Machine Learning Researcher

Liberty Personnel Services, Inc.; Princeton (NJ); On-site; USD 80,000 - 130,000; Full time

Job summary

A leading company at the forefront of artificial intelligence and machine learning is seeking highly skilled researchers with a focus on physics-informed machine learning applied to drug design. This role offers a collaborative environment that promotes creativity and professional growth, ideal for those passionate about original research and contributing to impactful projects.

Qualifications

• PhD in Computer Science, Electrical Engineering, Statistics, or related discipline.
• Proven experience in machine learning research with a strong publication record.
• Extensive knowledge in algorithms and numerical computation.

Responsibilities

• Conduct original research in physics-informed machine learning for drug design.
• Collaborate with a pioneering team on diverse AI-driven projects.
• Contribute to publications in top-tier ML conferences such as ICML, NeurIPS, and ICLR.

Skills

Machine Learning

Algorithms

Numerical Computation

Programming in Python

Programming in C/C++

Deep Learning (PyTorch/TensorFlow)

Education

PhD in Computer Science

PhD in Electrical Engineering

PhD in Statistics

PhD in related discipline

Job description

My client is looking for researchers who have several first-author publications on ICML, NeurIPS, and ICLR on physics informed machine learning with applications to drug design.

Join a pioneering team at the forefront of artificial intelligence and machine learning development. Our innovative research has contributed to groundbreaking products and services in diverse fields such as drug discovery, video analytics, and personalized healthcare. Work in a collaborative environment that values original research, encourages creativity, and facilitates professional growth.

Qualifications:

• PhD in Computer Science, Electrical Engineering, Statistics, or related discipline
• Proven experience in machine learning research with a robust publication record
• Extensive knowledge in algorithms and numerical computation
• Proficient programming skills in Python, C/C++, or other languages
• Familiarity with deep learning frameworks like PyTorch or TensorFlow is an advantage

If interested, please forward your resume to [e-mail] along with the link to your first-author publications on ICML, NeurIPS, and ICLR on physics informed machine learning with applications to drug design.

Keywords: Machine Learning, Researcher, AI, Deep Learning, Natural Language Processing, Princeton, Physics-Informed Machine Learning, Drug Design, Computational Algorithms