# Senior Applied Scientist **Company**: Qualtrics **Location**: Reston, Virginia **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Salary**: $192,500-$252,500 USD **Category**: Engineering **Industry**: Technology **Apply**: https://job-boards.greenhouse.io/qualtrics/jobs/8046618?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_9c18b80b-12d ## 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. ## Skills ### Required - Python - TensorFlow - PyTorch - Machine Learning - Natural Language Processing - Deep Learning - Reinforcement Learning ### Nice to have - Publication record in top-tier ML and NLP conferences - Experience in machine learning systems - Deep learning frameworks --- Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/qualtrics/jobs/8046618?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)