Staff Applied Scientist

About the role

We are seeking a talented and innovative Staff Applied Scientist to lead our Machine Learning and Artificial Intelligence R&D and strategy. This role aims to personalize the Qualtrics experience using ML and AI features, showcasing Qualtrics data as a core value proposition and competitive advantage.

Responsibilities

• Leverage deep knowledge of AI principles, including machine learning, natural language processing, computer vision, and reinforcement learning.
• Develop and optimize algorithms for building scalable and efficient GenAI applications.
• Tackle challenging problems in creative ways, leveraging generative models to address real-world use cases and drive innovation.
• Show strong programming skills in languages like Python, along with proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar.

Requirements

• Bachelor's and Ph.D. in Computer Science or related fields.
• 7+ years of 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.
• 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.
• Experience in machine learning systems (e.g. SageMaker, MLFlow), and deep learning frameworks (e.g. TensorFlow, PyTorch, MXNet etc).
• Preference for a publication record in top-tier ML and NLP conferences (e.g. NeurIPS, ICML, SIGIR, ICLR, ACL, EMNLP, etc.).
• Proven track record in evaluating complex, multi-turn agentic systems.
• Deep experience with observability tools, evaluating tool-use reliability, and implementing systematic benchmarking in CI/CD pipelines.

Qualifications

• Commitment to developing GenAI 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 GenAI applications based on feedback, emerging trends, and changing business requirements.

Skills

• Strong programming skills in languages like Python.
• Deep understanding of machine learning model life cycle management.
• Expertise in deep learning frameworks such as TensorFlow, PyTorch, and MxNet.
• Experience in building and deploying machine learning models in production environments.
• Ability to communicate technical concepts effectively to non-technical stakeholders.

Benefits

• Wellness Reimbursement for $300 per quarter for wellness activities including gym memberships, spa massages, workout equipment, meditation apps, and much more.
• 1800 Experience bonus to be used for an "Experience" of your choosing.
• Athletic and wellness programs, including access to fitness centers, wellness coaches, and mental health resources.
• Flexible work arrangements, including remote work options and a hybrid work model.
• Comprehensive benefits package, including medical, dental, vision, life, and disability insurance, a 401(k) with match, paid time off, a wellness reimbursement, mental health benefits, and an experience bonus.

Pay

The pay range for this role is $244,000—$320,000 USD annually, with a sign-on bonus and restricted stock units included in an employment offer. Full-time employees are eligible for medical, dental, vision, life, and disability insurance, a 401(k) with match, paid time off, a wellness reimbursement, mental health benefits, and an experience bonus.