2026 Internship AI Science Lab

Samsung SDS America • Mountain View, CA

2h • Onsite

About The Position

Samsung SDS is a global IT services and solutions leader that helps enterprises accelerate digital transformation. Combining deep industry expertise with advanced technologies — including cloud, AI, data analytics, and secure enterprise platforms — Samsung SDS America, the North America subsidiary, designs and delivers scalable, outcome-driven solutions that improve operational efficiency, reduce risk, and unlock new business value across finance, manufacturing, retail, and public sectors.
Why Join Samsung SDS America?
Becoming part of our team means being at the forefront of innovation. You’ll collaborate with talented individuals—thought leaders, visionaries, and problem solvers—who are passionate about shaping the future of technology.
Here, your ideas matter. Whether you’re just starting out or a seasoned professional, you’ll find endless opportunities to grow and make a lasting impact. We foster a culture of collaboration, learning, and creativity, offering you the tools to hone your skills and realize your full potential.
Position Summary:
Want to be at the forefront of AI research? You’ll gain hands on experience developing and fine-tuning techniques that enable Robot Foundation Models (RFMs) perform precise and domain-specific real-world tasks beyond the capabilities of off-the-shelf models. You’ll design methods for transferring task knowledge across robots with diverse form factors, allowing consistent task execution on both homogeneous and heterogeneous robot platforms.
As an intern, you’ll improve in accuracy and efficiency of Physical AI models both in simulated and real environments and contribute to producing high-quality publication. You’ll gain hands-on experience of learning and building state-of-the-art Physical AI technologies and an understanding of business relevance of modern Physical AI technologies. Lastly, you’ll gain organizational and communication skills in a corporate R&D environment.
This role is based in our office in Mountain View, CA. This is a full- time internship role (up to 40 hours per week for 10 weeks) from June 8th through August 13th.

Requirements

• Current or graduated M.S./Ph.D. candidate in Artificial Intelligence, Robotics, Computer Vision, NLP, Applied Math, or Data Science
• Research skill, Collaboration, Accountability, Self-Management, Escalation and Project Management
• Advanced Python programming with PyTorch / TensorFlow experience
• Linux environment navigation and shell scripting
• Must be enrolled in a graduate degree or PhD program with a graduation date in 2027 or 2028.
• Must be authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future.
• 10-week commitment for 40 hours per week with availability to start June 8th, 2025
• Must be able to commute to the office to work at least 3 days onsite in our office in Mountain View, CA

Nice To Haves

• Hands-on experience configuring and training transformer models for NLP, computer vision, or robotics applications
• Publications in top-ranked AI conferences
• Ability to efficiently communicate technical contents in verbal and written form

Responsibilities

• Develop & Test Fine‑Tuning Methods
• Create algorithms that adapt RFMs for precise, domain‑specific tasks beyond generic model capabilities.
• Cross‑Robot Knowledge Transfer
• Design and evaluate techniques enabling task knowledge sharing between robots of different form factors (both homogeneous and heterogeneous platforms).
• Experimentation & Evaluation
• Conduct simulations and real‑world robot trials; collect and analyze performance metrics such as accuracy, efficiency, and robustness.
• Documentation & Reporting
• Maintain detailed experiment logs, produce technical reports, and support internal presentations.
• Research Publication Support
• Assist in drafting conference papers and posters that showcase internship results.
• Collaboration
• Work closely with a mentor, supervising research team, and other interns to integrate findings into broader lab objectives.

Benefits

• As an early career professional, you will be part of a paid internship program that will include a robust learning and training curriculum, mentorship from employees in your selected field, access to senior leaders, and more

What This Job Offers

• Job Type: Full-time
• Career Level: Intern