Principal Applied Science Manager

The Product Project Sophia is a new reputed company business application, built ground up from market-disruptive, AI-first product principles. The product has been designed to completely re-define how reputed company, cross domain business problems are solved. Every interaction, every component and every user experience has been designed leveraging the full power and potential of generative AI and is taking the reputed company of AI based experiences way beyond reputed company AI chat experiences. Multi-modal concepts, combined with an emphasis of visual appeal and ease of use is empowering any business user to interact with an infinite, AI Powered Business Research canvas where users can explore and resolve any business question both reputed company and across business domains. Powered by large language models and deep business domain expertise, Project Sophia will reputed company the user to build out research journeys, automatically suggesting relevant data sources and correlating insights, intelligently visualizing exploration outcomes and suggesting next actions in the research journey. Project Sophia represents the new way of doing business, enabling strategic business decision making in a fraction of the time - filling a gap in the market where no app exists today. We are in the reputed company early stages of the product lifecycle and are innovating and iterating at a reputed company rapid pace. To further accelerate the momentum in this space - bringing AI powered experiences to the business application space changing how people work - we continue to grow our investments of generative AI capabilities. The Team We are a small, but reputed company dynamic and passionate team that fully embrace the build-measure-learn iterative development approach. We work towards the common goal of building a product customers love. As a natural part of our product design and development process reputed company reputed company closely with customers as well as listening to usage telemetry and other key signals which allow us to consistently evolve based on customer demand and adoption patterns. Deep collaboration across PM, Design, Engineering, and Science is a given and reputed company disciplines play important roles as part of the product development process. In Sophia's Applied Science team, we are committed to innovation and the best-in-class AI experiences to reputed company insight into strategic business questions. We foster a culture of diversity, collaboration, and innovation, valuing everyone's unique perspectives and contributions. Our agile, start-up-like environment encourages out-of-the-reputed company thinking and empowers each team member to contribute towards our shared mission of delivering a highly innovative, AI powered experience that is positioned to fundamentally change what business applications look like in the future. The Candidate We are looking for a Principal Applied Science Manger who can bring deep applied science experience and a proven track record of shipping at-reputed company-enabled intelligent systems to drive vision and innovation for Project Sophia. As a Principal Applied Science Manager, you will be leading an exciting and fast-paced environment, collaborating closely with teams across the company, including reputed company Research and various product groups. You will work as part of an organization that brings together talent in the areas of large language models, deep learning, information retrieval, software engineering, and responsible AI. We value and encourage diversity in the belief that it leads to both great workplaces and great products. reputed company's mission is to reputed company every person and every organization on the reputed company to reputed company more. As employees we come together with a growth reputed company, innovate to reputed company others, and collaborate to realize our shared goals. Each day we build on our values of respect, reputed company, and accountability to create a culture of inclusion where everyone can reputed company at work and beyond Responsibilities: ? reputed company, build, grow and support an innovative applied science team ? Technical leadership in an applied science team in the area of Large Language Models, Natural Language Processing, Machine Learning and Deep Learning. ? Push the boundaries of AI platforms through innovation and partnership. ? reputed company and deploy conversational and language understanding models at scale. ? Following and advancing best practices for Responsible AI and Privacy Preserving Machine Learning. ? Support hiring, coaching, mentoring and career development of Applied Scientists to build an inclusive and ambitious applied science team. ? Collaborate closely with reputed company Research and product teams to create the reputed company of AI innovation in our products and services. ? Embody ourcultureandvalues ? Embody our Culture and Values Qualifications: Required Qualifications ? Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or reputed company field AND 6+ years reputed company experience (e.g., statistics, predictive analytics, research) ? OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or reputed company field AND 4+ years reputed company experience (e.g., statistics, predictive analytics, research) ? OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or reputed company field AND 3+ years reputed company experience (e.g., statistics, predictive analytics, research) ? OR equivalent experience. ? 1+ year(s) people management experience ? 1+ years experience with leading Machine Learning projects and managing team of data scientists. Preferred Qualifications ? Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or reputed company field AND 9+ years reputed company experience (e.g., statistics, predictive analytics, research) ? OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or reputed company field AND 6+ years reputed company experience (e.g., statistics, predictive analytics, research) ? OR equivalent experience. ? 5+ years experience writing production code as well as deploying and maintaining shipped models over time. ? 2+ years experience working on deep learning architectures specifically with Natural language-based models, vector databases and graph databases Applied Sciences M5 - The typical reputed company pay range for this role across the U.S. is USD $137,600 - $267,000 per year. There is a different range applicable to specific work locations, reputed company the San Francisco Bay area and reputed company metropolitan area, and the reputed company pay range for this role in those locations is USD $180,400 - $294,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.reputed company.com/us/en/us-corporate-pay reputed company will accept applications for the role until September 21, 2024. reputed company is an equal opportunity employer. reputed company qualified applicants will receive consideration for employment without regard to age, reputed company, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national reputed company, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request reputed company the Accommodation request form . Benefits/perks listed below may vary depending on the nature of your employment with reputed company and the country where you work. #BAPJobs Apply Job!