L6 Staff Machine Learning Engineer, Foundation Seattle
L6 Staff Machine Learning Engineer, Foundation Seattle
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Job Description
At Qualtrics we create software the worlds best brands use to deliver exceptional frontline experiences build high-performing teams and design products people love. But we are more than a platformwe 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 conventionbut 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 youll be part of a nimble group thats 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 wont have to look to find growth opportunitiesready or not theyll find you. From retail to government to healthcare were on a mission to bring humanity connection and empathy back to business. Join over 5000 people across the globe who think thats 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 Youll Find Success
- Working in a supportive environment enables individual growth and the achievement of team goals.
- Collaborate with your peers prioritize features and work with a sense of urgency to deliver value to our customers.
- It will be crucial to stay on top of technology trends and educate leadership and stakeholders on trends and North Star initiatives.
- Analyze and enhance ML systems for better performance and efficiency.
- Develop creative solutions to improve our ML infrastructure and scalability
How Youll Grow
- Expand your expertise in machine learning and software engineering by working on cutting-edge technologies and large-scale systems.
- Take on mentorship roles and collaborative projects to refine your leadership skills and guide junior team members.
- Gain insights into different areas of the business by collaborating with various teams enriching your understanding of how technology impacts overall company strategy.
Things Youll Do
- Design and develop robust AI architectures frameworks and algorithms that can support large-scale and complex enterprise SaaS AI solutions in alignment with business objectives.
- Evaluate and select appropriate AI technologies tools and frameworks to achieve desired performance accuracy and scalability.
- Collaborate across the company to guide the direction of machine learning at Qualtrics spanning teams from research to production.
- Communicate with a team of research scientists product managers and engineers and lead and document AI architectures design decisions and technical specifications for reference and knowledge sharing.
- Work closely with research scientists and model engineering teams on developing and deploying ML systems in production. Develop a strategy for optimizing models and systems for performance scalability efficiency and cost.
- Offer technical supervision and direction to the ML platform teams and lead the creation of future ML platform for deploying and monitoring AI models in production settings while maintaining compliance with the best practices in machine learning and deep learning.
- Conduct regular code reviews and provide technical guidance to team members.
- Stay up-to-date with the latest advancements in AI technologies frameworks and algorithms and identify opportunities for their application in the organization.
What Were Looking For On Your Resume
- Bachelors or Masters degree in Computer Science Artificial Intelligence or a related field.
- Proven experience (7 years) working as a Machine Learning Engineer or related role.
- Proficiency in programming languages such as Python Java or C and popular AI libraries and frameworks (e.g. TensorFlow PyTorch Keras).
- Solid understanding of cloud computing platforms (e.g. AWS Azure Google Cloud) and experience deploying AI models on these platforms.
- Excellent problem-solving and analytical skills with the ability to break down complex problems into actionable components.
- Strong communication and collaboration skills with the ability to work effectively within cross-functional teams.
- Ability to stay updated with the latest AI technologies frameworks and platform advancements.
- Knowledge of deploying and optimizing LLMS with open-source frameworks like DeepSpeed Accelerate FasterTransformer and Transformers-NeuronX libraries is a plus.
- Knowledge of ethical considerations and responsible AI practices is a plus.
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 role will specifically be on the Data Intelligence Platform (DIP) team which works on building services and tools that enable ML and intelligence across multiple products.
- The DIP teams goal is to accelerate Qualtricss 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.
Our Teams Favorite Perks and Benefits
- Wellness Reimbursement for $300 per quarter for wellness activities including gym memberships spa massages workout equipment meditation apps and much more.
- $1800 yearly Experience bonus to be used for an Experience of your choosing
- Amazing QGroup Communities; MOSAIQ Green Team Qualtrics Pride Q&Able Qualtrics Salute and Womens Leadership Development which exist as places for support allyship and advocacy.
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 mental health benefits and an experience bonus. For a detailed look at our benefits visitQualtrics US Benefits.
Required Experience:
Staff IC
Employment Type
Full-Time
