Senior Machine Learning Engineer, Worldwide Real Estate Technology

We are looking for a highly skilled and motivated software engineer to join our team in the commercial real estate industry. In this role, you will work on a global scale to solve real-world problems that will revolutionize Amazon's approach to Industrial Real Estate in unimaginable ways. You will be using tools like workflow automation, geospatial intelligence and mapping, and artificial intelligence. You will collaborate closely with a team of experts to develop and implement advanced technology solutions that will change how our stakeholders conduct business. This is an excellent opportunity for a senior software engineer to significantly influence the commercial real estate industry. You will work on advanced technology solutions that will revolutionize our clients' business methods, and guide and mentor a team of software developers. We offer competitive pay, extensive benefits, and a dynamic work environment where you will be challenged and rewarded for your contributions. We innovate every day. We are World Wide Real Estate Technologies, and we will provide you with the tools and support you need to invent with us in ways that are rewarding, fulfilling, and enjoyable. If you are a senior developer with a passion for innovation, we encourage you to apply today. A day in the life: - Lead, mentor, challenge and grow other software engineers on the team - Develop and implement software solutions using workflow automation, geospatial intelligence and mapping, and artificial intelligence to improve our clients' business processes - Collaborate with cross-functional teams to design, develop, and launch innovative software solutions that meet our clients' needs - Actively engage in software architecture and design reviews - Maintain and enhance existing software applications to keep up with the evolving needs of the business - Write clean, efficient, and well-documented code that adheres to industry best practices - Participate in code reviews and provide constructive feedback to peers - Keep up-to-date with emerging technologies and industry trends to ensure our software solutions remain at the forefront of the industry About the team WWRE Tech manages software tools to centralize data about Amazon's building launches. Since inception, these tools have grown to encompass Amazon's worldwide operations (outside physical stores): we now manage thousands of ongoing new launches, retrofitting, and lease-related projects. We establish global standards for managing data related to these capital projects. Inclusive team culture At Amazon, we embrace our differences and are committed to promoting a culture of inclusion. We host annual and ongoing learning experiences. Amazon’s culture of inclusion is reinforced by our 14 Leadership Principles, which remind team members to seek diverse perspectives, be inquisitive, and earn trust. Work Life Balance We believe that maintaining the right balance between your personal and professional life is key to lifelong happiness and fulfilment. We offer flexible working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is committed to supporting new members. We have a diverse mix of experience levels and tenures, and we're building an environment that fosters knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member become a better-rounded professional. We are open to hiring candidates to work out of one of the following locations: Mexico City, DIF, MEX Basic Qualifications - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - Experience with Big Data technologies such as AWS, Hadoop, Spark, Pig, Hive, Pig, Hive, Presto, HBase, etc. Preferred Qualifications - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience with ML libraries/frameworks such as Tensorflow, AWS Sagemaker, Keras, PyTorch, etc.