Senior Machine Learning Engineer

About the role

Qualtrics is seeking a Senior Machine Learning Engineer to advance our AI and machine learning R&D strategy. You will build scalable systems to personalize user experiences and integrate data-driven features across our platform.

Key facts

What you'll do

• Develop and maintain scalable microservices for statistical analysis and machine learning model deployment.
• Create and manage data pipelines to cleanse, index, and anonymize multi-modal data.
• Participate in architectural reviews, design discussions, and requirement definitions.
• Prototype and test solutions for complex algorithmic challenges.
• Mentor junior engineers and collaborate with product managers and tech-ops teams.
• Stay current with academic research and industry trends to evaluate new frameworks.
• Work in a hybrid model with three days in the office per week (Mondays, Thursdays, and one team-selected day).

Requirements

• Bachelor's degree in Computer Science or a related field.
• 5-8 years of experience as a Machine Learning Engineer.
• Proficiency in at least one modern programming language such as Java, C#, or Python, including object-oriented design.
• Strong foundation in algorithm design, performance, and complexity analysis.
• Proven track record of designing and optimizing machine learning models for real-world applications.
• Experience building and maintaining large-scale machine learning systems.

Skills & tools

• TensorFlow
• PyTorch

Practical notes

• Compensation includes a sign-on bonus and restricted stock units.
• Benefits include an $1800 experience bonus, unlimited sick days, medical, dental, vision, life and disability insurance, 401(k) with match, wellness reimbursement, and mental health support.
• Access to internal communities including MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women's Leadership Development.
• Qualtrics is an equal opportunity employer and provides reasonable accommodations for candidates with disabilities.