Description:
At Hyatt, we're working to Advance Care through data-driven decisions and automation. This mission serves as the foundation for every decision as we create the future of travel. We can't do that without the best talent - talent that is innovative, curious, and driven to create exceptional experiences for our guests, customers, owners, and colleagues.
Hyatt seeks an extraordinary Gen AI Engineering leader to help build the algorithmic assets and features that Hyatt guests, members, customers, and internal users leverage to transform the guest experience and drive efficiencies across the operations of our business.
In this role, you will design and implement Gen AI solutions and partner closely with ML Engineering, Personalization, Forecasting, and Decision Science domains. This role will work cross-functionally with various data science teams, data engineering teams, and data architecture teams. The ideal candidate can be a hands-on technical leader who is skilled as an implementation engineer while also leading the team to innovate and build cutting-edge Gen AI products and services.
You will be a part of a ground-floor, hands-on, highly visible team which is positioned for growth and is highly collaborative and passionate about machine learning and AI.
Applying the latest techniques and approaches across the domains of data science, machine learning, and AI isn't just a nice to have, it's a must. You will be part of a team passionate about diversity, equity, and inclusion, committed to nurturing curiosity and new skills and building connections with stakeholders, colleagues, and guests across the organization.
Who We Are
At Hyatt, we believe in the power of belonging and creating a culture of care, where our colleagues become family. Since 1957, our colleagues and guests have been at the heart of our business and helped Hyatt become one of the world's best and fastest-growing hospitality brands. Our transformative growth and the addition of new hotels, brands, and business lines can open the door for exciting career and growth opportunities for our colleagues.
As we continue to grow, we never lose sight of what's most important: People. We turn trips into journeys, encounters into experiences, and jobs into careers.
Why Now?
This is an exciting time to be at Hyatt. We are growing rapidly and are looking for passionate changemakers to be a part of our journey. The hospitality industry is resilient and continues to offer dynamic opportunities for upward mobility, and Hyatt is no exception.
How We Care for Our People
Our purpose sets us apart-to care for people so they can be their best. Every business decision is made through the lens of our purpose, and it informs how we have and will continue to support each other as members of the Hyatt family. Our care for our colleagues is the key to our success. We're proud to have earned a place on Fortune's prestigious 100 Best Companies to Work For® list for the last ten years. This recognition is a testament to how our Hyatt family continues to come together to care for one another, our commitment to a culture of inclusivity, empathy, and respect, and making sure everyone feels like they belong.
We're proud to offer exceptional corporate benefits which include:
-Annual allotment of free hotel stays at Hyatt hotels globally
-Flexible work schedules
-Work-life benefits including well-being initiatives such as a complimentary Headspace subscription, and a discount at the on-site fitness center
-A global family assistance policy with paid time off following the birth or adoption of a child as well as financial assistance for adoption
-Paid Time Off, Medical, Dental, Vision, 401K with company match
Our Commitment to Diversity, Equity, and Inclusion
Our success is underpinned by our diverse, equitable, and inclusive culture and we are committed to diversity across the board - from whom we hire and develop, the organizations we support, and whom we buy from and work with.
Being part of Hyatt means always having space to be you. Our global teams are a mosaic of cultures, ethnicities, genders, ages, abilities, and identities. We constantly strive to reflect the world we care for with teams that achieve and grow together. To learn more about our commitments to DE&I, please visit the Why Hyatt section of the Hyatt career page.
Who You Are
You are a seasoned and passionate technical leader with a demonstrable experience in leading and mentoring engineering teams, delivering enterprise-grade AI/ML platforms and products with a strong focus on Gen AI capabilities. You thrive in dynamic environments and value experimentation, empathy, and business alignment.
You embody Hyatt's values of Care, Inclusion, Integrity, Respect, Empathy, and Well-being, and seek opportunities to inspire and develop your team while making measurable business impact.
Qualifications:
Applied ML Research
Design, train, and evaluate machine learning models for search relevance and ranking, information retrieval, recommender systems using large-scale behavioral and content data.
Develop and experiment with NLP and representation learning techniques, including embeddings, semantic search, and query-document matching for both lexical and semantic retrieval systems.
Develop ML systems to support AI assistants for conversational experiences, including intent classification, query rewriting, response ranking, and grounding using retrieved knowledge.
Run offline evaluations and contribute to online experimentation (A/B, multi-arm and multivariate testing) to measure impact on relevance, engagement, and conversion.
Perform feature engineering across structured and unstructured data sources, including text, user interaction logs, and @contextual signals.
Collaborate with machine learning engineers to transition models from experimentation to production inference pipelines (batch and real-time).
Analyze model behavior, diagnose failure modes, and iterate on data, features, and architectures to improve performance and robustness.
Proto@type and benchmark new modeling approaches informed by recent research in information retrieval, recommendation systems, and applied generative AI.
Document modeling assumptions, evaluation results, and trade-offs to support reproducibility and cross-team collaboration.
Qualifications - External
Required
Master's or Ph.D. in Computer Science, Data Science, Statistics, Applied Mathematics, Machine Learning, or a closely related field.
Strong theoretical and practical foundation in:
o Supervised and unsupervised learning
o Probability and statistics
o Optimization and linear algebra
Proficiency in Python for data analysis, feature engineering, and model development.
Hands-on experience with at least one ML framework such as PyTorch, TensorFlow, or scikit-learn.
Experience working with SQL and large-scale datasets.
Familiarity with model evaluation, error analysis, and experiment design.
Preferred
Academic, internship, or project experience in one or more of the following:
o Search relevance and ranking models
o Information retrieval (lexical and semantic)
o Recommender systems (collaborative filtering, content-based, hybrid)
o Agentic implementations preferably user-facing
Exposure to deep learning architectures (e.g., transformers, bi-encoders and cross-encoders).
Understanding of offline and online evaluation methodologies, including A/B testing.
Experience using cloud or distributed computing environments (e.g., AWS, Spark, Ray) through coursework or projects.
Familiarity with model deployment concepts such as batch inference, real-time APIs, and model monitoring (conceptual understanding sufficient).
Strong analytical thinking and ability to translate ambiguous product problems into well-defined modeling tasks.
We welcome you:
Research shows that women, people of color, and other historically excluded groups, tend to apply to jobs, only if they meet all the listed job qualifications. Unsure if you check every box, but feeling inspired to enhance your career? Apply. We'd love to consider your unique experiences and how you could make Hyatt even better.
The salary range for this position is $110,000 to $140,000. This position is also eligible to earn incentive awards and an annual bonus. The final pay rate/salary offered to the successful candidate will depend on experience, skill level and other qualifications for the role, as well as the location of the performance of work. Pay for the successful candidate will meet local requirements, including the local minimum wage rate.
Primary Location: US-IL-Chicago
Organization: Hyatt Corporate Office
Pay Basis: Yearly
Job Level: Full-time
Job: Technology
Req ID: CHI015101
Hyatt is an equal employment opportunity and affirmative action employer. We do not discriminate on the basis of race, color, gender, gender identity, sexual orientation, marital status, pregnancy, national origin, ancestry, age, religion, disability, veteran status, genetic information, citizenship status or any other group protected by law.
