Staff Machine Learning Engineer, Foundation - Seattle

Qualtrics • Seattle, WA

1d • $208,000 - $298,500 • Hybrid

About The Position

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 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. We aim to enhance our capabilities in developing and maintaining high-performance systems that can effectively handle large volumes of data and complex algorithms. This role will be pivotal in driving innovation and ensuring our machine learning initiatives support our mission of closing experience gaps across various domains. 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.

Requirements

• 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.

Nice To Haves

• 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.
• 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.
• Analyze and enhance ML systems for better performance and efficiency.
• Develop creative solutions to improve our ML infrastructure and scalability.

Benefits

• Wellness Reimbursement for $300 per quarter for wellness activities, including gym memberships, spa massages, workout equipment, meditation apps, and much more.
• $1800 yearly Experience bonus to be used for an “Experience” of your choosing
• Amazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women’s Leadership Development, which exist as places for support, allyship, and advocacy.
• medical, dental, vision, life and disability, 401(k) with match, paid time off, a wellness reimbursement, mental health benefits, and an experience bonus.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior