8,378 AI Research jobs in the United States
AI Research Scientist - Deep Learning
78701 Austin, Texas
$150000 Annually
WhatJobs
Posted 13 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 16 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 17 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 18 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 23 days ago
Job Viewed
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.
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4
AI Research Scientist - Deep Learning
45202 Cincinnati, Ohio
$160000 Annually
WhatJobs
Posted 25 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
Senior AI Research Scientist - Deep Learning
27703 Durham, North Carolina
$150000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client is seeking a highly motivated and innovative Senior AI Research Scientist specializing in Deep Learning to join our cutting-edge research team. This is a fully remote, permanent position offering the opportunity to work on challenging problems at the forefront of artificial intelligence. The ideal candidate will have a strong theoretical foundation in machine learning and a proven track record of developing and deploying novel AI models. You will be instrumental in driving our AI strategy, conducting groundbreaking research, and contributing to the development of next-generation AI products. Your work will involve exploring new algorithmic approaches, designing and implementing complex neural network architectures, and evaluating their performance on large-scale datasets. Collaboration is key in this role; you will work closely with other researchers, engineers, and product managers to translate research findings into tangible solutions. We are looking for individuals who are passionate about pushing the boundaries of AI and have a deep understanding of various deep learning frameworks such as TensorFlow, PyTorch, or JAX. The role demands exceptional problem-solving skills, a rigorous scientific approach, and the ability to communicate complex ideas clearly and effectively to both technical and non-technical audiences. As a fully remote employee, you will benefit from flexible working hours and the ability to contribute from anywhere in the US. We expect you to stay abreast of the latest advancements in the field, publish research in top-tier conferences, and mentor junior researchers. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field, with a minimum of 5 years of relevant research experience. A strong publication record in major AI conferences (e.g., NeurIPS, ICML, ICLR) is highly desirable. Experience with cloud platforms (AWS, GCP, Azure) and distributed training is also a plus. If you are ready to make a significant impact in the AI landscape from the comfort of your home office in Durham, North Carolina, US , we encourage you to apply.
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6
Senior AI Research Scientist - Deep Learning
84111 Salt Lake City, Utah
$150000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client is seeking a highly motivated and innovative Senior AI Research Scientist to join our cutting-edge Artificial Intelligence and Emerging Technologies team in Salt Lake City, Utah, US . This role is pivotal in driving advancements in machine learning and deep learning models. You will be responsible for conceiving, designing, and implementing novel algorithms and architectures that push the boundaries of AI capabilities. Your work will involve extensive experimentation, data analysis, and model evaluation, with a focus on achieving state-of-the-art performance. The ideal candidate possesses a strong theoretical foundation in machine learning, statistics, and computer science, coupled with hands-on experience in developing and deploying complex AI systems. You will collaborate closely with cross-functional teams, including software engineers and product managers, to translate research findings into practical applications. This position offers a unique opportunity to contribute to groundbreaking projects, publish research, and mentor junior scientists. Responsibilities will include:
- Conducting advanced research in areas such as natural language processing, computer vision, reinforcement learning, or generative models.
- Developing and implementing novel deep learning architectures and algorithms.
- Designing and executing rigorous experiments to validate research hypotheses.
- Analyzing large datasets to extract meaningful insights and inform model development.
- Staying abreast of the latest advancements in AI and machine learning research through literature review and conference participation.
- Collaborating with engineering teams to integrate research prototypes into production systems.
- Presenting research findings internally and externally at conferences.
- Mentoring junior researchers and contributing to a collaborative research environment.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research and development in AI/ML, evidenced by publications or significant project contributions.
- Deep understanding of machine learning principles, statistical modeling, and algorithms.
- Proficiency in programming languages such as Python, and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with large-scale data processing and distributed computing environments.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to articulate complex technical concepts.
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7
Senior AI Research Scientist - Deep Learning
90001 Los Angeles, California
$180000 Annually
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
Our client is seeking a highly motivated and experienced Senior AI Research Scientist specializing in Deep Learning to join their pioneering team. This is a fully remote, cutting-edge role that offers the opportunity to work on groundbreaking artificial intelligence projects from the comfort of your home office. You will be instrumental in designing, developing, and implementing advanced machine learning models that push the boundaries of AI. The ideal candidate possesses a strong theoretical foundation in machine learning, a deep understanding of neural network architectures, and extensive practical experience in applying these concepts to solve complex real-world problems.
Responsibilities will include conducting in-depth research into novel AI algorithms, developing prototypes and proof-of-concepts, collaborating with cross-functional teams to integrate AI solutions into existing products and services, and staying abreast of the latest advancements in the AI and machine learning landscape. You will also be responsible for mentoring junior researchers, presenting findings to stakeholders, and contributing to academic publications and conferences. The role demands exceptional problem-solving skills, a creative mindset, and the ability to work independently in a fast-paced, dynamic environment. We are looking for individuals who are passionate about AI ethics and responsible innovation.
Qualifications:
Responsibilities will include conducting in-depth research into novel AI algorithms, developing prototypes and proof-of-concepts, collaborating with cross-functional teams to integrate AI solutions into existing products and services, and staying abreast of the latest advancements in the AI and machine learning landscape. You will also be responsible for mentoring junior researchers, presenting findings to stakeholders, and contributing to academic publications and conferences. The role demands exceptional problem-solving skills, a creative mindset, and the ability to work independently in a fast-paced, dynamic environment. We are looking for individuals who are passionate about AI ethics and responsible innovation.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of research and development experience in deep learning and AI.
- Proven track record of publications in top-tier AI conferences and journals (e.g., NeurIPS, ICML, ICLR).
- Expertise in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong understanding of statistical modeling, probability, and linear algebra.
- Experience with large-scale data processing and distributed computing.
- Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
- Demonstrated ability to lead research projects and mentor team members.
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8
Senior AI Research Scientist - Deep Learning
76102 Fort Worth, Texas
$150000 Annually
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
Our client is seeking a highly innovative and experienced Senior AI Research Scientist specializing in Deep Learning to join their cutting-edge team. This role is based in the dynamic city of Fort Worth, Texas, US . You will be at the forefront of developing next-generation artificial intelligence solutions, pushing the boundaries of what's possible. Your primary responsibilities will include designing, implementing, and evaluating novel deep learning models for complex problem domains, such as natural language processing, computer vision, and reinforcement learning. You will conduct rigorous scientific research, publish findings in top-tier conferences and journals, and collaborate closely with engineering teams to translate research breakthroughs into production-ready applications. A key aspect of this role involves mentoring junior researchers and contributing to the strategic direction of our AI initiatives. We are looking for individuals with a proven track record of academic excellence and practical application in AI research. The ideal candidate will possess a strong theoretical foundation in machine learning, deep learning architectures (CNNs, RNNs, Transformers, GANs), and optimization techniques. Proficiency in programming languages such as Python and experience with deep learning frameworks like TensorFlow or PyTorch are essential. A Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field is strongly preferred. A Master's degree with significant research experience will also be considered. You should have excellent problem-solving skills, a passion for innovation, and the ability to work independently as well as part of a collaborative team. Experience with large-scale data processing and cloud computing platforms (AWS, GCP, Azure) is a plus. This is an exciting opportunity to make a significant impact in the rapidly evolving field of AI. The hybrid work model offers a balance of in-office collaboration and remote flexibility.
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