Media Analytics (MA) Research Intern - 2027

Nec Labs

San Jose (CA)

In loco

USD 84.000 - 100.000

Tempo pieno

38 ore fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Paid company holidays
Fitness areas access
Travel allowance
Housing allowance
Team events

Descrizione del lavoro

NEC Laboratories America, Inc. in San Jose, California, seeks a Media Analytics (MA) Research Intern for Summer 2027. The intern will work closely with the research team to explore creative directions in computer vision with potential for high industry impact.

Ideal candidates are pursuing a PhD in computer vision, with interests in autonomous driving, embodied AI, foundation models, and diffusion-based visual synthesis. Intern projects may lead to papers in CVPR/ICCV/ECCV and related venues.

Competenze

  • Outstanding applicants pursuing a PhD in all areas of computer vision are encouraged to apply.
  • Intern projects lead to student-led papers at CVPR, ICCV and ECCV.

Mansioni

  • Work closely with the research team to explore creative directions with potential high impact.
  • Contribute to research in Summer 2027 and publish results in top venues.

Conoscenze

Autonomous driving
Embodied AI
Foundation models
Visual synthesis
Computer vision

Formazione

PhD in computer vision

Descrizione del lavoro

Media Analytics (MA) Research Intern - 2027

Location San Jose, CA

Department Media Analytics

Description

The Media Analytics Department of NEC Labs America at San Jose, California, is seeking the next generation of thought leaders in computer vision for research internships in Summer 2027. Our interns work closely with the research team to explore creative directions with a potential for high impact in industry and the broader community.

Position Requirements

Outstanding applicants pursuing a PhD in all areas of computer vision are encouraged to apply, including but not limited to the following:

  • Autonomous driving and embodied AI
  • Agentic AI: self-evolution, discovery and safety
  • Foundation models: VLAs and world action models
  • Visual synthesis: neural rendering and diffusion models

Intern projects at NEC Labs result in student-led papers published at top-tier venues such as CVPR, ICCV and ECCV. If you are as thrilled as us about advances in computer vision, join us for a fun-filled Summer 2027! To check out our latest work, please visit:https://www.nec-labs.com/media-analytics/

The anticipated compensation range for this position is $7,500 to $9,000/month, depending upon the selected candidate’s relevant experience and area of expertise. NEC offers its interns paid company holidays, access to fitness areas as well as travel and housing allowance, if applicable. We offer a collaborative, friendly and growth-oriented atmosphere that includes team events, such as onsite ping pong, access to gym facilities, basketball courts, complimentary snacks and beverages and monthly tea-time events.

ABOUT NEC LABORATORIES AMERICA

NEC Laboratories America, Inc. (NEC Labs) is the US-based research center for NEC Corporation’s global network of corporate research laboratories with locations in Princeton, New Jersey, and San Jose, California. NEC Corporation is a leader in integrating IT and network technologies with more than 100 years of expertise in technological innovation to empower people, businesses, and society. We focus on technology research and early market penetration in five primary areas: Data Science & Systems Research, Integrated Systems, Machine Learning, Media Analytics, and Optical Networking & Sensing. Since our founding in 1988, NEC Labs America has strived to uncover essential knowledge and create innovative solutions for society in collaboration with industry, academia, and governments.

NEC Laboratories America is committed to the maximum utilization of all human resources and the goal of Equal Employment Opportunity/Affirmative Action. We provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, marital status, disability, genetic characteristics, height, weight, arrest record pertaining to misdemeanors or status as a Vietnam era or special disabled veteran, or any other class protected by applicable federal, state, or local laws.

EOE-Minorities/Females/Protected Veterans/Individuals with Disabilities.

This position is currently accepting applications.

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