Lead Research Scientist - AI & Machine Learning

Qualifications

• The ideal candidate will possess a Ph.D. in Computer Science, Electrical Engineering, Statistics, or a related quantitative field, with a strong publication record in top-tier AI/ML venues
• A minimum of 7 years of post-doctoral research experience in AI/ML is required, with demonstrated experience in leading research projects
• Proficiency in programming languages such as Python, R, or C++, and extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn are essential
• Strong understanding of statistical modeling, algorithm development, and data science principles
• Excellent analytical, critical thinking, and problem-solving skills, coupled with superior written and verbal communication abilities

Responsibilities

• You will lead research projects from conceptualization through to publication and potential commercialization, overseeing research methodologies, data analysis, and experimental design
• Key responsibilities include designing, implementing, and evaluating sophisticated ML models for tasks such as pattern recognition, predictive modeling, natural language processing, and computer vision
• You will collaborate with a multidisciplinary team of scientists and engineers, contributing to grant proposals and securing research funding
• Mentoring junior researchers, publishing findings in leading scientific journals, and presenting at international conferences are integral to this role
• Staying at the forefront of AI/ML advancements and translating theoretical concepts into practical applications will be crucial

Full Description

Our client, a renowned research institution, is seeking a pioneering Lead Research Scientist with expertise in Artificial Intelligence and Machine Learning to join their cutting-edge laboratory in Washington, D.C., US.

This leadership position will drive innovation in developing and applying advanced AI/ML algorithms to solve complex scientific challenges.

You will lead research projects fromconceptualization through to publication and potential commercialization, overseeing research methodologies, data analysis, and experimental design.

Key responsibilities include designing, implementing, and evaluating sophisticated ML models for tasks such as pattern recognition, predictive modeling, natural language processing, and computer vision.

You will collaborate with a multidisciplinary team of scientists and engineers, contributing to grant proposals and securing research funding.

Mentoring junior researchers, publishing findings in leading scientific journals, and presenting at international conferences are integral to this role.

Staying at the forefront of AI/ML advancements and translating theoretical concepts into practical applications will be crucial.

The ideal candidate will possess a Ph.

D. in Computer Science, Electrical Engineering, Statistics, or a related quantitative field, with a strong publication record in top-tier AI/ML venues.

A minimum of 7 years of post-doctoral research experience in AI/ML is required, with demonstrated experience in leading research projects.

Proficiency in programming languages such as Python, R, or C++, and extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn are essential.

Strong understanding of statistical modeling, algorithm development, and data science principles.

Excellent analytical, critical thinking, and problem-solving skills, coupled with superior written and verbal communication abilities.

Experience in scientific visualization and big data technologies is a plus.

This is an exceptional opportunity to make a significant impact in scientific research from Washington, D.C., US.