Job Description

Are 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 innovative 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. Key job responsibilities Robotic Movement team is seeking a deeply technical, highly motivated and hands-on senior 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 senior machine learning engineer, you will be a thought leader 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. As a senior ML engineer, you will * Lead the vision and architecture for AI-powered mobility solution across navigation stack involving mapping, path planning and data services * Collaborate closely with the research organization, principal applied scientists and software engineers to bring research to production * Envision, lead, and support the development of novel ML systems, product integrations, and performance optimizations * Lead, mentor, challenge and grow enthusiastic, collaborative software engineers and applied scientists across the organization A day in the life Amazon 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: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If 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! - 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 - 2+ years of experience building, scaling, and optimizing ML systems - Prior experience working in collaboration with ML/scientists and taking concepts from ideation to production systems.- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - MS or PhD in Computer Science or equivalent experience in ML - ML 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. - Adept at handling ambiguous or undefined problems Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. #J-18808-Ljbffr Amazon Jobs

Job Tags

Full time, Temporary work, Internship, Seasonal work,

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