Machine Learning Engineer II

Seattlefull timeOn Site

senior

H1B: yes

Qualtrics Machine Learning Engineer II at Qualtrics to develop scalable microservices and machine learning models that personalize the Qualtrics experience. Collaborate in an agile environment to deliver value and solve complex algorithmic challenges.

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
Collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customers
Balance technical excellence with pragmatic decision-making to solve complex algorithmic challenges efficiently

Qualification

What You Should Know About This TeamOur Team’s Favorite Perks and BenefitsUnlimited Sick Days

Required

Bachelor’s degree in Computer Science or related fields.
2-5 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
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.
Through close collaboration with product and engineering teams, we seamlessly integrate advanced intelligence into everyday user experiences.
Our Team’s Favorite Perks and Benefits
$1800 Experience bonus to be used for an “Experience” of your choosing
Unlimited Sick Days