Amazon
Machine Learning SDE-III, Robotic Movement Software Systems
Amazon, North Reading, Massachusetts, us, 01864
Machine Learning SDE-III, Amazon Robotics
Job ID: 2584646 | Amazon.com Services LLCAre 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.Key job responsibilitiesThe 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.BASIC QUALIFICATIONS5+ 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.PREFERRED QUALIFICATIONS5+ 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 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.Posted:
November 22, 2024
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Job ID: 2584646 | Amazon.com Services LLCAre 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.Key job responsibilitiesThe 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.BASIC QUALIFICATIONS5+ 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.PREFERRED QUALIFICATIONS5+ 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 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.Posted:
November 22, 2024
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