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Internship
postgraduate degree
Posted 41d ago
~40 hrs/week
Remote in New York, New York, United States, Tokyo, Japan
Responsibilities
Investigate and apply novel algorithms for the generation and editing of video, sound, and 3D visual geometry. Analyze and mitigate ethical flaws in generative models with the goal of publishing findings in top-tier conferences.
Requirements
Requires a Master's degree in Computer Science or a related field with proven expertise in deep generative modeling and PyTorch. Candidates must have a track record of publishing papers at top-tier AI conferences like CVPR or NeurIPS.
Full job description
Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony’s new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony’s other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/
Position Summary
Sony AI is seeking research interns who are passionate about ML-based technologies that are useful inmovie,game, and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film,game, and music production across entertainment studios worldwide.
Responsibilities
As a research intern, you will investigate and apply novel algorithms related to:
The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.
Your goal will be to publish your findingsina top-tier conference. You are expected to be self-motivated andto implementinnovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts.
Required Qualifications
Master’s degree in Computer Science, Electrical Engineering, Applied Mathematics, or related fields.
Proven knowledge andexpertisein generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g.,PyTorch) and visualization (e.g.,TensorBoard).
Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV,NeurIPS, ICLR, and ICML.
Excellent communication and presentation skills.
Preferred Qualifications
Currentlyenrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines.
Working Location
Location flexible (Tokyo, NYC, remote)
The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime.
#LI-AS1
All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.
Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at [email protected] or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.
We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com. Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact [email protected] before submitting any information.
At Sony Biotechnology, our flow cytometry and imaging products reflect our full commitment to produce and support high quality, innovative products to support advanced biomedical research. Founded in 1995, we are based in San Jose, California with affiliate offices in Japan, China and Europe.
Innovation
Research and Development as well as engineering teams are based in Japan. Their innovative approaches and technical know-how is incorporated into our product platforms has been recognized in patents as well as numerous technology and design awards.
For example, to improve stability, our systems allow direct monitoring of particle flow status using technology originally developed for the Blu-ray disk that delivers error free performance while operating at very high speed. In conventional flow cytometers, this accuracy largely depends on skillful operators.
To deliver very low noise electronics, our systems incorporate technologies that have brought pure, true sound to music. This Sony know-how reduces signal noise from the electric circuit currents to achieve very low noise electronics so that rogue signal noise does not get in the way of delivering accurate results to scientists.
Importantly, our innovations also come from looking beyond the conventional made possible by constant sensing and deep study of advanced technologies for superior solutions to customer challenges. Our use of microfluidics and spectral analysis are two examples of this innovative approach to product design and development.
Offices: 1730 N. First Street, San Jose, CA 95112, US
Flow Cytometry Instruments and Flow Cytometry ReagentsBiotechnologyManufacturingPharmaceutical
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