity employer. We offer comprehensive benefits, including medical, dental, vision coverage, generous paid time off, and retirement contributions.
The TeamThe Institute for Disease Modeling (IDM) supports global health efforts through computational modeling, collaborating with WHO, UNAIDS, CDC, and other partners to develop tools and inform policy.
Your RoleWe seek a Principal Scientist with expertise in AI and large language models to lead strategic initiatives, collaborate with global partners, and translate AI advances into impactful solutions for underserved populations. You will engage with academic and industry leaders, evaluate projects, and help deploy AI technologies responsibly and effectively.
Responsibilities- Develop and lead AI strategic initiatives.
- Identify data gaps and propose solutions.
- Design innovative problem framings and prototypes.
- Provide expertise and strategic advice across the foundation.
- Build relationships with academic and industry partners.
- Collaborate with stakeholders to address key challenges.
- Communicate complex methods clearly to diverse audiences.
- PhD in relevant fields with 10+ years of experience.
- Recognized expertise in AI, with ties to industry or academia.
- Proven publication record in top ML/NLP conferences.
- Experience with AI prototyping and LLM adaptation.
- Proficiency in Python, PyTorch, TensorFlow, etc.
- Ability to work across diverse projects and partners.
- Knowledge of public health in low-income settings is a plus.
This is a 24-month limited-term position based in Seattle, WA, with relocation support. Salary ranges from $261,700 to $405,700 USD, adjusted for location and experience. Employment is contingent upon background checks. We support diversity and inclusion in all aspects of employment.
Our Values & BenefitsWe value optimism, collaboration, rigor, innovation, and inclusion. We offer flexible work arrangements, comprehensive health coverage, retirement contributions, and various wellness benefits.
#J-18808-LjbffrDeep Learning Researcher
Posted 4 days ago
Job Viewed
Job Description
- Your primary responsibility will be to explore and develop new deep learning models to solve inverse problems in imaging.
- You'll also evaluate customer feedback and image data to gauge performance and refine your models based on real-world usage.
- PhD in related field, or equivalent industry experience
- Prior key contributor to significant deep learning projects for image enhancement or image processing
- Significant prior experience with CNNs and other common computer vision network architectures
- 2 years of hands-on experience with TensorFlow or PyTorch
- Good understanding of common image processing algorithms
- Working knowledge of C/C++
- Well-read on major recent research papers in deep learning for image or video enhancement
Deep Learning Engineer
Posted 8 days ago
Job Viewed
Job Description
Headquartered in Silicon Valley, we are a newly established start-up, where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of Generative AI. Our team comprises leading minds and innovators in AI and Biological Science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.
We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our exceptionally strong R&D team and leadership in LLM and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.
Key Responsibilities:
- Design, develop, optimize, and maintain software systems for the entire foundation model development and deployment lifecycle (i.e., data pipeline, pre-training, fine-tuning, serving).
- Build and maintain scalable, efficient, and reusable codebases for large-scale foundation model training, adaptation, evaluation, and inference.
- Collaborate closely with data engineers and research scientists to integrate models into production environments.
- Implement and ensure best practices in software engineering, including code quality, testing, and documentation.
- Build and optimize robust back-end systems, APIs, and databases to support complex workflows.
- Ensure code quality, scalability, and performance through rigorous testing and code reviews.
- Bachelor's, Master's degree in Computer Science, Engineering, or related field. Experience in life sciences or healthcare is a plus.
- Strong programming skills in JavaScript, Python, and modern web development frameworks, and familiarity with GPU-accelerated tools (e.g., CUDA, cuDNN, Triton).
- Proficiency with major deep learning frameworks such as PyTorch, HuggingFace Transformers & Accelerate, or Megatron-LM/DeepSpeed.
- Familiarity with resource management and scheduling systems (e.g., SLURM, Kubernetes).
- Have direct ML Ops platform experience, such as kubeflow pipelines, argo workflows, apache airflow, or metaflow.
- Proficiency in back-end frameworks like Django, Flask, or Node. js, and database technologies (e.g., PostgreSQL, MongoDB).
- Expertise in distributed systems, cloud computing (AWS, GCP), and containerization tools (Docker, Kubernetes).
- Ph.D. degree in Computer Science, Engineering, or related field. Experience in life sciences or healthcare is a plus.
- Prior experience pre-training or serving large language models or large-scale foundation models.
- Experience with deep learning workflows.
- Knowledge of biological data types and challenges and experience with bioinformatics tools.
- Familiarity with version control systems like Git and CI/CD pipelines.
- Strong understanding of RESTful APIs, authentication, and deployment pipelines
- Familiarity with machine learning workflows and biological datasets.
Join us as we embark on this journey to redefine the future of biology and medicine.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.