Manager, Applied Science (Machine Learning)

Why We Have This Role

How Youll Find Success

• Identify research direction build translational research programs and communicate them to senior leadership and work closely with other stakeholders to bring research to production.
• Work with a talented team of applied scientists and machine learning engineers covering a broad spectrum of modeling needs for AI products.
• Develop multilingual text analytics and information retrieval systems building customized large language models (LLMs) and creating conversational analytical agents.
• Ability to navigate high levels of ambiguity and work collaboratively across diverse disciplines.
• Use effective communication skills to articulate technical concepts to non-technical stakeholders and gather requirements for GenAI application development.

How Youll Grow

• 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.
• Establish short-term and long-term career goals for your team and develop a roadmap to achieve them.

Things Youll Do

• Drive adoption of scientific and engineering best practices for the entire model life cycle management (MLCM) including research model design experiment design model testing coding standards/reviews model monitoring and launch processes
• Develop science and engineering roadmaps run sprints and drive quarterly/annual planning exercises
• Collaborate with Product Management Program Management UX Design engineering and other stakeholder teams to collect requirements describe features build technical designs and execution strategies
• Hire and develop scientists at various experience levels by providing technical and career development guidance
• Drive operational perfection by investigating production issues driving root cause analysis and follow-up actions for continuous improvement
• Communicate research findings to a technical audience and executive management
• Represent Qualtrics in academic and industrial conferences

What Were Looking For On Your Resume

• Ph.D. degree with 4 years of applied research experience or a Masters degree and 6 years of applied research experience
• 2 years of people management experience
• Proven ability to hire develop and manage high-performing applied science teams
• Track record of conducting independent research and model development implementation and optimization to drive eventual product outcomes
• Solid understanding of machine learning and AI engineering fundamentals and tool ecosystem with deep and demonstrable expertise in at least one topic or application of machine learning.
• Solid understanding of elements of machine learning life cycle management.
• Familiarity with relevant technology stacks such as deep learning frameworks (TensorFlow PyTorch etc) and ML platforms such as SageMaker VertexAI etc
• Comfortable with dealing with multiple priorities and ambiguity in a fast-paced dynamic environment
• Excellent command of at least one modern programming language (preferably Python)
• Excellent oral and written communication skills with the ability to communicate complex technical concepts and solutions to both technical and non-technical teams at all levels of the organization
• Technical depth in machine learning systems (e.g. SageMaker MLFlow) and deep learning frameworks (e.g. TensorFlow PyTorch MXNet etc)
• Research experience in one or more of the following areas: large language models (LLMs) natural language understanding/processing speech processing dialog understanding text summarization question answering time series analysis event sequence analysis or information retrieval.
• Strong publication record in top-tier ML and NLP conferences (e.g. ACL NAACL EMNLP NeurIPS ICML AAAI ICLR SIGIR etc.)
• Experience with Big Data technologies such as AWS Hadoop Spark Hive Lucene/SOLR or Kafka

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 fine-tuning customization explainability and evaluation.

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 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.