AI Research Scientist - Machine Learning

AIToolboard; Richmond (VA); On-site; USD 120,000 - 190,000; Full time

Job summary

AIToolboard in Richmond, Virginia is seeking an AI Research Scientist specializing in Machine Learning to join its cutting-edge R&D team. The role focuses on designing, implementing, and evaluating advanced ML models, conducting groundbreaking research, and contributing to high-impact AI applications.

The candidate will publish findings, mentor junior researchers, and collaborate with software engineers to deploy models into production. A Ph.D.

Qualifications

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or related quantitative field.
• Publications in top-tier AI/ML conferences/journals (e.g., NeurIPS, ICML, ICLR, CVPR).
• Strong theoretical foundation in machine learning, deep learning, and statistical modeling.
• Proficiency in Python and ML libraries like TensorFlow, PyTorch, scikit-learn.
• Experience with data manipulation and analysis tools.
• Ability to design and conduct rigorous experiments, interpret results, and draw insights.
• Excellent problem-solving and creativity in developing novel solutions.
• Strong communication and presentation skills.
• Experience with distributed computing frameworks (e.g., Spark) is a plus.
• Experience in NLP, computer vision, or reinforcement learning is desirable.

Responsibilities

• Conduct advanced research in machine learning, deep learning, and related AI fields.
• Design, develop, and implement novel algorithms and models for complex AI problems.
• Experiment with various ML techniques, including supervised, unsupervised, reinforcement learning, and neural networks.
• Analyze large datasets, preprocess data, and extract meaningful features for model training.
• Evaluate model performance, identify areas for improvement, and iterate on designs.
• Collaborate with software engineers to deploy and integrate AI models into production systems.
• Stay current with AI/ML research through literature review and conference participation.
• Publish research findings in leading journals and present at conferences.
• Mentor junior researchers and interns, fostering a collaborative environment.
• Contribute to IP portfolio through patent applications.

Skills

Research experience

Machine learning

Deep learning

Python programming

Experiment design

Communication skills

Education

PhD or Master's in CS/AI/ML/Statistics

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Job description

Jobs / AI Research Scientist - Machine Learning

AI Research Scientist - Machine Learning

Full-time

About the Role

Our client is seeking a brilliant and innovative AI Research Scientist specializing in Machine Learning to join their cutting-edge R&D team in Richmond, Virginia, US. This role is at the forefront of developing next-generation AI technologies and algorithms. You will be responsible for designing, implementing, and evaluating advanced machine learning models, conducting groundbreaking research, andcontributing to high-impact AI applications. The ideal candidate possesses a strong academic background, a deep understanding of ML principles, and a passion for pushing the boundaries of artificial intelligence.Key Responsibilities:Conduct advanced research in machine learning, deep learning, and related AI fields. Design, develop, and implement novel algorithms and models for complex AI problems. Experiment with various ML techniques, including supervised, unsupervised, reinforcement learning, and neural networks. Analyze large datasets, preprocess data, and extract meaningful features for model training. Evaluate model performance, identify areas for improvement, and iterate on designs. Collaborate with software engineers to deploy and integrate AI models into production systems. Stay current with the latest advancements in AI and ML research through literature review and conference participation. Publish research findings in leading scientific journals and present at conferences. Mentor junior researchers and interns, fostering a collaborative research environment. Contribute to the intellectual property portfolio through patent applications.Qualifications:Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field. Proven research experience demonstrated through publications in top-tier AI/ML conferences and journals (e.g., NeurIPS, ICML, ICLR, CVPR). Strong theoretical foundation in machine learning, deep learning, and statistical modeling. Proficiency in programming languages such as Python, and experience with ML libraries like TensorFlow, PyTorch, scikit-learn. Experience with data manipulation and analysis tools. Ability to design and conduct rigorous experiments, interpret results, and draw insightful conclusions. Excellent problem-solving skills and creativity in developing novel solutions. Strong communication and presentation skills, with the ability to articulate complex technical concepts. Experience with distributed computing frameworks (e.g., Spark) is a plus. Experience in specific domains like NLP, computer vision, or reinforcement learning is highly desirable. Join a forward-thinking team that is shaping the future of AI. This exciting opportunity is based in Richmond, Virginia, US .