Machine Learning SDE-II, Compass - Amazon : Job Details

DescriptionAre you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you'll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers' experiences in ways we can't even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.Robotic Movement team is seeking a deeply technical, highly motivated and hands-on machine learning engineer to take our robotic mobility solution to its next level! To advance the capabilities of the largest fleet of Amazon robots, the team is envisioning a next generation AI-powered mobility architecture. As a machine learning software engineer, you will be a thought leader in supporting the ground-up development and scaling of these initiatives across navigation, mapping, path planning and data services. You will gain hands-on experience with large-scale robotic fleet optimizations to accelerate advances in machine learning and foundation models.Key job responsibilitiesLead, design and support the development of novel ML systems, product integrations, and performance optimizationsDesign, develop, integrate, troubleshoot, optimize, test and lead the development of software which control and optimizes robotic fulfillment centers at very large scalePrototype and test concepts or features, both through simulation tools and emulators and with live robotic equipmentCollaborate closely with the research organization, principal applied scientists and software engineers to bring research to productionEnvision, lead, and support the development of novel ML systems, product integrations, and performance optimizationsLead, mentor, challenge and grow enthusiastic, collaborative software engineers and applied scientists across the organizationA day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:Medical, Dental, and Vision CoverageMaternity and Parental Leave OptionsPaid Time Off (PTO)401(k) PlanIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!Basic Qualifications3+ years of non-internship professional software development experienceExperience programming with at least one software programming language2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experienceExperience in machine learning, data mining, information retrieval, statistics or natural language processing2+ years of experience in object-oriented programming and modern programming languages (C, C++, Java, Kotlin, Python)Preferred Qualifications4+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experienceML data management, creating training datasets, building and training machine learning infrastructure, model deployment, ML infrastructure monitoring and maintenance, familiarity with architectural choices for ML systems.Bachelors, masters or PhD in Computer Science or equivalent experience in MLAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit