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
Applicant Tracking System Keywords
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