דרושים Sde Ii Machine Learning Agi Foundations ב-אמזון ב-United States, Sunnyvale

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
Key job responsibilities
- Develop ML models for various recommendation & search systems using deep learning, online learning, and optimization methods- Stay up-to-date with advancements and the latest modeling techniques in the field
- Publish your research findings in top conferences and journals
A day in the life

- 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 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

Key job responsibilities
• Develop high-performance inference software for a diverse set of neural models, typically in C/C++
• Design, prototype, and evaluate new inference engines and optimization techniques
• Participate in deep-dive analysis and profiling of production code
• Optimize inference performance across various platforms (on-device, cloud-based CPU, GPU, proprietary ASICs)
• Collaborate closely with research scientists to bring next-generation neural models to life
• Partner with internal and external hardware teams to maximize platform utilization
• Work in an Agile environment to deliver high-quality software against tight schedules
• Hold a high bar for technical excellence within the team and across the organization

- 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
- Bachelor's degree in Computer Science, Computer Engineering, or related fields
- Experience programming with at least one software programming language, or experience in embedded development in C/C++
- Master's degree, or a PhD and experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience with portable device hardware architectures
- Experience working effectively across cross-functional teams and partnering well with people at all levels within an organization
- Experience creating novel algorithms and advancing the state of the art
- Experience with inference frameworks such as PyTorch, TensorFlow, ONNXRuntime, TensorRT, LLaMA.cpp, etc.
- Proficiency in performance optimization for CPU, GPU, or AI hardware
- Proficiency in kernel programming for accelerated hardware using programming models such as (but not limited to) CUDA, OpenMP, OpenCL, Vulkan, and Metal
- Experience with latency-sensitive optimizations and real-time inference
- Knowledge of model compression techniques (quantization, pruning, distillation, etc.)
- Experience with LLM efficiency techniques like speculative decoding and long context

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.In this role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale solutions for never-before-solved problems.Key job responsibilities
1. Lead end-to-end delivery of complex AI/ML engagements, from strategic planning through to pre-production deployment and optimization
2. Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and SageMaker
3. Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams5. Drive innovation in applied AI/ML, contributing to methodologies and reusable solutions across the practice
6. Influence customer AI strategy through technical expertise and industry insights8. Provide thought leadership in internal and external engagements
9. Support pre-sales activities to provide technical expertise and review project scoping and risksAbout 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

- Strong experience in building large scale machine learning or deep learning models and in Generative AI model development
- Experience in data and machine learning engineering and cloud native technologies
- Strong experience communicating across technical and non-technical audiences
- Strong experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation

- Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science
- Knowledge of the primary AWS services (ec2, elb, rds, route53 & s3)
- Experience with software development life cycle (sdlc) and agile/iterative methodologies
- Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet

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.AWS Global Services
Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
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

- Extensive experience in large-scale software development with proficiency in multiple programming languages (e.g., Java, Python, C++, JavaScript).
- Proven track record in designing and building highly available, resilient, large-scale distributed systems.
- Strong background in software engineering best practices, including code reviews, source control, testing, deployment, and release management.
- Experience with Agile methodologies, DevOps practices, and leading innovation initiatives across teams or customers.

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
Key job responsibilities
- Develop ML models for various recommendation & search systems using deep learning, online learning, and optimization methods- Stay up-to-date with advancements and the latest modeling techniques in the field
- Publish your research findings in top conferences and journals
A day in the life

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- 1+ years of building models for business application experience
- 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 developmentPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

AGS Area Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or designing entirely new cloud-based systems.Specialist SAs play a critical role in capturing customer feedback, advocating for roadmap enhancements, and anticipating customer requirements as they work backwards from their needs. As domain experts, SSAs also participate in field engagement and enablement, producing content such as whitepapers, blogs, and workshops for customers, partners, and the AWS Technical Field.Key job responsibilities
• 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
• Conduct one-to-few and one-to-many training sessions to transfer knowledge to customers considering or already using AWS
• Capture and share best-practice knowledge amongst the AWS solutions architect community
• Author or otherwise contribute to AWS customer-facing publications such as whitepapers
• Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates
• Act as a technical liaison between customers, partners, service engineering teams and support
• Expect international and domestic business trip.A day in the life
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

- Agentic AI, Machine Learning (ML), Deep Learning (DL), Artificial Intelligence (AI) and GenAI experience.
- 10+ years of experience working with software development, AI, ML and Deep Learning
- 10+ years of customer-facing experience, preferably in the enterprise space
- Experience developing solutions and passion for getting hands dirty with code/scripting (e.i., python, java, c#, .NET, Node.js)

- 10+ years hands-on experience building complex solutions
- Knowledge and/or experience in one or more of the following: (1) Data Streaming Services and OpenSearch, (2) Database
- Strong verbal and written communications skills.
- Meets/exceeds Amazon’s functional/technical depth and complexity for this role
- Fluency in English

As Senior Software Development Engineer, you will be responsible for defining, building and supporting the system design, architecture, and software for Ring IoT products. As a member of our team, you will be interacting closely with the business and cross-functional engineering teams across different organizations to gather engineering requirements, design and implement new features. You will contribute to all aspects of an agile software & systems development life cycle including design, architecture, development, documentation, testing and operations. You are the engineer that other engineers can count on; you are technical, you attack every problem with enthusiasm.Key job responsibilities
• Dive deep and take ownership for critical design issues involving algorithm, hardware/firmware interfaces, IoT interfaces, overall system performance, etc.
• Participate in design reviews for complex embedded systems, simulations, algorithms and software development
• Influence and partner to develop the technical strategies for overall system designs
• Solve problems using the most appropriate combination of hardware, software, systems design, architecture, process, or operations.
• Lead reviews of architecture, design, operations, process, or post-incident analysis for your team. Actively participate in reviews of systems owned by partner teams.
• Define and/or refine system requirements, participate in the development and delivery of Interoperability-related features such as system health monitoring, diagnostics, repair, and other self-healing automation.
• Develop embedded software in C/C++A day in the life
Your work is very hands-on and multi-disciplinary. You will be working closely with vendors, engineers, and product teams. You write documents, carry out experiments, demonstrate proof-of-concepts, build prototypes, and ship sophisticated systems.

- 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
- BS degree in Electrical Engineering, Computer Engineering, Computer Science or related field, or equivalent practical experience.
- 7+ years of experience in embedded systems development, design or test
- 7+ years of experience with MATLAB, Python, C, C++ or a similar programming language
- 3+ years of experience with: networking concepts, WiFi, VLAN, LTE, APN, AT modem commands, interfaces, routers, network packets, Unix sockets API

- Master’s / PhD in Electrical/Computer Engineering
- Experience in embedded firmware development for IoT devices
- Experience with low level device driver development and troubleshooting embedded operating systems
- Experience with cloud IoT connectivity development
- Experience with network modeling and wireless system development
- Experience with board support packages, Linux environments