Intern, Machine Learning

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Advancing the Worlds 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 youll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of whats possible and powering the future.

We believe innovation and growth are driven by an inclusive culture and a diverse workforce. Were dedicated to empowering people to be their true selves. Together were building a better tomorrow for our employees customers partners and communities.

What Youll Learn

• Project Overview: Artificial Intelligence for Science in Computational Organic Material
• Skills Youll 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 Youll 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 youll collaborate on innovative projects that transform data into insights and breakthrough discoveries of new material. Over the summer youll immerse yourself in an environment that values creativity collaboration and cutting-edge experimentationworking alongside experts who are as passionate about technology and science as you are.

Location: Onsite at our San Jose office 5 days a week

• 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

What You Bring

• Pursuing PhD in Computer Science Computational Chemistry Material Science preferred.
• Must have at least 1 academic quarter/semester remaining
• Experience in DFTMD simulation tools such as ORCA Q-Chem GROMACS
• Experience in deep learning. Specific machine learning skills in GNN reinforcement learning is plus.
• 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
• Youre 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.
• Youre collaborative building relationships humbly offering support and openly welcoming approaches.
• Innovative and creative you proactively explore new ideas and adapt quickly to change.

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When selecting team members we prioritize talent and qualities such as humility kindness and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities long-term conditions neurodivergent individuals or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.

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Experience:

Intern