Staff Machine Learning Engineer
Required skills
- Machine Learning Engineer
- AI R&D strategy
- personalize
- large volumes of data
- complex algorithms
- high-performance systems
- scalability
- enterprise SaaS AI solutions
- research scientists
- product managers
Nice to have
- LLMs
- DeepSpeed
- Accelerate
- FasterTransformer
- Transformers-NeuronX
- ethical considerations
Role summary
Qualtrics is seeking an experienced Staff Machine Learning Engineer to advance their AI and Machine Learning R&D strategy. This role focuses on personalizing the Qualtrics experience using ML and AI, leveraging Qualtrics data as a competitive advantage. The engineer will enhance high-performance systems for large data volumes and complex algorithms, driving innovation and supporting the company's mission. Responsibilities include designing AI architectures, selecting technologies, collaborating across teams, leading documentation, deploying ML systems, optimizing models, and providing technical direction for ML platforms. The role offers opportunities for growth, mentorship, and exposure to various business areas. The position is based in Seattle and follows a hybrid work model.
At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers. When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that’s work worth doing.
Staff Machine Learning Engineer, Foundation - Seattle
Why We Have This Role
We are looking for an experienced Machine Learning 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. We aim to enhance our capabilities in developing and maintaining high-performance systems that can effectively handle large volumes of data and complex algorithms. This role will be pivotal in driving innovation and ensuring our machine learning initiatives support our mission of closing experience gaps across various domains.
How You’ll Find Success
How You'll Grow
Things You’ll Do
What We’re Looking For On Your Resume
What You Should Know About This Team
Our Team’s Favorite Perks and Benefits
For full-time positions, this pay range is for base per year; however, 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. Full-time employees are eligible for medical, dental, vision, life and disability, 401(k) with match, paid time off, a wellness reimbursement, and mental health benefits. For a detailed look at our benefits, visit Qualtrics US Benefits.
Washington State Base Annual Pay Transparency Range$213,000—$259,000 USDSample Qualtrics interview questions
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Implement String Compression Implement string compression. Input: chars = ["a","b","b","b","b","b","b","b","b","b","b","b","b"] Output: ["a","b","1","2"] Explanation: The letter 'a' appears once (so no number is appended), and 'b' appears 12 times, modifying the array in place to length 4.
codingmedium - 2
Pacific and Atlantic Water Flow Calculate water flow from a matrix to the Pacific and Atlantic oceans. Input: heights = [[2,1],[1,2]] Output: [[0,0],[0,1],[1,0],[1,1]] Explanation: All cells can flow to both oceans because water can move to adjacent cells of equal or lower height or directly off the edges.
codingmedium - 3
Valid Word Abbreviation Determine if a string matches a valid word abbreviation. Input: word = "apple", abbr = "a2e" Output: FALSE Explanation: The abbreviation claims exactly 2 characters are skipped between 'a' and 'e', but "ppl" is actually 3 characters long.
codingmedium - 4
Connected Components in an Undirected Graph Determine the number of connected components in an undirected graph. Input: n = 4, edges = [[0,1],[2,3]] Output: 2 Explanation: The graph is split completely evenly into two distinct isolated components: nodes {0,1} and nodes {2,3}.
codingmedium - 5
Palindrome After Deleting One Character Determine if a string can be a palindrome after deleting at most one character. Input: s = "abc" Output: FALSE Explanation: Deleting any single character leaves either "ab", "bc", or "ac", none of which result in a valid palindrome.
codingmedium
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