10,091 Large Language Models jobs in the United States

**Summary:**
-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

**Summary:**
-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

**Summary:**
-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

**Summary:**
-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

**Summary:**
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

**Summary:**
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

Principal Scientist, Artificial Intelligence and Large Language Models (2-year LTE*)

Overview

The 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 Team

The 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 Role

We 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

1. Develop and lead AI strategic initiatives.
2. Identify data gaps and propose solutions.
3. Design innovative problem framings and prototypes.
4. Provide expertise and strategic advice across the foundation.
5. Build relationships with academic and industry partners.
6. Collaborate with stakeholders to address key challenges.
7. Communicate complex methods clearly to diverse audiences.

Qualifications

1. PhD in relevant fields with 10+ years of experience.
2. Recognized expertise in AI, with ties to industry or academia.
3. Proven publication record in top ML/NLP conferences.
4. Experience with AI prototyping and LLM adaptation.
5. Proficiency in Python, PyTorch, TensorFlow, etc.
6. Ability to work across diverse projects and partners.
7. Knowledge of public health in low-income settings is a plus.

Additional Details

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 & Benefits

We value optimism, collaboration, rigor, innovation, and inclusion. We offer flexible work arrangements, comprehensive health coverage, retirement contributions, and various wellness benefits.

#J-18808-Ljbffr

Description
Revolutionize the Future of AI at the Frontier of Applied Science
Are you a brilliant mind seeking to push the boundaries of what's possible with artificial intelligence? Join our elite team of researchers and engineers at the forefront of applied science, where we're harnessing the latest advancements in natural language processing, deep learning, and generative AI to reshape industries and unlock new realms of innovation.
As an Applied Science Intern, you'll have the unique opportunity to work alongside world-renowned experts, gaining invaluable hands-on experience with cutting-edge technologies such as large language models, transformers, and neural networks. You'll dive deep into complex challenges, fine-tuning state-of-the-art models, developing novel algorithms for named entity recognition, and exploring the vast potential of generative AI.
This internship is not just about executing tasks - it's about being a driving force behind groundbreaking discoveries. You'll collaborate with cross-functional teams, leveraging your expertise in statistics, recommender systems, and question answering to tackle real-world problems and deliver impactful solutions.
Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.
Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology.
Amazon has positions available for LLM & GenAI Applied Science Internships in, but not limited to, Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA; Pittsburgh, PA.
Key job responsibilities
We are particularly interested in candidates with expertise in: LLMs, NLP/NLU, Gen AI, Transformers, Fine-Tuning, Recommendation Systems, Deep Learning, NER, Statistics, Neural Networks, Question Answering.
In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and GenAI. You will tackle challenging, groundbreaking research problems on production-scale data, with a focus on recommendation systems, question answering, deep learning and generative AI.
The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment.
A day in the life
- Collaborate with cross-functional teams to tackle complex challenges in natural language processing, computer vision, and generative AI.
- Fine-tune state-of-the-art models and develop novel algorithms to push the boundaries of what's possible.
- Explore the vast potential of generative AI and its applications across industries.
- Attend cutting-edge research seminars and engage in thought-provoking discussions with industry luminaries.
- Leverage state-of-the-art computing infrastructure and access to the latest research papers to fuel your innovation.
- Present your groundbreaking work and insights to the team, fostering a culture of knowledge-sharing and continuous learning.
Basic Qualifications
- Are enrolled in a PhD
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language
Preferred Qualifications
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in building models for business application
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $65.38/hr in our lowest geographic market up to $107.40/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Job Title: Deep Learning Researcher Job ID: 82378 Location: Dallas, Texas Overview: Our client, an AI tech company that builds software to solve imaging problems like denoising, super-resolution, and deconvolution with deep learning. Over 1M photographers and designers trust them with their work, including on teams at Google, Nvidia, NASA, and more. They've processed over 1 billion images, achieved 1000% revenue growth in the last 4 years, and we're only getting started. They're looking for a Deep Learning Researcher to help them push the state-of-the-art in image and video enhancement. What you will be doing:

• 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.

What you must have:

• 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

Aside from technical understanding and research skills, they're looking for someone with a strong work ethic, intellectual humility, and a shipping mentality. They're a small company with a high-visibility and high-performance culture, so you will work with a high degree of impact and autonomy. You'll also collaborate closely with other world-class researchers to exchange ideas and solve problems together. The client's technology advantage has already driven strong success for their company, and your contributions will directly help determine our future growth. They offer strong base salary plus significant ownership that scales with the company's growth. They also offer 100% covered medical/dental/vision for employees, 15 days annual PTO plus holidays, and 401k matching. This is a full-time on-site role in Dallas, TX, and they will ask you to relocate if you're not in the area. Thank you for your interest in this opportunity. If you are selected to move forward in the process, we will contact you directly. If you do not hear from us, we encourage you to continue visiting our website for other roles that may be a good fit. For more information about TEEMA and to consider other career opportunities, please visit our website at