Qualtrics is looking to personalize the customer experience using Machine Learning and Artificial Intelligence features, leveraging Qualtrics data as a core value proposition and competitive advantage. The company aims to enhance its capabilities in developing and maintaining high-performance systems that can effectively handle large volumes of data and complex algorithms, driving innovation and ensuring machine learning initiatives support the mission of closing experience gaps across various domains.
Requirements
- Proficiency in programming languages such as Python, Java, or C++, and popular AI libraries and frameworks (e.g. TensorFlow, PyTorch, Keras).
- Solid understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms.
- Excellent problem-solving and analytical skills, with the ability to break down complex problems into actionable components.
- Ability to stay updated with the latest AI technologies, frameworks, and platform advancements.
- Knowledge of deploying and optimizing LLMS with open-source frameworks like DeepSpeed, Accelerate, FasterTransformer, and Transformers-NeuronX libraries is a plus.
- Knowledge of ethical considerations and responsible AI practices is a plus.
Responsibilities
- Design and develop robust AI architectures, frameworks, and algorithms that can support large-scale and complex enterprise SaaS AI solutions in alignment with business objectives.
- Evaluate and select appropriate AI technologies, tools, and frameworks to achieve desired performance, accuracy, and scalability.
- Collaborate across the company to guide the direction of machine learning at Qualtrics, spanning teams from research to production.
- Communicate with a team of research scientists, product managers, and engineers and lead and document AI architectures, design decisions, and technical specifications for reference and knowledge sharing.
- Work closely with research scientists and model engineering teams on developing, and deploying, ML systems in production.
- Develop a strategy for optimizing models and systems for performance, scalability, efficiency, and cost.
- Offer technical supervision and direction to the ML platform teams and lead the creation of future ML platform for deploying and monitoring AI models in production settings while maintaining compliance with the best practices in machine learning and deep learning.
Other
- Proven experience (7+ years) working as a Machine Learning Engineer, or related role.
- Strong communication and collaboration skills, with the ability to work effectively within cross-functional teams.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
- 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.
- Applicants in the United States of America have rights under Federal Employment Laws: Family & Medical Leave Act, Equal Opportunity Employment, Employee Polygraph Protection Act.
