We are looking for talented and innovative applied scientists 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 cutting-edge predictive models to solve hard customer problems. Crafting models 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!
In addition, you will:
Work as part of a multidisciplinary team to research, implement, evaluate, optimize, productize and maintain cutting-edge 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, modelling 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
Bachelors in Computer Science or related fields
Solid understanding of machine learning fundamentals and tool ecosystem
5+ years of combined academic and industrial research experience in machine learning, NLP, information retrieval, deep learning or a related field.
Deep learning implementation expertise (MxNet, TensorFlow, PyTorch etc)
Excellent communication, writing and presentation skills
Excellent command of at least one modern programming language (preferably Python)
Excellent problem solving ability
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
Experience with managing, processing and analysing large, complex, multi-modal and unstructured datasets
Comfortable working in a fast paced, highly collaborative, dynamic work environment.
Experience in mentoring engineers and scientists on complex technical issues
Experience in machine learning systems (e.g. SageMaker, MLFlow), and deep learning frameworks (e.g. TensorFlow, PyTorch, MXNet etc)
Strong publication record in top-tier ML and NLP conferences (e.g. NeurIPS, ICML, SIGIR, ICLR, ACL, EMNLP, etc.)
What differentiates us from other companies
Work life integration is deeply important to us - we have frequent office events, team outings, and happy hours
Qualtrics Experience Program - $1,500 for an experience of your choosing (eligible after a year)
We take pride in our offices design aiming at fostering creativity from our rooftop views to an open and collaborative work space.
30 paid days off - 15 PTO + 5 Personal Days + 10 Holiday Closures (additional after a year)
On top of standard benefits package (medical employees and their families, dental, vision, life insurance, etc) we provide snacks, drinks, and free lunches in our office
We believe in sharing Qualtrics success which is part of the compensation for all employees