Base Salary
$208k - $299k/yr
Responsibilities
- Design and develop scalable AI architectures, frameworks, and algorithms for enterprise SaaS AI solutions.
- Evaluate AI technologies, tools, and frameworks for performance, accuracy, and scalability.
- Collaborate with research scientists, product managers, engineers, and ML platform teams across the company.
- Develop and deploy production ML systems and strategies for optimizing models and systems for performance, scalability, efficiency, and cost.
- Provide technical supervision and direction for ML platform teams building services to deploy, monitor, and troubleshoot AI models.
- Lead and document AI architectures, design decisions, and technical specifications.
- Conduct code reviews, provide technical guidance, and mentor team members.
- Track AI technology advancements and identify opportunities for organizational application.
Requirements
- Bachelor’s or master’s degree in Computer Science, Artificial Intelligence, or a related field.
- 7+ years of experience working as a Machine Learning Engineer or in a related role.
- Proficiency in Python, Java, or C++ and AI libraries and frameworks such as TensorFlow, PyTorch, and Keras.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud and deploying AI models on them.
- Strong problem-solving, analytical, communication, and cross-functional collaboration skills.
- Ability to stay current with AI technologies, frameworks, and platform advancements.
- Knowledge of deploying and optimizing LLMs with DeepSpeed, Accelerate, FasterTransformer, and Transformers-NeuronX is preferred.
- Knowledge of ethical considerations and responsible AI practices is preferred.
Benefits
- $300 quarterly wellness reimbursement for eligible wellness activities.
- $1,800 yearly Experience bonus.
- Medical, dental, vision, life and disability insurance, 401(k) with match, paid time off, mental health benefits, wellness reimbursement, and experience bonus for full-time employees.
- Hybrid work model requiring office attendance three days per week: Mondays, Thursdays, and one additional day selected by the organizational leader.
- Qualtrics employee communities and inclusion, support, and advocacy groups.
About Qualtrics
Qualtrics is the leader in Experience Management. It helps organizations make sense of every signal across the experiences that matter most so they can act on what they learn before the moment passes. Most companies track experience with disconnected tools. The organizations that win compete on it. The Qualtrics XM platform brings together listening, understanding, and action in one system: capturing signals across surveys, calls, digital touch points, and service interactions, and using AI-powered analytics to surface themes, sentiment, and risk in context while equipping teams, and AI-driven Experience Agents, to close the loop. From retail and travel and hospitality to healthcare, financial services, and the public sector, global enterprises trust Qualtrics to turn insight into measurable outcomes: stronger loyalty, reduced churn, faster research, and more confident decisions. Learn more at qualtrics.com.