Senior Director – Machine Learning Research

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October 4

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Sprinklr

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SaaS • Artificial Intelligence • Enterprise

Sprinklr is a leading provider of enterprise software for customer experience management. It offers a unified platform that integrates various digital and social channels to optimize customer engagement and marketing efforts. Key products include Sprinklr Service, Sprinklr Social, Sprinklr Insights, and Sprinklr Marketing, focusing on enhancing customer service, social media interactions, and marketing campaigns. The platform leverages AI technology to provide real-time insights, streamline workflows, and improve productivity. Trusted by some of the world's most valuable brands, Sprinklr aims to deliver consistent and exceptional customer experiences across all touchpoints.

1001 - 5000 employees

Founded 2010

☁️ SaaS

🤖 Artificial Intelligence

🏢 Enterprise

📋 Description

• Define and execute a forward-looking ML research agenda aligned with company strategy and business objectives and technological innovation • Drive key research in relevant areas of Sprinklr: Self-learning AI Agents, Auto Evaluation of AI Agents, Taxonomy discovery and quality, End-to-end voice models, Multi-linguality, Multi-modality, Domain-Specific finetuning and alignment • Guide research initiatives in areas such as deep learning, generative models, NLP, and reinforcement learning • Collaborate with engineering and product teams to transition research into real-world applications • Mentor and manage a high-performing team of ML researchers and engineers

🎯 Requirements

• Deep expertise in modern ML techniques, especially large-scale learning, generative models, or foundational models • Experienced with synthetic dataset generation for production and quantization • PhD in Computer Science, Machine Learning, or related field • 12+ years of experience in ML/AI, including 4+ years in a leadership role • Proven track record of impactful research contributions, including publications, patents, or open-source work • Strong knowledge of cloud platform technologies and MLops tools such as CUDA, K8s, Docker, PyTorch, TensorRT

🏖️ Benefits

• Comprehensive health plans • Leading well-being programs • Financial protection for employees and families through global and localized plans