Intern, Machine Learning

Samsung Semiconductor • San Jose, CA

13h • $28 - $62 • Onsite

About The Position

Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World’s Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities. What You’ll Learn Project Overview: Artificial Intelligence for Science in Computational Organic Material Skills You’ll Learn: Machine Learning & AI: Gain hands-on experience designing, implementing, and validating algorithms in the context of computational organic materials. Data Analysis & Simulation: Develop proficiency in data preprocessing, feature engineering, and simulation platforms essential for modeling complex molecular behaviors. Collaborative Research: Learn effective collaboration with multidisciplinary teams, engaging with experts from research, engineering, and academic backgrounds to solve challenging scientific problems. What You’ll Do Our team is at the forefront of applying machine learning to real-world organic material research. As part of a dynamic group of researchers, engineers, you’ll collaborate on innovative projects that transform data into insights and breakthrough discoveries of new material. Over the summer, you'll immerse yourself in an environment that values creativity, collaboration, and cutting-edge experimentation—working alongside experts who are as passionate about technology and science as you are. Location: Onsite at our San Jose office 5 days a week

Requirements

• Pursuing PhD in Computer Science, Computational Chemistry, Material Science preferred.
• Must have at least 1 academic quarter/semester remaining
• Experience in DFT,MD simulation tools such as ORCA, Q-Chem, GROMACS
• Experience in deep learning.
• Experience in adapting standard machine learning methods (e.g. distributed clusters, and GPU clusters)
• A willingness to dive deep, experiment rapidly and get things done
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

Nice To Haves

• Specific machine learning skills in GNN, reinforcement learning is plus.

Responsibilities

• Collaborate with a multidisciplinary team of researchers and engineers to drive advancements in machine learning applications for organic material research
• Participate in cutting-edge research by designing, developing, and validating innovative ML models tailored to molecule property prediction and generation
• Develop and refine simulation platforms by integrating state-of-the-art tools and methodologies, ensuring robustness and scalability of research outputs
• Integrate advanced data analytics frameworks to manage, preprocess, and interpret experimental data, enabling actionable insights for material innovation
• Engage with academic communities toward paper publications
• Complete other responsibilities as assigned

Benefits

• Relocation Support Live 50+ miles away from your new office? No worries! We'll provide a stipend to help support your move.
• Housing Stipend Signing a lease on a new place for your summer internship? We'll help you pay your way with a monthly stipend.
• Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
• Prioritize Emotional Wellness With on-demand apps and paid therapy sessions, you’ll have support no matter where you are.
• Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
• Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.

What This Job Offers

• Career Level: Intern
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees