Staff Machine Learning Engineer/Architect

Qualtrics XM
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Job Description

We seek a Machine Learning Architect 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.

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.

How You’ll Grow

  • Provide mentorship to junior engineers, fostering an environment of continuous learning and growth
  • Work in a multi-disciplinary team to implement, tune, and productize cutting-edge machine learning models to meet the demands of our rapidly growing business
  • Align machine learning initiatives with business objectives, and demonstrate the potential impact through detailed analyses and presentations.
  • Continuously evaluate and improve machine learning solutions based on changing business needs or technological advancements

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 (6+ years) working as an AI architect, Machine Learning Engineer, or related role.
  • Strong knowledge of machine learning, deep learning, and NLP.
  • Proficiency in programming languages such as Python, Java, or C++, and popular AI libraries and frameworks (e.g. TensorFlow, PyTorch, Keras).
  • Experience designing and implementing large-scale AI solutions, including data ingestion, storage, processing, and deployment.
  • 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 team builds core machine learning infrastructure and services.

Our Team’s Favorite Perks and 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.

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.

Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.

Company Info.

Qualtrics XM

Qualtrics Experience Management (XM) is the only software platform that helps brands continually assess the quality of their four core experiences—customers, employees, products, and brands. With Qualtrics XM, organizations can be at every meaningful touchpoint, for every experience, and predict which changes will resonate most with stakeholders.

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Qualtrics XM is currently hiring Staff Machine Learning Engineer Jobs in United States with average base salary of $122,000 - $256,000 / Year.

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