8,260 AI Research jobs in the United States
AI Research Scientist - Deep Learning
78701 Austin, Texas
$150000 Annually
WhatJobs
Posted 8 days ago
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Job Description
Our client is at the forefront of innovation and is seeking a brilliant AI Research Scientist specializing in Deep Learning to join their fully remote, elite research team. This position offers a unique opportunity to contribute to groundbreaking advancements in artificial intelligence, pushing the boundaries of what's possible. You will be involved in developing novel deep learning models, algorithms, and architectures to solve complex problems in areas such as computer vision, natural language processing, reinforcement learning, and generative AI. The ideal candidate will possess a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field, with a proven track record of impactful research demonstrated through publications in top-tier conferences and journals. Your responsibilities will include designing and implementing experiments, conducting rigorous theoretical and empirical analysis, and collaborating with other researchers and engineers to translate research findings into practical applications. Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX, along with strong programming skills in Python, is essential. We are looking for creative thinkers with a deep understanding of mathematical concepts underpinning AI and a passion for exploring uncharted territories in AI research. This role is 100% remote, allowing you to work from anywhere, and requires exceptional self-motivation, strong analytical skills, and the ability to articulate complex ideas clearly. You will have the opportunity to work with state-of-the-art computational resources and contribute to shaping the future of AI. If you are driven by scientific curiosity and aspire to make significant contributions to the field of artificial intelligence, this is the role for you. Join a collaborative environment that fosters innovation and empowers researchers to tackle the most challenging problems.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Conduct cutting-edge research in deep learning and artificial intelligence.
- Develop and implement novel deep learning models and algorithms.
- Design and execute experiments to test and validate research hypotheses.
- Analyze research results and publish findings in leading AI conferences and journals.
- Collaborate with a team of world-class AI researchers and engineers.
- Translate research breakthroughs into potential product features or applications.
- Stay abreast of the latest advancements in AI, machine learning, and related fields.
- Contribute to the development of AI research strategies and roadmaps.
- Mentor junior researchers and contribute to the team's knowledge base.
- Contribute to the ethical development and deployment of AI technologies.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Strong publication record in top AI/ML conferences and journals (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- Expertise in deep learning frameworks (TensorFlow, PyTorch, JAX).
- Proficiency in Python and scientific computing libraries.
- Deep understanding of machine learning theory, algorithms, and best practices.
- Experience in one or more of the following: computer vision, NLP, reinforcement learning, generative models.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
- Ability to work independently and collaboratively in a remote research setting.
- Proven ability to drive research initiatives from conception to completion.
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0
AI Research Scientist - Deep Learning
89101 Sunrise Manor, Nevada
$150000 Annually
WhatJobs
Posted 11 days ago
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Job Description
Our client is at the forefront of innovation and is seeking a brilliant AI Research Scientist specializing in Deep Learning to join their pioneering team. While this role is fully remote, you will be collaborating with a world-class team on cutting-edge artificial intelligence research and development. The primary focus will be on designing, implementing, and evaluating novel deep learning algorithms and models for complex problems. Responsibilities include staying abreast of the latest advancements in AI and machine learning, publishing research findings in top-tier conferences and journals, and developing scalable solutions for real-world applications. You will work with large datasets, conduct rigorous experimentation, and contribute to the intellectual property of the company. The ideal candidate will have a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field, with a strong publication record. Demonstrated expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras is essential. Proficiency in programming languages like Python, along with experience in data manipulation and analysis, is required. Strong theoretical understanding of machine learning algorithms, statistical modeling, and optimization techniques is critical. This remote position requires exceptional self-discipline, excellent communication skills, and the ability to collaborate effectively in a virtual environment. Experience with cloud computing platforms (AWS, Azure, GCP) and distributed training is a plus. We are looking for individuals who are passionate about pushing the boundaries of AI and have a proven track record of innovative research and development. If you are driven by curiosity and possess a deep understanding of the theoretical and practical aspects of deep learning, we encourage you to apply.
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1
AI Research Scientist - Deep Learning
45201 Cincinnati, Ohio
$130000 Annually
WhatJobs
Posted 12 days ago
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Job Description
Our client is seeking an innovative and experienced AI Research Scientist specializing in Deep Learning to join their groundbreaking, fully remote research team. This role is at the forefront of developing next-generation artificial intelligence solutions, pushing the boundaries of what's possible. You will contribute to cutting-edge research, design and implement novel deep learning models, and publish your findings in top-tier conferences and journals. The ideal candidate possesses a Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field, coupled with a strong publication record and hands-on experience with major deep learning frameworks. This is a remote-first opportunity for a self-motivated researcher eager to make a significant impact in the AI landscape.
Responsibilities:
Responsibilities:
- Conduct advanced research in deep learning, including areas such as neural networks, reinforcement learning, natural language processing, and computer vision.
- Design, develop, and implement state-of-the-art deep learning models and algorithms.
- Experiment with and evaluate various model architectures, training techniques, and optimization strategies.
- Analyze large datasets, preprocess data, and perform feature engineering.
- Collaborate with other researchers and engineers to translate research concepts into practical applications.
- Stay abreast of the latest advancements in AI and machine learning by reading research papers and attending conferences.
- Publish research findings in prestigious academic venues and contribute to open-source projects.
- Develop prototypes and proof-of-concepts for new AI technologies.
- Contribute to the intellectual property portfolio through patent filings.
- Present research results to both technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field.
- Proven research experience in deep learning, with a strong publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- Expertise in at least one major deep learning framework (e.g., TensorFlow, PyTorch).
- Proficiency in programming languages such as Python.
- Strong understanding of machine learning theory, algorithms, and statistical modeling.
- Experience with large-scale data processing and distributed computing.
- Excellent problem-solving and analytical skills.
- Ability to work independently and drive research projects forward in a remote setting.
- Strong communication and collaboration skills.
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2
AI Research Scientist - Deep Learning
80202 Denver, Colorado
$150000 Annually
WhatJobs
Posted 13 days ago
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Job Description
Our client is a pioneering technology firm at the cutting edge of Artificial Intelligence and Emerging Technologies, based in Denver, Colorado, US . We are seeking an exceptional AI Research Scientist specializing in Deep Learning to drive innovation and develop next-generation AI solutions. This role offers a unique opportunity to conduct groundbreaking research, publish findings, and contribute to transformative AI applications that will shape the future.
As an AI Research Scientist, you will be responsible for designing, implementing, and evaluating state-of-the-art deep learning models for a variety of complex problems. Your work will involve exploring novel architectures, developing advanced training techniques, and optimizing model performance for efficiency and accuracy. You will collaborate with a world-class team of researchers and engineers, contributing to research proposals, conducting experiments, and analyzing results. A key aspect of this role is staying abreast of the latest advancements in the field of AI and machine learning, identifying opportunities for new research directions, and translating theoretical concepts into practical applications. You will be expected to publish research in top-tier conferences and journals, further establishing our client as a leader in AI innovation. The ideal candidate will possess a strong theoretical foundation in machine learning, deep learning, and related areas, coupled with hands-on experience in implementing and deploying AI models.
Qualifications for this position include a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. A minimum of 5 years of post-doctoral research experience in deep learning is required. Proven expertise in developing and deploying deep learning models using frameworks such as TensorFlow, PyTorch, or Keras is essential. Strong programming skills in Python and experience with relevant libraries (e.g., NumPy, SciPy, Scikit-learn) are mandatory. Demonstrated experience in publishing research in leading AI conferences (e.g., NeurIPS, ICML, ICLR) and journals is highly desirable. Excellent analytical, problem-solving, and critical thinking skills are crucial, as is the ability to work effectively in a collaborative research environment. Given the nature of advanced research, this role may involve a hybrid work arrangement for the right candidate in the Denver, Colorado, US area.
As an AI Research Scientist, you will be responsible for designing, implementing, and evaluating state-of-the-art deep learning models for a variety of complex problems. Your work will involve exploring novel architectures, developing advanced training techniques, and optimizing model performance for efficiency and accuracy. You will collaborate with a world-class team of researchers and engineers, contributing to research proposals, conducting experiments, and analyzing results. A key aspect of this role is staying abreast of the latest advancements in the field of AI and machine learning, identifying opportunities for new research directions, and translating theoretical concepts into practical applications. You will be expected to publish research in top-tier conferences and journals, further establishing our client as a leader in AI innovation. The ideal candidate will possess a strong theoretical foundation in machine learning, deep learning, and related areas, coupled with hands-on experience in implementing and deploying AI models.
Qualifications for this position include a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. A minimum of 5 years of post-doctoral research experience in deep learning is required. Proven expertise in developing and deploying deep learning models using frameworks such as TensorFlow, PyTorch, or Keras is essential. Strong programming skills in Python and experience with relevant libraries (e.g., NumPy, SciPy, Scikit-learn) are mandatory. Demonstrated experience in publishing research in leading AI conferences (e.g., NeurIPS, ICML, ICLR) and journals is highly desirable. Excellent analytical, problem-solving, and critical thinking skills are crucial, as is the ability to work effectively in a collaborative research environment. Given the nature of advanced research, this role may involve a hybrid work arrangement for the right candidate in the Denver, Colorado, US area.
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3
AI Research Scientist - Deep Learning
46201 Indianapolis, Indiana
$150000 Annually
WhatJobs
Posted 18 days ago
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Job Description
Our client is a leading innovator at the forefront of Artificial Intelligence and Emerging Technologies, seeking a talented AI Research Scientist specializing in Deep Learning to join their entirely remote research division. This role is perfect for a visionary individual passionate about pushing the boundaries of machine intelligence and developing groundbreaking AI solutions. You will work alongside a world-class team of researchers and engineers, contributing to cutting-edge projects that have a real-world impact.
Primary Responsibilities:
Primary Responsibilities:
- Conduct original research in deep learning, machine learning, and related AI fields.
- Develop and implement novel algorithms and models for various AI applications, such as computer vision, natural language processing, and reinforcement learning.
- Design and execute experiments to validate research hypotheses and evaluate model performance.
- Analyze large datasets to identify patterns, extract insights, and inform model development.
- Collaborate with software engineers to translate research prototypes into production-ready systems.
- Publish research findings in top-tier AI conferences and journals.
- Stay current with the latest advancements in AI and machine learning research.
- Mentor junior researchers and interns, providing guidance and technical expertise.
- Contribute to grant proposals and research funding applications.
- Present research progress and results to internal stakeholders and external partners.
- Develop robust evaluation metrics and methodologies for AI systems.
- Explore new research areas and identify opportunities for innovation.
- Maintain detailed documentation of research methodologies and experimental results.
- Foster a culture of innovation and knowledge sharing within the research team.
- Ph.D. or equivalent research experience in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research publications in reputable AI conferences (e.g., NeurIPS, ICML, CVPR, ACL).
- Deep understanding of deep learning architectures (CNNs, RNNs, Transformers, GANs) and training techniques.
- Proficiency in programming languages like Python and relevant AI frameworks (e.g., TensorFlow, PyTorch).
- Experience with large-scale data processing and distributed computing is highly advantageous.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities, essential for a remote team.
- Ability to work independently and manage research projects autonomously.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
Apply Now
4
AI Research Scientist - Deep Learning
45202 Cincinnati, Ohio
$160000 Annually
WhatJobs
Posted 19 days ago
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Job Description
Our client is seeking an innovative and experienced AI Research Scientist specializing in Deep Learning to join our cutting-edge research and development team in **Cincinnati, Ohio, US**. This role is at the forefront of exploring and applying advanced artificial intelligence techniques to solve complex real-world problems. You will be involved in designing, developing, and deploying novel deep learning models and algorithms, pushing the boundaries of what's possible in AI. The position offers a hybrid work model, allowing for a blend of in-office collaboration and remote work flexibility.
Your responsibilities will include conducting research into state-of-the-art deep learning architectures, developing algorithms for areas such as natural language processing, computer vision, and reinforcement learning, and implementing these models using frameworks like TensorFlow, PyTorch, or Keras. You will be expected to design and execute experiments, analyze results, and publish findings in reputable conferences and journals. Collaboration with engineering teams to integrate research prototypes into production systems will be a key aspect of the role. You will also stay current with the latest advancements in AI and machine learning and contribute to the team's intellectual property. The ideal candidate will have a strong theoretical foundation combined with practical experience in building and training large-scale deep learning models.
Required qualifications include a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. A proven track record of research contributions through publications or patents in deep learning is essential. Minimum of 5 years of hands-on experience in developing and deploying deep learning models is required, with proficiency in Python and ML libraries. Experience with large datasets and distributed training is highly desirable. Strong analytical and problem-solving skills, excellent communication and presentation abilities, and the capacity to work effectively both independently and in a team environment are crucial. This is an exciting opportunity to contribute to groundbreaking AI advancements in a collaborative and stimulating setting.
Your responsibilities will include conducting research into state-of-the-art deep learning architectures, developing algorithms for areas such as natural language processing, computer vision, and reinforcement learning, and implementing these models using frameworks like TensorFlow, PyTorch, or Keras. You will be expected to design and execute experiments, analyze results, and publish findings in reputable conferences and journals. Collaboration with engineering teams to integrate research prototypes into production systems will be a key aspect of the role. You will also stay current with the latest advancements in AI and machine learning and contribute to the team's intellectual property. The ideal candidate will have a strong theoretical foundation combined with practical experience in building and training large-scale deep learning models.
Required qualifications include a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. A proven track record of research contributions through publications or patents in deep learning is essential. Minimum of 5 years of hands-on experience in developing and deploying deep learning models is required, with proficiency in Python and ML libraries. Experience with large datasets and distributed training is highly desirable. Strong analytical and problem-solving skills, excellent communication and presentation abilities, and the capacity to work effectively both independently and in a team environment are crucial. This is an exciting opportunity to contribute to groundbreaking AI advancements in a collaborative and stimulating setting.
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5
Principal AI Research Scientist - Deep Learning
78705 Austin, Texas
$170000 Annually
WhatJobs
Posted today
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Job Description
Our client is a pioneering organization in AI and Emerging Technologies, seeking a highly accomplished Principal AI Research Scientist to join their elite, fully remote research team. This is a leadership position focused on pushing the boundaries of deep learning and artificial intelligence. You will lead groundbreaking research initiatives, develop novel algorithms, and contribute to state-of-the-art AI systems that address complex global challenges. The ideal candidate possesses a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, coupled with a significant track record of impactful research, publications, and practical application of AI. As a remote Principal Scientist, you will collaborate with a world-class team of researchers and engineers, leveraging advanced computational resources and state-of-the-art methodologies. Responsibilities will include defining research roadmaps, conducting theoretical and empirical investigations, mentoring junior researchers, and publishing findings in top-tier scientific venues. Your expertise in areas such as neural networks, natural language processing, computer vision, or reinforcement learning will be invaluable. This role offers an exceptional opportunity to drive innovation at the forefront of AI, working from a remote location while contributing to transformative technologies. Responsibilities:
- Lead and conduct cutting-edge research in artificial intelligence and deep learning.
- Develop novel algorithms and methodologies to solve complex problems.
- Design and implement advanced AI models and systems.
- Publish research findings in leading academic conferences and journals.
- Mentor and guide junior researchers and engineers.
- Collaborate with cross-functional teams on AI strategy and implementation.
- Stay abreast of the latest advancements in AI and emerging technologies.
- Contribute to the intellectual property and patent portfolio of the company.
- Present research results to technical and non-technical audiences.
- Define and drive research roadmaps and project objectives.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 10+ years of post-doctoral research experience in AI/ML.
- Demonstrated track record of impactful research, publications, and citations in top AI venues.
- Expertise in deep learning, neural networks, and related areas (e.g., NLP, Computer Vision, RL).
- Proficiency in programming languages such as Python and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch).
- Strong theoretical and practical understanding of AI principles.
- Excellent problem-solving, analytical, and critical thinking skills.
- Proven leadership and mentoring capabilities.
- Exceptional written and verbal communication skills.
- Ability to work independently and effectively in a remote research environment.
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6
Senior AI Research Scientist - Deep Learning
23456 Virginia Beach, Virginia
$160000 Annually
WhatJobs
Posted 1 day ago
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Job Description
Our client is seeking a highly motivated and experienced Senior AI Research Scientist to join our pioneering team focused on advancing the frontiers of Artificial Intelligence and Emerging Technologies. This fully remote position offers an unparalleled opportunity to contribute to groundbreaking projects that will shape the future. You will be instrumental in designing, developing, and implementing cutting-edge deep learning models and algorithms. Your responsibilities will include conducting fundamental research, developing novel AI architectures, and translating complex research findings into practical, scalable solutions. We are looking for individuals who are passionate about pushing the boundaries of what AI can achieve.
Key responsibilities include:
Ideal candidates will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. A strong publication record in leading AI conferences is highly desirable. You should have at least 5 years of hands-on experience in developing and deploying deep learning models. Excellent programming skills in Python, along with proficiency in deep learning libraries like TensorFlow or PyTorch, are essential. Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps practices is a plus. Exceptional problem-solving abilities, strong analytical skills, and the capacity to work independently and collaboratively in a remote environment are crucial. The ability to communicate complex technical concepts clearly and effectively is also a key requirement. This is a unique opportunity to make a significant impact in the rapidly evolving field of AI from the comfort of your home office. The successful candidate will be based in the **Virginia Beach, Virginia, US** metropolitan area or willing to relocate if circumstances change. We are committed to fostering a diverse and inclusive workplace.
Key responsibilities include:
- Lead research initiatives in areas such as natural language processing, computer vision, reinforcement learning, and generative models.
- Design, develop, and deploy sophisticated machine learning models and algorithms using Python and relevant deep learning frameworks (TensorFlow, PyTorch).
- Collaborate with cross-functional teams, including engineers and product managers, to integrate AI solutions into existing and new products.
- Stay abreast of the latest advancements in AI research and publish findings in top-tier conferences and journals.
- Mentor junior researchers and contribute to a culture of innovation and knowledge sharing.
- Develop and maintain high-quality, production-ready code.
- Evaluate and benchmark AI models for performance, efficiency, and ethical considerations.
- Contribute to the strategic direction of AI research within the organization.
- Present research findings and project progress to stakeholders at various levels.
Ideal candidates will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. A strong publication record in leading AI conferences is highly desirable. You should have at least 5 years of hands-on experience in developing and deploying deep learning models. Excellent programming skills in Python, along with proficiency in deep learning libraries like TensorFlow or PyTorch, are essential. Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps practices is a plus. Exceptional problem-solving abilities, strong analytical skills, and the capacity to work independently and collaboratively in a remote environment are crucial. The ability to communicate complex technical concepts clearly and effectively is also a key requirement. This is a unique opportunity to make a significant impact in the rapidly evolving field of AI from the comfort of your home office. The successful candidate will be based in the **Virginia Beach, Virginia, US** metropolitan area or willing to relocate if circumstances change. We are committed to fostering a diverse and inclusive workplace.
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7
Senior AI Research Scientist - Deep Learning
45202 Cincinnati, Ohio
$150000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client is seeking a highly innovative and experienced Senior AI Research Scientist specializing in Deep Learning to join their dynamic and forward-thinking team. This is a fully remote, remote-first position, offering the flexibility to work from anywhere within the United States. You will be at the forefront of developing cutting-edge AI solutions that will shape the future of our industry. Your primary focus will be on designing, implementing, and evaluating advanced deep learning models for complex problem-solving. This will involve extensive research into novel algorithms, neural network architectures, and training methodologies to push the boundaries of artificial intelligence.
Key responsibilities include:
Key responsibilities include:
- Conducting groundbreaking research in areas such as natural language processing, computer vision, reinforcement learning, and generative models.
- Developing and prototyping new AI algorithms and models using Python and relevant frameworks (e.g., TensorFlow, PyTorch).
- Collaborating closely with cross-functional teams, including software engineers and product managers, to translate research findings into practical applications.
- Staying abreast of the latest advancements in AI and machine learning through literature review, conference participation, and academic engagement.
- Mentoring junior researchers and contributing to the intellectual growth of the AI team.
- Designing and executing rigorous experiments to validate model performance and identify areas for improvement.
- Contributing to the publication of research findings in top-tier conferences and journals.
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8
Remote AI Research Scientist (Deep Learning)
60601 Chicago, Illinois
$120000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client is at the forefront of innovation and is seeking a brilliant Remote AI Research Scientist specializing in Deep Learning to join their pioneering team. This is a fully remote opportunity for a candidate passionate about pushing the boundaries of artificial intelligence and developing next-generation AI solutions. You will be instrumental in conducting cutting-edge research, designing novel algorithms, and implementing state-of-the-art deep learning models to solve complex problems across various domains. Responsibilities include developing and training neural networks, exploring new architectures, evaluating model performance, and contributing to high-impact research publications and patents. You will collaborate with a world-class team of researchers and engineers, sharing insights and driving forward ambitious AI projects. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a strong publication record in top-tier AI conferences and journals. Demonstrable expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras is essential. Proficiency in Python and experience with large-scale data processing and distributed computing environments are required. You should have a deep understanding of various deep learning techniques, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformers, and generative models. Excellent analytical, problem-solving, and critical thinking skills are paramount. As a remote employee, you must possess exceptional self-motivation, discipline, and communication skills to thrive in a virtual collaborative environment. You will be expected to present research findings, contribute to technical discussions, and actively participate in the global AI research community. If you are driven by scientific curiosity and aspire to make significant contributions to the field of AI, we encourage you to apply for this transformative role.
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