Sr Data Visual Research Scientist 2 of 2
3 weeks ago
Necessary technical knowledge to create new SW architecture, platforms, and enabling systems needed for real-time, just-in-time processing for audio/video algorithms running on distributed fashion between cloud and edge devices. Basic knowledge on Audio/Video streaming formats.Explore new technologies
: Openness to learn new areas and innovate in the new areas.Invent & Innovate:
Develop short and long-term technologies, algorithms and software tools that will help make Dolby a world leader in enhancing the sight and sound associated with digital content consumption. Then influence and collaborate with BG partners put the technology into production.Work with a sense of Urgency:
Responds aggressively to changing trends and new technologies and creates new algorithms to capitalize on them. Takes appropriate risks to be ahead of the competition and the market.Collaborate:
Collaborate with and influence peers in developing industry-leading technologies. Work with external trendsetters and technology drivers in academia and in partner enterprises.Desired BackgroundPhD in Computer Science, or similar fieldsExpertise in data visualization, human computer interaction, or big data analytic techniquesKnowledge of statistics and machine learningProficiency in data structures and algorithmsExpertise in visualizing complex data in popular frameworks (such as ggplot, d3, matplotlib, plotly, bokeh, etc.)Expertise with streamlit, Dash, and other popular “data app” platformsFamiliarity with deep learning frameworks, e.g., TensorFlow, PyTorch, etc., is a plus.Familiar with git and project management tools, such as JIRAExcellent problem-solving and partnership skillsExcellent communication and presentation skillsExperience with AI models and cloud-based software development of AI models.Relevant publications in data visualization conferences (e.g., CHI, UBICOMP, UIST, CSCW, Mobile HCI, InfoVis, EuroVis, VAST, VDS)Bonus: Experience with Databricks / Spark in addition to using multiple Cloud services’ data products and servicesBonus: Experience with popular commercial BI and Analytical tools such as Power BI, Tableau, etc.*LI-SB1
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