2026 Internship AI Science Lab Research

Posted 5 Hours Ago
Be an Early Applicant
Mountain View, CA, USA
In-Office
30-30 Hourly
Internship
Cloud • Information Technology • Logistics • Software
The Role
Intern will develop and fine-tune AI models for specific tasks, support research publication, and collaborate within a team environment in a corporate R&D lab.
Summary Generated by Built In

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.


Requirements

Eligibility criteria:

  • Must be enrolled in a graduate degree or PhD program with a graduation date in 2027, 2028, or 2029.
  • 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, 2026
  • Must be able to commute to the office to work at least 3 days onsite in our office in Mountain View, CA

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.

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.

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

Preferred qualifications: 

  • 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

How to apply:

Please submit your application along with your resume and cover letter outlining your interest in the internship and relevant qualifications. 


Applications deadline: March 31, 2026

Samsung SDS America, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, status as a protected veteran, marital status, genetic information, medical condition, or any other characteristic protected by law.

We are committed to providing reasonable accommodations to participate in the job application or interview process for candidates with disabilities. If you need assistance and/or a reasonable accommodation, please send the request to your recruiter.


Benefits

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
  • Hourly Rate: $30 per hour

Skills Required

  • Current or graduated M.S./Ph.D. candidate in Artificial Intelligence, Robotics, Computer Vision, NLP, Applied Math, or Data Science
  • Advanced Python programming with PyTorch / TensorFlow experience
  • Linux environment navigation and shell scripting
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The Company
0 Employees
Year Founded: 1997

What We Do

Samsung SDS America is a global provider of IT services, cloud computing, digital logistics, and enterprise digital transformation solutions. They operate in IT Service and Logistics segments, offering consulting, system design, integration, and global logistics services.

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