Intern, Machine Learning Research Scientist

3 Months ago • Upto 1 Years • Research & Development

Job Summary

Job Description

This internship focuses on applying machine learning to real-world organic material research. Collaborating with researchers and engineers, the intern will design, develop, and validate ML models for molecule property prediction and generation. Responsibilities include developing and refining simulation platforms, integrating data analytics frameworks, and contributing to academic publications. The role involves working with DFT, MD simulation tools (ORCA, Q-Chem, GROMACS), deep learning (GNN, reinforcement learning a plus), and adapting standard ML methods for distributed and GPU clusters. The internship is hybrid, requiring 3-5 days per week on-site at the San Jose office.
Must have:
  • Pursuing BS/MS/PhD in relevant field
  • Experience with DFT/MD simulation tools
  • Deep learning experience
  • Adapting standard ML methods
Good to have:
  • GNN, reinforcement learning experience
Perks:
  • Relocation support
  • Housing stipend
  • Charitable giving match
  • Paid therapy sessions
  • Onsite café and gym
  • Flexible environment

Job Details

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 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

  • 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.

 

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

  • 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.

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

 

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. 

Applicant Privacy Policy
https://semiconductor.samsung.com/us/careers/privacy

 

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