Manhattan WMOS Engineer
ShyftLabs
Support Manhattan WMOS implementations and operations as a WMS Engineer at ShyftLabs. ShyftLabs builds data products and digital solutions for Fortune 500 companies.
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द वॉल्ट डिज़्नी कंपनी कहानी कहने, किरदारों और अतिथि अनुभवों पर आधारित एक वैश्विक मनोरंजन व्यवसाय है। इसके संचालन में थीम पार्क और रिसॉर्ट, मीडिया नेटवर्क, फ़िल्म स्टूडियो और इंटरैक्टिव मीडिया शामिल हैं। इसके उत्पाद और अनुभव दुनिया भर में विभिन्न प्लेटफ़ॉर्म और उपकरणों के माध्यम से दर्शकों तक पहुँचते हैं। 1923 में स्थापित डिज़्नी मनोरंजन, आतिथ्य, यात्रा तथा खाद्य और पेय क्षेत्रों में कार्यरत एक बड़े अंतरराष्ट्रीय कार्यबल को एक साथ लाता है और उपभोक्ता डेटा के प्रबंधन में गोपनीयता, पारदर्शिता तथा अनुपालन पर ध्यान बनाए रखता है।
Principal Software Engineer, Video Coding and Streaming
Lead research and development in video coding, processing, and streaming, with a focus on machine learning and AI. Shape platform architecture, contribute to industry standards, and advance technical work across Disney’s global team.
विवरण
- Research and develop next-generation image and video coding, with emphasis on machine learning and AI methods.
- Represent Disney at AOM and engage with academic research groups, conferences, MPEG, IETF, VQEG, and other standards organizations.
- Advance computer vision algorithms and applied machine learning and AI techniques through research and development.
- Work on media enhancement, understanding, analysis, compression, and storytelling applications.
- Research and implement video processing, encoding, and end-to-end streaming for live and on-demand media.
- Design video algorithms and software workflows that improve the media platform’s speed, scale, and efficiency.
- Provide technical leadership and domain expertise within the organization and across the field.
- Advance platform architecture and generate intellectual property internally and through standards work.
- Help shape technical strategy and represent the organization in technical discussions.
- Partner regularly with senior leaders to advance major technical initiatives.
- Collaborate with the global CMT team across Zurich, Bangalore, the United States, and Beijing.
आवश्यकताएँ
- At least 10 years of experience in a related field.
- Deep knowledge of video coding standards, including AV1, AV2, AVC, HEVC, and VVC.
- Strong algorithmic expertise in traditional block-based and emerging neural network-based video coding tools.
- Experience applying deep learning to video enhancement, understanding, coding, and analysis.
- A record of generating intellectual property.
- In-depth knowledge and experience with multimedia stacks, frameworks, and video coding and processing methods.
- Demonstrated success in research or advanced development in video coding, media processing, or a related area.
- A degree in electrical engineering, computer engineering, computer science, or a related field, plus at least 10 years of directly relevant industry experience in video codecs.
- Experience with C/C++ and Python.
- Extensive experience deploying and optimizing AI and machine learning models and frameworks, including latent variable generative models and finite-precision optimization.
- Applied knowledge of media metadata and processing.
- Applied knowledge of adaptive bitrate algorithms and transport formats.
- Knowledge of the GStreamer media framework.
- Experience building web applications or dashboards for data visualization.
- Experience working with Docker.
- Experience developing web services and REST APIs, and working with XML and JSON.
- Experience with release management, continuous delivery and integration tools, and Git or GitHub.
- Experience with high-load, highly scalable, distributed applications.
लाभ
- A bonus and/or long-term incentive units may be offered.
- Medical, financial, and/or other benefits.
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