Lead Software Engineer – Machine Learning at Hilton Japan

McLean, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Sep, 26

Salary

185500.0

Posted On

19 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Robotic Process Automation, Python, Java, R, Deep Learning, AWS, Azure, Keras, PyTorch, Tensorflow, Scikit-learn, Agile, Data Modeling, Statistical Analysis, Software Architecture

Industry

Hospitality

Description

EXCEPTIONAL HOSPITALITY STARTS WITH YOU Location: 7930 Jones Branch Dr., McLean, VA 22102 (Position allows 100% full remote work from anywhere in the U.S.) What will I be doing? Apply technical skills to build artificial intelligence products and craft and code Robotic Process Automation (RPA) applications. Develop, test, debug, and document application systems to achieve the objectives detailed in the business requirements. Design machine learning systems and applications according to internal requirements. Ensure that all solution development is aligned to architectural standards throughout the Agile development process. Research and implement appropriate ML algorithms and tools. Demonstrate the ability to engage and work with architects to drive solutions to complex problems in accordance with the strategic vision established by Technology Executives. 15% Domestic travel required. Salary: $175,500.00 - $185,500.00 per year Benefits: Medical, Dental, Vision, Disability Ins., 401(k), Life Insurance, PTO & etc. Requirements: Bachelor's degree, foreign equivalent, or higher in Computer Science, Information Technology, or a related field and five (5) years of progressive experience as a machine learning engineer, software engineer, or related position. Requires progressive experience writing codes using Python, Java, or R; using distributed systems and big data platforms and end-to-end deep learning system design and deployment; implementing data structures, data modeling, and software architecture; using statistical analysis and performance optimization of ML models; working in cloud computing environments such as AWS and Azure; building technical specifications and product design from published requirements; utilizing machine learning frameworks such as Keras, PyTorch, and Tensorflow and libraries like scikit-learn; and deploying Agile problem-solving techniques and decision-making principles. TO APPLY: Apply to Hilton Domestic Operating Company Inc. at https://jobs.hilton.com [https://jobs.hilton.com] using req. #210987 or submit your resume to jobapplication@hilton.com [jobapplication@hilton.com]. Please include the job title and requisition # in the subject line of the e-mail. #LI-DNI Join an Award-Winning Workplace Culture At Hilton, we don’t just deliver exceptional experiences for our guests—we build an exceptional workplace for the Team Members who make it all possible. As a global leader in hospitality, we’ve welcomed more than 3 billion guests worldwide, all while staying true to our founding vision: to fill the earth with the light and warmth of hospitality. Our award-winning culture has earned us repeated recognition on the World’s Best Workplaces list by Great Place to Work and Fortune. With our suite of world-class brands [https://www.hilton.com/en/brands/], [https://urldefense.com/v3/__https://www.hilton.com/en/brands/__;!!ACWV5N9M2RV99hQ!O2xa4zGt-T01ceC-TUkMR1pfcFCVB7ok76P2VHgrYJIgwQs8Hw4LctiIL1cb1PVtH7hfkg0RhiUKqr1rbiE9oUenw2MC$] and a company-wide commitment to providing the best stay for every guest, we’re setting new standards for the future of travel. Whether you’re starting your career or exploring something new, Hilton supports your journey every step of the way. Come for the job, stay for the career—and help us make every stay a little more magical. Curious about life at Hilton? Explore our Careers Blog [https://jobs.hilton.com/blogs] to see why we’re more than a great place to stay—we’re a great place to work.

Responsibilities

Build artificial intelligence products and develop Robotic Process Automation (RPA) applications. Design and implement machine learning systems and algorithms aligned with architectural standards and strategic business visions.