Machine Learning Manager
4 weeks ago
We are seeking a seasoned Machine Learning Manager to elevate our AI/ML R&D strategy and drive innovation in personalizing the Qualtrics experience.
As a key member of the Data Intelligence Center of Excellence (DICE), you will lead the development of core machine learning infrastructure and services, leveraging cutting-edge technologies to deliver business value.
Key Responsibilities- Develop and implement scalable, robust, and highly available machine learning models to solve complex business problems.
- Collaborate with cross-functional teams to design and deploy AI-powered solutions, ensuring seamless integration with existing systems.
- Lead a multi-disciplinary team to implement, tune, and productize cutting-edge machine learning models, driving business growth and customer satisfaction.
- Design and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data.
- Bachelor's degree in Computer Science or related field.
- 5+ years of experience as a Machine Learning Engineer, with a strong track record in designing, implementing, and optimizing machine learning models for real-world applications.
- 1-2 years of management experience, with a proven ability to lead and motivate high-performing teams.
- Strong Computer Science fundamentals in algorithm design, complexity analysis, and performance.
- Experience with applied machine learning models and large-scale ML systems.
- A competitive salary range of $162,500 - $296,500 USD, depending on location, job-related knowledge, education, skills, and experience.
- A sign-on bonus and restricted stock units, in addition to a range of medical, financial, and other benefits, based on eligibility criteria.
- A dynamic and supportive work environment, with opportunities for growth and professional development.
Qualtrics is a leading provider of experience management software, serving over 18,000 clients globally. We are committed to delivering exceptional frontline experiences, building high-performing teams, and designing products people love.
Our hybrid work model allows for flexibility and work-life balance, with three days of in-person collaboration and two days of remote work. We are an equal opportunity employer, committed to diversity, equity, and inclusion.
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