דרושים Applied Scientist Store Tech ב-אמזון ב-China, Beijing

Key job responsibilities
1. Generative AI Model Development:
-Design and develop generative AI models, including language models, image generation models, and multimodal models.
-Explore and implement advanced techniques in areas such as transformer architectures, attention mechanisms, and self-supervised learning.
-Conduct research and stay up-to-date with the latest advancements in the field of generative AI.2. Data Acquisition and Preprocessing:
-Identify and acquire relevant data sources for training generative AI models.
-Develop robust data preprocessing pipelines, ensuring data quality, cleanliness, and compliance with ethical and regulatory standards.
-Implement techniques for data augmentation, denoising, and domain adaptation to enhance model performance.3. Model Training and Optimization:
-Design and implement efficient training pipelines for large-scale generative AI models.
-Leverage distributed computing resources, such as GPUs and cloud platforms, for efficient model training.
-Optimize model architectures, hyperparameters, and training strategies to achieve superior performance and generalization.4. Model Evaluation and Deployment:
-Develop comprehensive evaluation metrics and frameworks to assess the performance, safety, and bias of generative AI models.
5. Collaboration and Knowledge Sharing:-Contribute to the firm's thought leadership by presenting at conferences, and participating in industry events.About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- Master's or Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
- 4+ years of experience in developing and deploying machine learning models, with a strong focus on generative AI techniques.
- Proficiency in programming languages such as Python, PyTorch, or TensorFlow, and experience with deep learning frameworks.
- Strong background in natural language processing, computer vision, or multimodal learning.
- Ability to communicate technical concepts to both technical and non-technical audiences.

- Experience with large language models, such as Claude, GPT, BERT, or T5.
- Familiarity with reinforcement learning techniques and their applications in generative AI.
- Understanding of ethical AI principles, bias mitigation techniques, and responsible AI practices.
- Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and distributed computing frameworks (e.g., Apache Spark, Dask).
- Strong problem-solving, analytical, and critical thinking skills.
- Strong communication, collaboration, and leadership skills.

Key job responsibilities
Your superior communication, organizational and technical skills will enable you to operate in a fast-moving and sometimes ambiguous environment, where you will have the autonomy to take full control and responsibility for achieving our business objectives.- Partner/Channel development and management .

- Bachelor's degree or equivalent, or 3+ years of sales or marketing work (like e-commerce, retail technology, SaaS) or equivalent experience

- 2+ years of inside sales experience
- Knowledge of procurement and source to pay methods at small and medium businesses
- Experience influencing at all levels within an organization, particularly at the executive level
- Experience exceeding sales targets using a consultative, solutions-focused approach or equivalent

You will learn all about how to design, implement and test highly scalable solutions using AWS cloud platform and its many products, in challenging agile projects, working with best-in-class professionals.

- Past experience in being a technical leader and have previous track record in delivering large scale solutions in a very ambiguous environment
- Ability to understand and evaluate critical applications from end-to-end and evaluate high level and low-level design
- Experience mentoring and training the engineering community on complex technical issues
- Active contributor on teams technical strategy and account for technical tradeoffs that can impact existing applications as well as other applications within Amazon
- 8+ years of software development experience
- Proficiency in at least one of the following programming languages: C, C++, C#, Java, Python, Golang, Kotlin, JavaScript, Clojure.
- System Design experience with event-driven and microservices architecture
- Proficiency in spoken and written English

- Experience building complex software systems that have been successfully delivered to customers
- Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead engineering efforts to meet timelines with optimal solutions
- A high degree of pragmatism in building the simplest thing that does the job; we want to use technology to solve real-world problems expediently, not indulge in over-designed, unnecessarily intricate software architecture.
- A good understanding of Software Development Life-cycle models and a track record of shipping software efficiently. You recognize the difference between building software and shipping software
- A strong track record of large and cross-functional project deliveries.
- Sharp analytical abilities and proven system design skills
- Bachelor’s degree in Computer Science, Computer Engineering or a related technical discipline OR Master’s degree in computer science, Math or Physics or related field

Key job responsibilities

- Bachelor's degree in computer science or equivalent
- 3+ years of non-internship professional software development experience
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

- Master's degree in computer science or equivalent
- 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

Key job responsibilities
- Understands the various operations across Associates Risk and Back-end support tasks
- Understands the requirements of stakeholders and is able to map them with the data sources/data warehouse- Provide wing-to-wing project life-cycle execution (project planning, execution, risk assessment and system availability)
- Understanding of analytical methods and support experiments and report out (Distribution theory, regression, forecasting, Machine Learning Techniques, etc.)
- Identify new pattern of abuse and make recommendations for new controls and improved monitoring, using Data analysis. Support Investigators with extraction of relevant data to support large scale analysis
- Develop and oversee the initiation of strategy recommendations
- Own and report the HC distribution and utilization of Variable HC and report to finance. Come up with recommendations for efficient utilization and automation, improve efficiency

- 3+ years of tax, finance or a related analytical field experience
- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- 3+ years of business or financial analysis experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience making business recommendations and influencing stakeholders
- Experience with Excel

- 4+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience

Key job responsibilities
As a Software Development Engineer, you will help solve a variety of technical challenges and work with a team of extremely talented engineers. Given that we explore new and exciting areas, you will play an active role in translating business and functional requirements into concrete deliverables and build quick prototypes or proofs of concept. You will help invent new features, design systems, develop and deploy highly scalable and reliable distributed services. You will tackle challenging, novel situations every day and given the size of our initiatives, you’ll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that, frankly, haven’t been solved at scale before. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of customers.

- 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of non-internship professional software development experience
- Experience programming with at least one software programming language
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Ability to communicate in English

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Master's degree in computer science or equivalent

As an Applied Scientist for Search JP, you will design, implement and deliver search features on Amazon site, helping millions of customers every day to find quickly what they are looking for. You will propose innovation in NLP and IR to build ML models trained on terabytes of product and traffic data, which are evaluated using both offline metrics as well as online metrics from A/B testing. You will then integrate these models into the production search engine that serves customers, closing the loop through data, modeling, application, and customer feedback. The chosen approaches for model architecture will balance business-defined performance metrics with the needs of millisecond response times.Key job responsibilities
- Designing and implementing new features and machine learned models, including the application of state-of-art deep learning to solve search matching, ranking and Search suggestion problems.
- Analyzing data and metrics relevant to the search experiences.
Your benefits include:

- 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

- Knowledge of programming languages such as C/C++, Python, Java or Perl
- Experience with state-of-the-art modeling algorithms such as LLM, generative AI.