10,393 AI Research jobs in the United States
AI RESEARCH AND DEVELOPMENT
Posted 2 days ago
Job Viewed
Job Description
Job Summary
This position is responsible for exploring the latest research and development in AI technologies and implementations, independently identifying, testing, and evaluating latest trends in AI, and coordinating proof of concept exercises for these trends. The incumbent will work closely with other AI engineers and researchers to develop and implement new AI solutions to the company's business problems.
The candidate will have an opportunity to work on cutting-edge AI technologies, collaborative and supportive work environment and opportunities for professional development and growth.
Major Duties and Responsibilities:
• Conduct research on the latest AI technologies and trends.
• Identify and evaluate new AI technologies and applications.
• Develop and implement proof of concept exercises for new AI technologies.
• Work with other AI engineers and researchers to develop and implement new AI solutions.
• Stay up-to-date on the latest AI research and best practices
• Communicate and collaborate with other teams to ensure that AI solutions are aligned with the company's overall business goals.
• Write monthly reports for IT management on AI research and development relevant for the Fund or its member countries.
• Define, maintain, audit , enforce AI governance and principles
• Build and run the R&D, managing the vendors assigned to R&D
• Manage the cooperation with other institutions
• Establish, maintain, operate, communicate, enforce all processes and decision matrices for all scenarios that require the intervention of the task force (e.g., address new use cases, new technologies, competing AI functionalities, etc)
• Ensure daily operations of AI Task force, including collaboration with communication, change management, development teams.
Additional Qualifications
• Experience with cloud computing platforms such as AWS or Azure
• Experience with big data processing technologies such as Hadoop or Spark
• Experience with DevOps and CI/CD practices
• Experience with open-source AI libraries and frameworks
• Publications in top AI conferences and journals
Minimum Qualifications
§ Master's degree in computer science, Artificial Intelligence, or a related field
§ 3+ years of experience in AI research and development
§ Strong programming skills in Python, R, or a similar language
§ Experience with machine learning algorithms and techniques
§ Experience with natural language processing and computer vision
§ Excellent problem-solving and analytical skills
§ Ability to work independently and as part of a team.
§ Strong communication and presentation skills
AI Research Scientist - Deep Learning
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Conduct advanced research in deep learning and artificial intelligence.
- Design, develop, and implement novel deep learning models and algorithms.
- Train and fine-tune models using large-scale datasets.
- Evaluate model performance and identify areas for improvement.
- Publish research results in leading AI conferences and journals.
- Collaborate with other researchers and engineers on AI projects.
- Stay current with the latest advancements in AI and machine learning.
- Contribute to the development of AI frameworks and tools.
- Present research findings to internal teams and external audiences.
- Mentor junior researchers and interns.
- Ph.D. in Computer Science, AI, Machine Learning, or related field.
- Strong publication record in top-tier AI venues.
- Expertise in deep learning frameworks (TensorFlow, PyTorch, Keras).
- Proficiency in Python and scientific computing libraries.
- Experience with computer vision, NLP, or reinforcement learning.
- Familiarity with cloud computing platforms (AWS, GCP, Azure).
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication abilities.
- Ability to work independently and collaboratively in a remote setting.
- Passion for pushing the boundaries of AI research.
Director of AI Research & Development
Posted 2 days ago
Job Viewed
Job Description
The ideal candidate will possess a deep understanding of various AI domains, including deep learning, natural language processing, computer vision, and reinforcement learning. You will be responsible for guiding the research process, from hypothesis formulation and experimentation to prototype development and validation. This role requires a blend of scientific rigor, strategic thinking, and strong leadership acumen. You will collaborate closely with product management, engineering, and business development teams to translate research breakthroughs into commercially viable products and services. Your ability to secure research funding, publish findings, and engage with the broader AI community will also be important.
We are seeking candidates with a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, along with a minimum of 10 years of experience in AI research and development, including significant experience in a leadership or management role. A strong publication record in top-tier AI conferences and journals is highly desirable. Proven expertise in leading teams, managing research projects, and bringing AI innovations to market is essential. Excellent communication, presentation, and interpersonal skills are required to effectively articulate complex technical concepts to both technical and non-technical audiences. This is a unique opportunity to lead transformative AI research in one of the world's leading innovation hubs.
Senior AI Research Scientist - Deep Learning
Posted 2 days ago
Job Viewed
Job Description
Responsibilities include:
- Conducting advanced research in deep learning, contributing to publications and patents.
- Developing and implementing state-of-the-art deep learning algorithms and models using Python and frameworks like TensorFlow or PyTorch.
- Collaborating with cross-functional teams to translate research findings into practical applications and product features.
- Designing and executing rigorous experiments to validate research hypotheses and assess model performance.
- Mentoring junior researchers and engineers, fostering a culture of learning and innovation.
- Staying abreast of the latest advancements in AI and machine learning, identifying opportunities for new research directions.
- Presenting research findings to internal teams and at external conferences.
- Contributing to the development of robust and scalable AI systems.
- Evaluating and integrating new AI tools and technologies into the research pipeline.
- Ensuring the ethical and responsible development of AI technologies.
- Optimizing deep learning models for performance and efficiency on various hardware platforms.
- Analyzing large datasets to extract meaningful insights and drive model improvements.
- Contributing to the strategic roadmap for AI research within the organization.
Senior AI Research Scientist - Deep Learning
Posted 2 days ago
Job Viewed
Job Description
Senior AI Research Scientist - Deep Learning
Posted 2 days ago
Job Viewed
Job Description
The successful applicant will contribute to the entire lifecycle of AI model development, from data acquisition and preprocessing to model training, evaluation, and deployment. You will work with large datasets, leverage advanced computational resources, and employ state-of-the-art techniques to solve complex problems. This position requires a proactive approach to problem-solving, excellent analytical skills, and the ability to communicate technical concepts effectively to both technical and non-technical stakeholders.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of hands-on experience in AI research and development.
- Deep expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python, C++, and Java.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Published research in reputable AI conferences or journals is a significant plus.
- Excellent communication and collaboration skills.
Senior AI Research Scientist - Deep Learning
Posted 2 days ago
Job Viewed
Job Description
Key responsibilities include:
- Leading the design, development, and implementation of advanced deep learning models for various applications.
- Conducting in-depth research into emerging AI trends and technologies, such as transformer architectures, reinforcement learning, and generative models.
- Analyzing large datasets to extract meaningful insights and identify opportunities for AI-driven solutions.
- Collaborating with product managers and software engineers to translate research prototypes into production-ready systems.
- Mentoring junior researchers and providing technical guidance to the team.
- Staying abreast of the latest academic research and industry best practices in AI and machine learning.
- Publishing research findings in top-tier AI conferences and journals.
- Developing and validating AI models, ensuring robustness, scalability, and ethical considerations.
- Contributing to the strategic direction of AI research within the organization.
- Engaging in rigorous peer review of research proposals and results.
- Presenting findings to both technical and non-technical audiences.
- Building and maintaining high-performance computing environments for model training and experimentation.
- 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 deep learning, with publications in leading AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR).
- Strong programming skills in Python and proficiency with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Experience with cloud platforms (AWS, Azure, GCP) and distributed training.
- Excellent analytical and problem-solving abilities.
- Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment.
- A passion for scientific discovery and a drive to create impactful AI solutions.
- Experience with natural language processing (NLP) or computer vision is a plus.
- Familiarity with MLOps principles and tools is desirable.
Be The First To Know
About the latest Ai research Jobs in United States !
Senior AI Research Scientist - Deep Learning
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, and implement novel deep learning architectures for various AI tasks, including natural language processing, computer vision, and reinforcement learning.
- Conduct rigorous experimentation and evaluation of AI models, ensuring robustness, scalability, and performance.
- Collaborate with cross-functional teams, including software engineers, product managers, and domain experts, to translate research findings into tangible solutions.
- Stay abreast of the latest advancements in AI and machine learning, identifying opportunities for new research directions and technological adoption.
- Mentor junior researchers and contribute to the team's knowledge sharing and growth.
- Publish research findings in top-tier AI conferences and journals.
- Develop and maintain high-quality code in Python, utilizing libraries such as TensorFlow, PyTorch, and scikit-learn.
- Contribute to the development of intellectual property and patents.
- Work on complex datasets, performing data preprocessing, feature engineering, and model optimization.
- Present research progress and outcomes to stakeholders at various levels.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research contributions and publications in AI/ML conferences and journals.
- Extensive experience with deep learning frameworks (TensorFlow, PyTorch, Keras).
- Proficiency in Python programming and experience with scientific computing libraries (NumPy, SciPy, Pandas).
- Strong understanding of statistical modeling, probability, and linear algebra.
- Excellent problem-solving, analytical, and critical thinking skills.
- Ability to work independently and as part of a collaborative team.
- Excellent communication and presentation skills.
- Experience with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks is a plus.
- Familiarity with MLOps practices and tools is desirable.
Senior AI Research Scientist - Deep Learning
Posted 2 days ago
Job Viewed
Job Description
Key responsibilities:
- Conduct cutting-edge research in deep learning and artificial intelligence.
- Develop, implement, and optimize advanced machine learning models.
- Design and execute experiments to validate research hypotheses.
- Collaborate with engineering teams to deploy AI models into production systems.
- Analyze large datasets to extract meaningful insights and identify trends.
- Stay current with the latest AI research papers and industry trends.
- Present research findings to technical and non-technical audiences.
- Mentor junior scientists and contribute to team knowledge sharing.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of experience in AI research, with a focus on deep learning.
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, Keras).
- Strong understanding of algorithms, data structures, and statistical modeling.
- Experience with cloud platforms (AWS, GCP, Azure) is a plus.
- Excellent problem-solving and critical-thinking abilities.
- Strong communication and collaboration skills.
Senior AI Research Scientist - Deep Learning
Posted 2 days ago
Job Viewed
Job Description
- Conduct pioneering research in deep learning and related AI fields.
- Develop and implement advanced machine learning models and algorithms.
- Collaborate with engineering teams to deploy AI solutions.
- Publish research findings in leading academic venues.
- Mentor junior researchers and contribute to team growth.
- Stay abreast of the latest advancements in AI and machine learning.
- Ph.D. or equivalent research experience in AI/ML or related field.
- Proven expertise in deep learning frameworks (TensorFlow, PyTorch).
- Strong programming skills in Python.
- Excellent analytical and problem-solving abilities.
- Record of publications in top AI conferences/journals.