Staff Machine Learning Engineer, Foundation - Seattle

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 the creators and stewards of the Experience Management category serving over 18K clients globally.

Why We Have This Role

We are looking for an experienced Machine Learning Engineer to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level. Our goal is to personalize the Qualtrics experience using ML and AI features showcasing Qualtrics data as a core value proposition and competitive advantage. This role will be pivotal in driving innovation and ensuring our machine learning initiatives support our mission of closing experience gaps across various domains.

How You'll Find Success

• Working in a supportive environment enables individual growth and the achievement of team goals.
• Collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customers.
• It will be crucial to stay on top of technology trends and educate leadership and stakeholders on trends, and North Star initiatives.
• Analyze and enhance ML systems for better performance and efficiency.
• Develop creative solutions to improve our ML infrastructure and scalability.

How You'll Grow

• Expand your expertise in machine learning and software engineering by working on cutting-edge technologies and large-scale systems.
• Take on mentorship roles and collaborative projects to refine your leadership skills and guide junior team members.
• Gain insights into different areas of the business by collaborating with various teams, enriching your understanding of how technology impacts overall company strategy.

Things You'll Do

• 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.
• Conduct regular code reviews and provide technical guidance to team members.
• Stay up-to-date with the latest advancements in AI technologies, frameworks, and algorithms, and identify opportunities for their application in the organization.

What We're Looking For On Your Resume

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
• Proven experience (7+ years) working as a Machine Learning Engineer, or related role.
• 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.
• Strong communication and collaboration skills, with the ability to work effectively within cross-functional teams.
• 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.

What You Should Know About This Team

• The Data Intelligence Center of Excellence (DICE) organization provides AI/ML research and development services for all product lines.
• This role will specifically be on the Data Intelligence Platform (DIP) team which works on building services and tools that enable ML and intelligence across multiple products.
• The DIP team's goal is to accelerate Qualtrics's ML adoption by enabling every engineering team to experiment, design, build, monitor, and troubleshoot ML-powered applications with a Platform that applies reusable components, patterns, and standards/best practices.

Our Team's Favorite Perks and Benefits

• Wellness Reimbursement for $300 per quarter for wellness activities.
• $1800 yearly Experience bonus.
• Amazing QGroup Communities 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. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life. #hybrid

Qualtrics is an equal opportunity employer.

Compensation

Washington State Base Annual Pay Transparency Range: $208,000 - $298,500 USD. Base pay offered within this range may vary depending on location, job-related knowledge, education, skills, and experience. A sign-on bonus and restricted stock units may be included in an employment offer. Full-time employees are eligible for comprehensive benefits.