דרושים Applied Scientist Prime Video Sports ב-אמזון

- 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

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

As an Applied Scientist in our team, you will be responsible for the research, design, and development of new AI technologies for personalization. You will adopt or invent new machine learning and analytical techniques in the realm of recommendations and large language models. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include inventing, experimenting with, and launching new features, products and systems.

- PhD in CS/EE or related field, or MSc and 5+ years of applied research experience
- Strong CS foundations (data structures and algorithms)
- Excellent coding and design skills, proficiency with programming languages such as Java or Python
- Several publications at top-tier peer-reviewed research conferences or journals
- Strong communication and collaboration skills

PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
3+ years of building models for business application experience
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in 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

Experience with genAI and agents
Experience in shipping AI products

Key job responsibilities- Partner with other engineers to ideate, design, and build scalable solutions.- Tackle complex technical challenges across the stack - from data pipelines to large scale services.

- Experience (non-internship) in professional software development
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design

Key job responsibilities
* Lead research initiatives in Multimodal generative AI, pushing the boundaries of model efficiency, accuracy, and scalability.
* Design, implement, and evaluate deep learning models in a production environment.
* Collaborate with cross-functional teams to transfer research outcomes into scalable AWS services.
* Publish in top-tier conferences and journals, keeping Amazon at the forefront of innovation.
* Mentor and guide other scientists and engineers, fostering a culture of scientific curiosity and excellence.
About the team
About the team
Diverse Experiences
Amazon 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.Why AWS
Work/Life BalanceMentorship and 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.

* Ph.D. or Master’s in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field.
* Proven expertise in AI/ML fields such as LLMs, Computer Vision, Generative AI, NLP, or foundational models.
* Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and familiarity with cloud-based computing platforms.
* Strong analytical, mathematical, and coding skills (e.g., Python, C++, or Java).
* First author in research publications in peer-reviewed conferences or journals.

* Experience designing and leading complex research projects from ideation to implementation.
* Deep understanding of statistical modeling, optimization, and algorithm development.
* Excellent communication skills, with the ability to convey complex technical information to diverse audiences.

Key job responsibilities
As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to write technical white papers, create roadmaps and drive production level projects that will support Amazon Science.A day in the life• All of our internships offer a competitive stipend/salary
• Interns are paired with an experienced manager and mentor(s)
• Interns receive invitations to different events such as intern program initiatives or site events
• Interns can build their professional and personal network with other Amazon Scientists
• Interns can potentially publish work at top tier conferences each year
Start dates are available throughout the year and durations can vary in length from 3-6 months for full time internships and up to 12 months for part time internships.Please note these are not remote internships.

Enrolled in a PhD or Master's degree in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or related fields.Experience programming in Java, C++, Python or related language.

Have publications at top-tier peer-reviewed conferences or journalsExperience in designing experiments and statistical analysis of resultsExperience implementing algorithms using toolkits and self-developed code

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting
complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders
to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our
customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for
leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout
the project.
outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which
cover a variety of solutions, technologies, and industries.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
Amazon 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.
Work/Life BalanceMentorship and 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.

- 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.