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Fall Intern, ML​/NLP Research

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Samsung Research America (SRA)
Apprenticeship/Internship position
Listed on 2026-07-03
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 66124 - 86788 USD Yearly USD 66124.00 86788.00 YEAR
Job Description & How to Apply Below
Position: 2026 Fall Intern, ML/NLP Research

Lab

Summary:

AI Research Center (AIC) located in Mountain View, California focuses on research and development that directly impacts future Samsung products reaching hundreds of millions of users worldwide. We are focused on pushing the state-of-the-art and practice in natural language and knowledge intelligence.

Position Summary: Samsung Research AI center, located in Mountain View, CA, is currently recruiting world‑class students who can thrive in a fast‑paced, cross‑team, results‑driven environment, with focus on highly visible, challenging, and cross‑discipline projects. You will be part of an exciting project to build an adaptive, personalized, contextual and secure AI model and system to enable fast, accurate and safe interactions tailored to users’ needs on Samsung devices.

Position

Responsibilities
  • Develop and implement novel deep learning / reinforcement learning algorithms for natural language processing (text, speech) in various applications.
  • Contribute to the research activities of our team.
  • Generate creative solutions (patents) and publish in top conferences (papers).
Required Skills
  • Current Ph.D. student in CS, EE, or related field.
  • Experience in one or more of the following areas:
    • LLM including model architecture, training / fine tuning techniques, retrieval augmented generation (RAG), reasoning and action planning, etc.
    • Planning, tool use, agent AI, and agent memory to develop autonomous systems for decision‑making, problem‑solving, and adaptability.
    • Knowledge augmented AI technologies (e.g., language prompt, knowledge graph, neuro‑symbolic learning).
    • Conversational AI technologies: natural language processing, dialogue state tracking, policy learning, representation learning (embedding, conceptualization, etc.).
    • Multimodal AI technologies for various multimodal applications.
    • On‑device AI technologies such as lightweight model architecture design.
  • Teamwork and communication skills.
  • Proficiency in a neural network library (e.g., PyTorch, Tensor Flow).
  • Track record of research/publications on machine learning and artificial intelligence (NeurIPS, ICML, ICLR, AAAI, IJCAI, CVPR, ACL, EMNLP, NAACL, TACL, etc.).

Hourly Pay Rate Range: $48 - $63 USD. This is part of a comprehensive compensation package with annual bonus eligibility and generous benefits.

Additional Information: Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a current or previous employer.

Essential Job Functions: This position will be performed in an office setting. The role requires the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment such as telephones and computers.

Samsung Research America is committed to complying with all federal, state and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email

At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.

Samsung Research America is committed to employing a diverse workforce and provides equal employment opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

For more information regarding protection from discrimination under federal law for applicants and employees, please refer to the pay transparency statement.

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