Machine Learning Intern - Remote

Overview

This internship offers an opportunity to work on innovative projects applying machine learning to organic material research, collaborating with a dynamic team of researchers and engineers.

In Short

• Collaborate with multidisciplinary teams on machine learning applications.
• Design and validate ML models for molecule property prediction.
• Develop simulation platforms for research outputs.
• Integrate data analytics frameworks for experimental data.
• Engage with academic communities for paper publications.
• Work in a hybrid environment with onsite and remote flexibility.
• Gain hands-on experience in machine learning and AI.
• Participate in cutting-edge research in computational organic materials.
• Receive mentorship from experienced professionals.
• Contribute to innovative discoveries in material science.

Requirements

• Pursuing a degree in Computer Science, Computational Chemistry, or Material Science.
• At least 1 academic quarter/semester remaining.
• Experience with DFT and MD simulation tools.
• Knowledge of deep learning and machine learning methods.
• Ability to adapt standard ML methods for distributed and GPU clusters.
• Strong problem-solving and collaborative skills.
• Curiosity and resilience in approaching challenges.
• Inclusive and adaptable to diverse global norms.
• Innovative mindset with a proactive approach to new ideas.
• Willingness to experiment and drive results.

Benefits

• Competitive hourly pay rate.
• Relocation support for candidates living 50+ miles away.
• Housing stipend for summer interns.
• Charitable giving match and community involvement opportunities.
• Emphasis on emotional wellness with paid therapy sessions.
• Access to onsite gym and virtual fitness classes.
• Flexible work environment to balance personal and professional life.
• Diverse benefits package focused on employee wellbeing.
• Mentorship and professional development opportunities.
• Inclusive workplace culture promoting diversity and innovation.