Qualtrics is looking to elevate its Machine Learning and Artificial Intelligence R&D strategy to personalize the Qualtrics experience using ML and AI features, leveraging Qualtrics data as a core value proposition and competitive advantage.
Requirements
- 5-8 years of experience as a Machine Learning Engineer, demonstrating a strong track record in designing, implementing, and optimizing machine learning models for real-world applications, leveraging frameworks such as TensorFlow or PyTorch.
- Strong Computer Science fundamentals in algorithm design, complexity analysis, and performance
- Experience in programming with at least one modern programming language such as Java, C or Python, including object-oriented design
- Experience with applied machine learning models and large-scale ML systems
- Excellent problem-solving and analytical skills, with the ability to break down complex problems into actionable components.
Responsibilities
- Develop scalable, robust, and highly available micro services to perform simple to complex statistical analyses and build/deploy machine learning models
- Implement new features and optimize existing ones to delight our customers
- Build and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data.
- Work closely with, and incorporate feedback from other specialists, tech-ops, and product managers
- Lead and engage in design reviews, architectural discussions, requirement definitions and other technical activities in diverse capacity
- Finding quick ways to prototype and test possible solutions to large problems
- Stay up-to-date with the latest advancements in AI technologies, frameworks, and algorithms, and identify opportunities for their application in the organization.
Other
- Work in a supportive environment enables individual growth and achievement of team goals
- Collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customers
- Stay on top of technology trends and educate leadership and stakeholders on trends, and North Star initiatives.
- Take on mentorship roles and collaborative projects to refine your leadership skills and guide junior team members.
- Attend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customers
