Senior Machine Learning Engineer

Senior Machine Learning Engineer

About Qualtrics

Qualtrics creates software the world's best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. The company serves over 18,000 clients globally and is the creator and steward of the Experience Management category.

Why We Have This Role

We are looking for an 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. You should love building simple solutions to solve hard customer problems. Crafting systems in an agile environment to withstand hyper growth and owning quality from end to end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work.

How You'll Find Success

• Work in a supportive environment enables individual growth and achievement of team goals
• Collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customers
• 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
• Balance technical excellence with pragmatic decision-making to solve complex algorithmic challenges efficiently

How You'll Grow

• 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
• Build and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data
• Take on mentorship roles and collaborative projects to refine your leadership skills and guide junior team members

Responsibilities

• Work closely with, and incorporate feedback from other specialists, tech-ops, and product managers
• Lead and engage in design reviews, architectural discussions, requirement definitions and other technical activities in diverse capacity
• Attend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customers
• Find quick ways to prototype and test possible solutions to large problems
• Stay up-to-date with industry trends and academic research to evaluate new tools, frameworks, and modeling techniques

Requirements

• Education: Bachelor's degree in Computer Science or related fields
• Experience: 5-8 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
• Computer Science fundamentals: Algorithm design, complexity analysis, and performance
• Programming: Experience with at least one modern programming language such as Java, C# or Python, including object-oriented design
• Machine Learning: Experience with applied machine learning models and large-scale ML systems
• Problem-solving: Excellent problem-solving and analytical skills, with the ability to break down complex problems into actionable components
• Communication: Strong communication and collaboration skills, with the ability to work effectively within cross-functional teams

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.

The 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.

Through close collaboration with product and engineering teams, we seamlessly integrate advanced intelligence into everyday user experiences.

Benefits and Perks

• Experience bonus: $1,800 Experience bonus to be used for an "Experience" of your choosing
• Sick days: Unlimited Sick Days
• Communities: Amazing QGroup Communities including MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women's Leadership Development, which exist as places for support, allyship, and advocacy
• Hybrid work model: We all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. For the rest of the week, work where you want, owning the integration of work and life
• Health and wellness: Medical, dental, vision, life and disability, 401(k) with match, paid time off, a wellness reimbursement, and mental health benefits

Compensation

Washington State Base Annual Pay Transparency Range: $203,500—$267,000 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.

Equal Opportunity

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.

Applicants in the United States of America have rights under Federal Employment Laws: Family & Medical Leave Act, Equal Opportunity Employment, Employee Polygraph Protection Act.

Qualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.