Sony Corporation of America
Published
20/05/2020
Location
Category
Job Type
Work Hours
9-17
Street Address
1730 N 1st St

Description

JR-102349
Sony Corporation of America, located in New York, NY, is the U.S. headquarters of Sony Corporation, based in Tokyo, Japan. Sony's principal U.S. businesses include Sony Electronics Inc., Sony Mobile Communications (USA) Inc., Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., Sony Music Entertainment, and Sony/ATV Music Publishing LLC. 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: www.sony.com.

Nearly 70 years ago, Masaru Ibuka founded our great company with just one, primary motive: "to create a stable work environment where engineers who have a deep and profound appreciation for technology can realize their societal mission and work to their heart's content.” Today, we not only celebrate the enduring history of our world-changing products and the prodigious minds behind them but seek far and wide to rally the most talented and passionate engineers in the world to our cause. Together, we work as "One Sony", built and driven by engineering; intensely focused on delivering the experiences that put that beaming smile on our customers’ faces, time after time.

Sony R&D Center US, San Jose, CA is seeking to welcome the best and the brightest into our world-class R&D team, and if you’re up to the challenge, we’d love to see what you’ve got. We’re inventing right here the technology and products that go on to touch customer’s lives all over the world, and soon we could be working to bring your ideas to life.

All candidates must be authorized to work in the USA.

Sony is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, sex (including pregnancy), gender, national origin, citizenship, ancestry, age, physical or mental disability, military status, status as a veteran or disabled veteran, sexual orientation, gender identity or expression, marital or family status, genetic information, medical condition, or any other basis protected by applicable federal, state, or local law, ordinance, or regulation.

Responsibilities

Investigate and utilize complex engineering and mathematical principles to develop core technologies.
Contribute to research projects that develop a variety of algorithms and systems in bioinformatics, computer vision, image and video analysis.
Assess and improve algorithm performance on a variety of platforms.
Analyze and determine system standards and test procedures.
Evaluate identifiable factors and demonstrate good judgment in selecting methods and techniques for obtaining solutions.
Advance the state-of-the-art in the field, including generating patents.
Prototype and implement image and video analysis product components.
Work with researchers in global locations to understand algorithm requirements and deliver high-quality solutions.

Qualifications

Preferred experience:
Strong theoretical and practical background in Computer Vision, Image and Video analysis, specifically Object Detection, Tracking, Segmentation, Optical Flow, Optimization, Biological Imaging are a strong plus
Proven ability to develop new research ideas as demonstrated by a strong publication record and early developments to the level of a working system prototype is a strong plus
Excellent programming skills in Python/Matlab or C/C++ is a strong plus
Solid knowledge on Deep Learning frameworks such as Torch/PyTorch or TensorFlow

Experience Requirements

Strong knowledge of fundamentals in feature extraction, computer vision, and image/video analysis, including Deep Learning
Working knowledge in life science imaging, system biology, or single-cell analysis.

Education Requirements

Ph.D. Degree in Biomedical/Electrical/Computer Engineering, Computer Science, or Life Science areas

Skills

Must be self-motivated and creative, with proven analytical skills, excellent research record, and ability to communicate effectively
Flexibility and adaptability to work and collaborate with researchers in global locations
Must be able to travel domestically and internationally if required

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