We are pleased that you are exploring Hyatt Hotels Corporation. We believe our customers select Hyatt because of our caring and attentive associates who work hard to provide efficient service and meaningful experiences. We care about our associates and our customers. This is the Hyatt Touch. Our commitment to Diversity is best evidenced by our focus on company-wide diversity initiatives. We continue to be recognized as one of America's best companies for minorities in rankings based on information about recruiting and employment practices. Associates of Hyatt are given the tools from the first day to make a difference. Hyatt offers comprehensive and competitive benefits for all associates. Hyatt associates work in an environment that demands exceptional performance, yet reaps great rewards - whether it's career opportunities, job enrichment or a supportive working environment. If you are ready for this challenge, then we are ready for you. Come meet the people with the Hyatt touch.
The Opportunity
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 Machine Learning Engineer 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 algorithmic product architectures to bring our machine learning models to life across the full lifecycle of the product including data ingestion, ML processing, and results delivery/activation. This role will work cross-functionally with various data science teams, data engineering teams, and data architecture teams. The ideal candidate can serve as both solutions architect as well as hands-on implementation engineer and guide the team towards best-in-class algorithmic product implementations. 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 data science.
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.
Who We Are
Hyatt is proud to have a culture where coworkers become friends and family. Since 1957, our focus on care for our employees and our guests has served as the heart of our business and made Hyatt one of the best hospitality brands in the world, with more than 950 hotel, all-inclusive, and wellness resort properties in 67 countries across six continents.
As we continue to grow - even during the most challenging and uncertain times - we never lose sight of what's most important: People.
Why now?
We are in a time of extraordinary transformation. Passion for personal travel combined with the explosive growth of global business underpinned our growth for years. With Covid-19, much travel has ceased - but the passion for travel remains. Now that vaccines have been introduced, one of the things people look forward to most is traveling. Hyatt is at the epicenter of the return to travel - and we are looking for passionate changemakers to be a part of our journey. When you join Hyatt, you will join a world of possibility.
How We Care for Our People
Wellbeing is the ultimate realization of our purpose - we care for people so they can be their best. We believe this focus on employees is the key to our success and we've earned a place on Fortune's prestigious "100 Best Companies to Work For®" for the last seven years, ranking No. 28 in 2020.
We're proud to offer exceptional benefits which may include:• Complimentary and discounted stays at Hyatt hotels around the world• A global family assistance policy with paid time off following the birth or adoption of a child as well as financial assistance for adoption• Work-life benefits including wellbeing initiatives such as a complimentary Headspace subscription, on-site rest and relaxation, meditation lounges and flexible schedules
Our Commitment to Diversity, Equity, and Inclusion
Hyatt has made significant strides toward building a diverse, equitable and inclusive culture. With more than 127,000 colleagues across 67 countries, we embrace all cultures, races, ethnicities, genders, sexual orientations, ages, abilities, perspectives, and ways of thinking. Our culture is one that empowers every individual to be his or her best, and such authentic connection inspires the way we care for each other and for our guests.
Who You Are
We care about your qualifications, but we care more about your qualities when you join the Hyatt family. As our ideal candidate, you understand the power and purpose of our Culture of Care and share our core values of Respect, Integrity, Humility, Empathy, Creativity and Fun. Our colleagues embody our purpose of caring for people, including each other, our guests, and ultimately our owners. This commitment to genuine service and care is what differentiates us and drives guest preference.
The Role• Partner with data scientists to design workflows/architectures that activate ML models and maximize their impact, such as real-time streaming use-cases and offline batch optimizations.• Partner with data scientists to develop prototype solutions of algorithmic products leveraging appropriate AWS services with appropriate consideration for scale and latency where applicable.• Implement and productionize final solutions via infrastructure-as-code pattern.• Implement data processing workflows to enhance our Feature Store with impactful data including appropriate data cleansing/imputation logic.• Enhance existing algorithmic products architecture/workflow as needed to maximize impact of the algorithmic product.• Partner with data engineering team to ensure data science data needs are being delivered in the appropriate format/cadence required for maximum impact.• Stay up to date with latest design patterns and AWS services with respect to Machine Learning Engineering.• Partner with data architecture, data governance, and security team to ensure solutions meet required standards.
The ideal candidate demonstrates a commitment to Hyatt core values: respect, integrity, humility, empathy, creativity, and fun.
Qualifications• Master's degree in computer science, software engineering, or related fields required• 5+ years of implementing software product solutions in a cloud environment with a focus on algorithmic/machine learning products, hospitality experience not required• Expertise in AWS cloud services• Expertise in Python, SQL, PySpark, Docker• Experience with streaming and batch data architectures at scale• Experience operating in an Agile Methodology environment• Experience with DevOps and CI/CD concepts• Excellent communication and teamwork skills• Position will not require customer-facing interactions• The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary