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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: Hybrid, working onsite at our San Jose office/headquarters 3-5 days per week, with the flexibility to work remotely the remainder of your time

Reports to: Staff Engineer, Machine Learning

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 Bachelors, Masters, or 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. 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
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.

What We Offer

The pay range below is for all roles at this level across all US locations and functions. Individual pay rates depend on a number of factors—including the role’s function and location, as well as the individual’s knowledge, skills, experience, education, and training.

This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.

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.

Hourly Base Pay Rate

$28—$62 USD

Equal Opportunity Employment Policy

Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.

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.

Recruiting Agency Policy

We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.

Covid-19 Policy

To help keep our employees, customers, and communities safe, we’ve developed guidelines for our teams. Currently, we encourage vaccination for all employees and may require it depending on job functions (e.g., traveling for business, meeting with customers). While visiting our offices or attending team events, we ask employees to complete a daily health questionnaire and complete a weekly COVID test. Our COVID policies are subject to change depending on public health, regulatory and business circumstances.

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