דרושים Senior 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

Key job responsibilities
* Partner with laboratory science teams on design and analysis of experiments
* Originate and lead the development of new data collection workflows with cross-functional partners
* Develop and deploy scalable bioinformatics analysis and QC workflows
* Evaluate and incorporate novel bioinformatic approaches to solve critical business problems

- 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

- Experience using Unix/Linux
- Experience in professional software development

In this role, you will practice your creativity, linking technology to tangible solutions and educating AWS customers about the art of the possible. You will have the opportunity to define or invent cloud-native reference architectures for a variety of use cases. You will have the support to grow your expertise in industry and technology areas of depth. Every day, you will learn something new from your customers, your peers, and your own experiments.
Key job responsibilities
• As a Solutions Architect, you will work directly with customers to accelerate their projects and recommend best-practice architectures in line with their long-term business outcomes.
• Educate customers of all sizes on the value proposition of AWS, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud.
• You will own the technical relationship with the customer and operate as their trusted advisor. The best interests of the customer will shape the guidance you provide.
• Share the voice of the customer to influence the roadmap of new features and services for the AWS platform.
• Create and capture best practices, technical content, and new reference architectures (e.g., white papers, code samples, blog posts).
• Evangelize and educate about AWS technology (e.g., workshops, user groups, meetups, public speaking, online videos, or conferences).
• Contribute to the growth of the Solutions Architecture organization by hiring, coaching, and mentoring others.
• Develop areas of depth in technical domains such as: Generative AI and Data Analytics, relevant to your interests and your customers' outcomes.
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.

- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing
- Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications
- Fluent English & Hebrew

- Knowledge of distributed systems design and implementation or equivalent
- Knowledge of large scale automation and workflow management or equivalent
- Knowledge of database design and implementation or equivalent
- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
- Experience architecting, migrating, transforming or modernizing customer requirements to the cloud

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
As a Senior Network Software Engineer on SRD team, your primary role will be to develop and optimize the implementation of SRD technology across AWS's network infrastructure. Your responsibilities will encompass designing, deploying, and maintaining SRD code-base, ensuring its reliability and scalability to accommodate the demands of various applications. An essential part of your role will involve conducting extensive network simulations to evaluate system performance under different conditions, enabling you to identify potential bottlenecks and inefficiencies. Using these simulations, you will troubleshoot network issues and implement robust solutions, leading to minimal data loss and latency. Leveraging your in-depth understanding of network protocols and AWS infrastructure, you'll refine and improve the SRD system's performance. Furthermore, you will be expected to mentor junior team members, leading projects to advance the SRD capabilities within the AWS environment. Staying updated with the latest industry trends and incorporating them into strategic network service planning.About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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?Inclusive Team CultureMentorship & 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

- Bachelor’s (or higher) Degree in Computer Science (CS), Electrical Engineering (EE) or related area.
- 8+ years of programming with at least one software programming language experience.

- Data-center Networking.
- Network related simulators.
- Large-scale distributed environments.
- Storage and/or Transport protocols.
- Real-Time development.

Annapurna Labs is like a big start-up in AWS. We develop technologies, work with amazingly talented engineers, and truly shape the future.
Working for Annapurna Labs is thrilling, fast-paced, and a constant learning experience.
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.

- Electrical/Computer Science engineer
- 10+ years of experience with RTL verification
- Knowledge of Hardware Verification concepts and tools (UVM , Coverage Driven verification)
- Sound understanding and knowledge of object-oriented programming concepts
- Verilog/SystemVerilog/Specman

- Knowledge of the following programming languages: Perl/Bash/TCl/Python/
- Knowledge of PCIe, Processors, Ethernet, DDR