Senior Principal AI Scientist
Senior Principal AI Scientist
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
At Qualtrics we create software the worlds best brands use to deliver exceptional frontline experiences build highperforming teams and design products people love. But we are more than a platformwe are the creators and stewards of the Experience Management (XM) category serving over 18K clients globally. Building a category takes grit determination and a disdain for conventionbut most of all it requires closeknit highfunctioning teams with an unwavering dedication to serving our customers.
When you join one of our teams youll be part of a nimble group thats empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together by passing the mic and iterating until the best solution comes to light. You wont have to look to find growth opportunitiesready or not theyll find you. From retail to government to healthcare were on a mission to bring humanity connection and empathy back to business. Join over 5000 people across the globe who think thats work worth doing.
Senior Principal AI Scientist
Why We Have This Role
Qualtrics is on a mission to enhance its leadership in Experience Management (XM) by driving Machine Learning and Artificial Intelligence initiatives. This role supports our commitment to innovation in an evolving landscape of Generative and Agentic AI enabling us to redefine the boundaries of XM.
How Youll Find Success
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 decisionmaking.
How Youll Grow
- Expand Technical Skills: Continuously deepen your expertise in cuttingedge AI and machine learning technologies through ongoing training workshops and handson experience with new tools and methodologies.
Engage in CrossFunctional Projects: Take advantage of opportunities to work on diverse multidisciplinary projects that expose you to different aspects of the business broadening your understanding of how AI can drive value across various domains.
Participate in Thought Leadership: Contribute to industry discussions by publishing research presenting at conferences or participating in forums enhancing your professional reputation and establishing yourself as a leader in the AI community.
Seek Feedback and Reflect Actively seek constructive feedback from peers and leaders to identify strengths and areas for improvement fostering a habit of selfreflection that promotes continuous personal and professional development.
Things Youll Do
Lead Technical Vision: Spearhead AI initiatives by building largescale training datasets and designing generative models and agentic platforms.
Collaborate with Multidisciplinary Teams: Engage with researchers engineers and product managers to implement evaluate optimize and maintain cuttingedge machine learning models.
Strategic Liaison: Act as a technical liaison between the AI team and executive leadership participating in strategic discussions and technical reviews.
Research Contributions: Stay updated on the latest machine learning developments and present findings to the broader community
Daily Agile Operations:Attend standup meetings prioritize features collaborate with peers and deliver immediate value to our customers.
What We Are Looking For on Your Resume
- 10 years of industry and research experience in machine learning.
- Proven ability to build and deploy largescale productionquality machine learning applications.
- Indepth understanding of the machine learning model lifecycle management.
- Technical Proficiency: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).
- Communication Skills:Experience engaging with stakeholders from executives to engineers.
- Mentorship:Background in mentoring and guiding engineers and scientists on complex technical issues.
- Publication Record:A strong history of presentations or publications at major ML conferences (e.g. NeurIPS ICML SIGIR ICLR).
What You Should Know About This Team
The team is composed of highly skilled professionals dedicated to pushing the boundaries of AI and machine learning applications. Our collaborative and fastpaced environment encourages innovation with a strong focus on quality and delivering impactful solutions.
Our Teams Favorite Perks and Benefits
- We take pride in our offices design aiming at cultivating creativity from our rooftop views to open and collaborative work spaces
- On top of the standard benefits package (medical dental vision life insurance etc) we provide snacks drinks and free lunches in our office
- We believe in sharing Qualtrics success which is part of the compensation for all employees
For fulltime positions this pay range is for base per year; however base pay offered may vary depending on location jobrelated knowledge education skills and experience.A signon bonus and restricted stock units may be included in an employment offer in addition to a range of medical financial and other benefits based on eligibility criteria.
Required Experience:
Staff IC
Employment Type
Full Time
