Posted:2 days ago|
Platform:
On-site
Full Time
Sprinklr is the unified platform for all customer-facing functions. We call it unified customer experience management (Unified-CXM). We help companies deliver human experiences to every customer, every time, across any modern channel, at a once impossible scale. Headquartered in New York City with over 2,400 employees globally, Sprinklr works with more than 1,000 of the world’s most valuable enterprises — global brands like Microsoft, P&G, Samsung, and more than 50% of the Fortune 100. Learn more about our culture and how we make our employees happier through The Sprinklr Way. What Does Success Look Like In your role as a Staff Research Scientist, you will be tasked with creating innovative machine learning research for the next generation of digital customer experience applications. What You’ll Do Work in collaboration with a multidisciplinary team of AI researchers with expertise in GenAI, computer vision, speech recognition, NLP, and related fields. Contribute to the development of the long-term technical roadmap for AI research at the company. Conduct AI research using CXM data to innovate and potentially patent or publish findings, while clearly communicating progress and results both internally and externally through written and oral reports. Work closely with product development teams to integrate AI technologies into products and services. Partner with engineering leads to ensure seamless translation of research into practical and scalable AI applications. Work on publishing research papers and filing patents for Sprinklr AI innovations. What Makes You Qualified Candidates should hold a Bachelor's degree in Computer Science, Computational Linguistics, or a related field, emphasizing AI, machine learning, computer vision, or speech processing, with a minimum of 4 years of relevant experience. Alternatively, a Master's degree with at least 3 years of experience is also considered. Strong publication record in top-tier AI, ML, computer vision, or speech processing conferences and journals is a plus. Industry experience in ML, DS, AI research, with a focus on multimodal AI technologies. Proficiency in machine learning frameworks and programming languages relevant to AI, computer vision, and speech processing. Exceptional communication skills, with the ability to articulate complex technical concepts to diverse audiences.
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