Duties: Solve complex technical problems, often ones not solved before, at every layer of the stack; Design, implement, test, deploy and maintain innovative ML solutions to transform service performance, durability, cost, and security; Build high-quality, highly available, always-on products; Research implementations that deliver the best possible experiences for customers
Requirements: 8+ years of non-internship professional software development experience; 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience; Experience building complex software systems that have been successfully delivered to customers; Experience as a mentor, tech lead or leading an engineering team

Duties: Design and build scalable infrastructure that enables training, evaluating and deploying machine learning models over billions of collected historical data points; Design and develop tools for monitoring the performance of machine learning models at scale; Design and develop lineage and artifact tracking infrastructure for training data, ML models and experiments; Design and develop reproducible ML Pipelines that help interpretability and trustworthiness of ML models; Embrace and champion engineering best practices within your group and beyond; Produce clean, high-quality code, tests, and written documentation
Requirements: 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 in machine learning, data mining, information retrieval, statistics or natural language processing

Duties: Use machine learning and analytical techniques to create scalable solutions for business problems; Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes; Design, develop, evaluate and deploy, innovative and highly scalable ML models; Work closely with software engineering teams to drive real-time model implementations; Work closely with business partners to identify problems and propose machine learning solutions; Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance; Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production; Leading projects and mentoring other scientists, engineers in the use of ML techniques
Requirements: 5+ years of building models for business application experience; PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience; Experience in patents or publications at top-tier peer-reviewed conferences or journals; Experience programming in Java, C++, Python or related language; Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Duties: Ability to quickly learn cutting-edge technologies and algorithms in the field of Generative AI to participate in our journey to build the best LLMs; Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying LLM for real-world applications; Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility; Work closely with Applied scientists to process massive data, scale machine learning models while optimizing
Requirements: Bachelor's degree in computer science or equivalent; 3+ years of non-internship professional software development experience; 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience; Experience programming with at least one software programming language

Duties: Collaborate with scientists to understand business objectives, product requirements and develop ML algorithms that achieve them; Design and implement production ML pipelines; Deploy ML pipelines and models to production systems and operate them including monitoring and troubleshooting
Requirements: 4+ years of non-internship professional software development experience; 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience; Experience programming with at least one software programming language

Duties: The scope of an Applied Scientist III in the Selling Partner Services (SPS) Machine Learning Accelerator (MLA) team is to research and prototype Machine Learning applications that solve strategic business problems across SPS domains. Additionally, the scientist collaborates with engineers and business partners to design and implement solutions at scale when they are determined to be of broad benefit to SPS organizations. They develop large-scale solutions for high impact projects, introduce tools and other techniques that can be used to solve problems from various perspectives, and show depth and competence in more than one area. They influence the team’s technical strategy by making insightful contributions to the team’s priorities, approach and planning. They develop and introduce tools and practices that streamline the work of the team, and they mentor junior team members and participate in hiring
Requirements: 4+ years of applied research experience; 3+ years of building machine learning models for business application experience; PhD, or Master's degree and 6+ years of applied research experience; Experience programming in Java, C++, Python or related language

Duties: As a Machine Learning Engineer, you will work closely with science teams to bring research to production. This is a role that combines engineering knowledge, technical strength, and product focus. It will be your job to implement novel ML systems, product integrations, and performance optimizations. You will guide the direction of a MLOPS automation framework via collaboration with the engineering and research communities
Requirements: 3+ years of non-internship professional software development experience; 3+ years experience and knowledge in MLOps, in deploying, operationalizing, and maintaining scalable AI/ML-solutions in production

Duties: Amazon is looking for a passionate, talented, and inventive Sr. Machine Learning Engineer/Research Engineer with a strong machine learning background to help build industry-leading technology in generative AI and foundational models
Requirements: PhD, or Master's degree and 4+ years of machine learning or applied research experience; 4+ years of programming with at least one software programming language experience; 4+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience; 4+ years of non-internship professional software development experience

Duties: We are seeking a Machine Learning Engineer to join a innovative team that builds Generative BI features for QuickSight. You will play a critical role in developing ML systems that analyze large sets of data, extracts insights and make them available to our customers using Natural Language
Requirements: Bachelor's degree in computer science or equivalent; 3+ years of non-internship professional software development experience; 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience; Experience programming with at least one software programming language; Experience in machine learning, data mining, information retrieval, statistics or natural language processing

Duties: Use machine learning and analytical techniques to create scalable solutions for business problems; Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes; Design, development, evaluate and deploy innovative and highly scalable models for predictive learning; Research and implement novel machine learning and statistical approaches; Work closely with software engineering teams to drive real-time model implementations and new feature creations; Work closely with business owners and operations staff to optimize various business operations
Requirements: 3+ years of building models for business application experience; PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience; Experience in patents or publications at top-tier peer-reviewed conferences or journals; Experience programming in Java, C++, Python or related language; Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Duties: Applications are accepted from academic experts in research areas including, but not limited to, the following: Artificial Intelligence, Avionics, Computer Vision, Data Science, Economics, Machine Learning, Optimization, Natural Language Processing, Quantum Computing, and Robotics; As an Amazon Scholar, your responsibilities may include: Advising business leaders on strategic plans; Diving deep to solve a specific technical problem in an organization’s roadmap, and; Advising junior researchers on methods
Requirements: PhD in a relevant field or related discipline; 7+ years of relevant work or academic experience; Experience leading technical research projects with multiple stakeholders; Current affiliation with an academic or research institution

Duties: Drive the direction of our technical solutions, and work on many different technologies such as deep learning, AWS, Auto ML, real-time ML serving systems; Design, develop, and production software to support scalable offline machine-learning pipelines and online serving components; Work closely with applied scientists to optimize the performance of machine-learning models, improve the team’s machine learning productivity, and advance the technical foundation to empower our science innovation. What you create is also what you own
Requirements: 3+ years of non-internship professional software development experience; 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience; Experience programming with at least one software programming language

Duties: Developing personalized recommendation systems that help customers find the right CE products for their needs; Creating high quality educational content leveraging complex AI techniques to simplify complex product information; Building intelligent automation solutions that generate customized bundles, gift guides and warranties personalization at scale; Building AI Assistant tools that have cross-Amazon user adoption, with the potential to transform how employees across the company work
Requirements: Bachelor's degree in computer science or equivalent; 5+ years of non-internship, professional software development experience; 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience; 5+ years of collaborating with, and influencing applied scientists and the broader science community within an organization

Duties: As a Machine Learning Scientist at Amazon, you will connect with world leaders in your field working on similar problems. You will be working with large distributed systems of data and providing technical leadership to the product managers, teams, and organizations building machine learning solutions. You will be tackling Machine Learning challenges in Supervised, Unsupervised, and Semi-supervised Learning; utilizing modern methods such as deep learning and classical methods from statistical learning theory, detection, estimation. MLS’s are specialists with the knowledge to help drive the scientific vision for our products. They are externally aware of the state-of-the-art in their respective field of expertise and are constantly focused on advancing that state-of-the-art for improving Amazon’s products and services
Requirements: 3+ years of building models for business application experience; PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience; Experience in patents or publications at top-tier peer-reviewed conferences or journals; Experience programming in Java, C++, Python or related language

Duties: The Alexa Shopping team is seeking a senior Machine Learning Engineer to partner closely with the Science team as we transform the current Shopping experience with the power of Generative AI. You will bring the newer capabilities Alexa devices are exposing to Amazon's shopping world and pave the way to create unique experiences that weren't possible in the past. You will have the satisfaction of being able to look back and say you were a key contributor to something special from its earliest stages
Requirements: Bachelor's degree in computer science or equivalent; 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience