Applied Scientist II
Applied Scientist II
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1 Vacancy
Job Description
At Qualtrics we create software the worlds best brands use to deliver exceptional frontline experiences build highperforming 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 closeknit highfunctioning 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.
Applied Scientist II
Why We Have This Role
We are looking for talented and innovative Applied Scientist to bring our Machine Learning and Artificial Intelligence R&D and 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.
As a Machine Learning Applied Scientist at Qualtrics you should love building cuttingedge predictive models to solve hard customer problems. Crafting models in an agile environment to withstand hyper growth and owning quality from endtoend is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work!
How Youll Find Success
- Leverage your deep knowledge of artificial intelligence (AI) principles including machine learning natural language processing computer vision and reinforcement learning.
- Use your understanding of both supervised and unsupervised learning techniques and their applications in building intelligent systems.
- Develop and optimize algorithms for building scalable and efficient GenAI applications.
- Tackle challenging problems in creative ways leveraging generative models to address realworld use cases and drive innovation.
- Use effective communication skills to articulate technical concepts to nontechnical stakeholders and gather requirements for GenAI application development.
- Show strong programming skills in languages like Python along with proficiency in deep learning frameworks such as TensorFlow PyTorch or similar.
How Youll Grow
- Passion for leveraging cuttingedge AI technology to create innovative GenAI applications that have a meaningful impact on businesses industries and society.
- Commitment to developing GenAI applications that adhere to ethical standards and promote positive societal impact while minimizing potential risks.
- Drive to push the boundaries of whats possible with AI and to contribute to the advancement of the field through research experimentation and collaboration.
- Willingness to stay updated with the latest advancements in AI research and technology and to continuously learn and adapt to new methodologies and best practices.
- Agility to pivot and iterate on GenAI applications based on feedback emerging trends and changing business requirements.
Things Youll Do
- Address challenges in products through Large Language Models Deep Learning and Data Science approaches and publish research papers.
- Work as part of a multidisciplinary team to research implement evaluate optimize productize and maintain cuttingedge machine learning models to meet the demands of our rapidly growing business
- Stay on top of the latest developments in machine learning and related research and present research findings with the broader community
- Work closely with and incorporate feedback from other specialists engineers and product managers
- Lead and engage in design reviews modeling discussions requirement definitions and other technical activities in diverse capacity
- Contribute to and inspire the Conversational AI NLP and Data Science technology roadmap at Qualtrics.
What Were Looking For On Your Resume
- Bachelors Degree in Computer Science or related fields Graduate Degree preferred
- Solid understanding of machine learning fundamentals and tool ecosystem
- 2 years of combined academic and industrial research experience in machine learning NLP information retrieval deep learning or a related field.
- Deep learning implementation expertise (TensorFlow PyTorch etc)
- Excellent command of at least one modern programming language (preferably Python)
- Graduate degree in computer science or related fields
- Deep understanding of machine learning model life cycle management
- Depth in one or more of the following: Natural Language processing information retrieval speech processing deep learning reinforcement learning etc.
- Knowledge of or experience in building production quality and large scale deployment of applications related to machine learning
- Comfortable working in a fast paced highly collaborative dynamic work environment.
- Experience in machine learning systems (e.g. SageMaker MLFlow) and deep learning frameworks (e.g. TensorFlow PyTorch MXNet etc)
- Preference for a publication record in toptier ML and NLP conferences (e.g. NeurIPS ICML SIGIR ICLR ACL EMNLP etc.
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.
- We partner with application teams to deliver ML algorithms and models that drive efficiency innovation and growth.
- We identify business needs and define strategies where Qualtrics can most benefit from AI technologies.
- We stay on top of the latest AI technologies and apply the state of the art to customer business problems.
- We conduct ML modeling with deep expertise and rigor including model selection training finetuning customization explainability and evaluation.
Our Teams Favorite Perks and Benefits
- $1800 Experience bonus to be used for an Experience of your choosing
- QMentorship Program matches you with a mentor inside Qualtrics to get meaningful coaching from someone outside your team.
- 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.
The Qualtrics Hybrid Work Model:Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays plus one day selected by your organizational leader. These purposeful inperson days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week work where you want owning the integration of work and life.
For fulltime positions this pay range is for base per year; however base pay offered may vary depending on location jobrelated knowledge education skills and experience.A signon bonus and restricted stock units may be included in an employment offer in addition to a range of medical financial and other benefits based on eligibility criteria.
Employment Type
Full Time
