Description
At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love.
We are looking for a talented and innovative Senior Applied Scientist to bring our Machine Learning and Artificial Intelligence R&D to the next level. Our goal is to personalize the Qualtrics experience using ML/AI features showcasing Qualtrics data as a core value proposition and competitive advantage.
Responsibilities
- Leverage your deep knowledge of AI principles, including machine learning, natural language processing, and reinforcement learning.
- Use your understanding of both supervised and unsupervised learning techniques, and their applications in building intelligent systems.
- Develop and optimize algorithms for building scalable and efficient AI applications.
- Tackle challenging problems in creative ways, leveraging generative models to address real-world use cases and drive innovation.
- Use effective communication skills to articulate technical concepts to non-technical stakeholders and gather requirements for AI application development.
- Design and execute evaluation strategies for agentic systems, including rubric-based success criteria, multi-turn conversation simulation, and LLM-as-a-judge frameworks.
- Show strong programming skills in languages like Python, along with proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar.
Growth Opportunities
- Passion for leveraging cutting-edge AI technology to create innovative applications that have a meaningful impact on businesses, industries, and society.
- Commitment to developing AI applications that adhere to ethical standards and promote positive societal impact while minimizing potential risks.
- Drive to push the boundaries of what's possible with AI, and to contribute to the advancement of the field through research, experimentation, and collaboration.
- Willingness to stay updated with the latest advancements in AI research and technology, and to continuously learn and adapt to new methodologies and best practices.
- Agility to pivot and iterate on AI applications based on feedback, emerging trends, and changing business requirements.
Requirements
- Bachelors and Ph.D in Computer Science or related fields.
- 2+ years of post graduate industrial research experience in machine learning, NLP, information retrieval, deep learning or a related field.
- Deep learning implementation expertise (MxNet, TensorFlow, PyTorch etc)
- Excellent communication, writing and presentation skills.
- Excellent command of at least one modern programming language (preferably Python)
- Excellent problem solving ability.
- Deep understanding of machine learning model life cycle management.
- Depth in one or more of the following: Natural Language processing, information retrieval, speech processing, deep learning, reinforcement learning, etc.
- Knowledge of or experience in building production quality and large scale deployment of applications related to machine learning.
- Comfortable working in a fast paced, highly collaborative, dynamic work environment.
- Experience in machine learning systems (e.g. SageMaker, MLFlow), and deep learning frameworks (e.g. TensorFlow, PyTorch, MXNet etc).
Benefits
- Wellness Reimbursement for $300 per quarter for wellness activities including gym memberships, spa massages, workout equipment, meditation apps, and much more.
- Amazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women’s Leadership Development, which exist as places for support, allyship, and advocacy.
- The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader.