Qualtrics is looking to enhance its leadership in Experience Management (XM) by driving Machine Learning and Artificial Intelligence initiatives, specifically focusing on Generative and Agentic AI to redefine the boundaries of XM.
Requirements
- 10+ years of industry and research experience in machine learning.
- Proven ability to build and deploy large-scale, production-quality machine learning applications.
- In-depth understanding of the machine learning model lifecycle management.
- Specialization in areas such as Natural Language Processing, Deep Learning, or Reinforcement Learning; experience with machine learning platforms (e.g., SageMaker, MLFlow) and deep learning frameworks (e.g., TensorFlow, PyTorch).
- A strong history of presentations or publications at major ML conferences (e.g., NeurIPS, ICML, SIGIR, ICLR).
Responsibilities
- Spearhead AI initiatives by building large-scale training datasets and designing generative models and agentic platforms.
- Engage with researchers, engineers, and product managers to implement, evaluate, optimize, and maintain cutting-edge machine learning models.
- Act as a technical liaison between the AI team and executive leadership, participating in strategic discussions and technical reviews.
- Stay updated on the latest machine learning developments and present findings to the broader community
- Attend stand-up meetings, prioritize features, collaborate with peers, and deliver immediate value to our customers.
Other
- Leverage Expertise:Utilize your deep knowledge of machine learning algorithms, frameworks, and best practices to drive innovative solutions that meet business challenges.
- Foster Collaboration:Cultivate strong relationships across diverse teams, encouraging open communication and collaboration to amplify the impact of your work and enhance project outcomes.
- Stay Informed: Continuously update your knowledge of the latest advancements in AI and machine learning, ensuring that your approaches are aligned with industry trends and technologies.
- Adapt to Change:Embrace the dynamic nature of the tech landscape by being flexible and agile, proactively addressing challenges and iterating on solutions in response to shifting business needs.
- Communicate Effectively: Clearly articulate complex technical concepts to stakeholders at all levels, ensuring alignment on project goals and facilitating informed decision-making.
