Work Based Learning Program Logistics Specialist jobs at Amazon in United States, San Francisco

You will maintain an in-depth knowledge of AWS's Generative AI services and relevant cross-functional areas to build strong relationships with field teams, and customers. By driving the adoption of Generative AI technologies, you will play a pivotal role in propelling AWS's revenue growth while helping customers stay ahead of the curve in a rapidly evolving technological landscape. You exercise learn & be curious to articulate AWS’ Gen AI strategy and the services we offer to accelerate adoption. You conduct compelling executive conversations on the transformational possibilities of generative AI and data, while also being capable of helping our customers navigate which features to apply for their use-cases. You can describe the “why” and “what” of generative AI use case and technical solutions at a 200-level, with the detailed “how” being provided by solution architects.
Key job responsibilities
Strategic customer engagement:
Adoption program development:
- As an adoption expert, create and maintain best practices documentation, implementation guides, and training materials to be applied across multiple service domains.
- Track and analyze adoption metrics to measure effectiveness and identify areas for improvement.
- Develop governance frameworks for sustainable adoption at scale across domains.
Customer success management:
Product feedback loop:
- Collect and communicate customer feedback, insights, and requirements to Go-To-Market teams.Diverse ExperiencesAmazon 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 GrowthWe’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.

- Bachelor’s degree in Computer Science, Engineering, Math, or a related field or 5 years of product management or go-to-market, or sales experience.
- 5+ years of GenerativeAI / AI / ML.
- 10+ years in the technology industry focused on customer success or in go-to-market roles, or management consulting serving high-tech clients on go-to-market topics
- Experience engaging and influencing senior customer executives, technologists and/or partners to solve complex business problems with advanced technologies
- Ability to travel up to 15% as needed

- Experience in AWS cloud computing or SaaS, ideal if experience is in GenAI/AI.
- MBA or advanced degree in AI/ML.
- Effective at communicating complex technological solutions to diverse audiences and building strong internal and external brand presence.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Key job responsibilities
- Design and implement highly scalable and realistic simulation environments for training agents using reinforcement learning.
- Develop and deploy generative AI approaches to automate the creation of diverse and complex simulation environments and scenarios.
- Analyze, troubleshoot, and profile complex machine learning systems within the simulation context, identifying and resolving performance bottlenecks.

- PhD, or Master's degree or 5+ years of applied research experience
- Experience programming in C++, Python or related language
- Experience with simulation and synthetic data generation
- Experience with neural deep learning methods and machine learning

- PhD in Computer Science, Machine Learning, or a related field
- 3+ years' experience building machine learning models (includes internships)
- Demonstrated experience in developing and implementing simulation environments or synthetic data generation for reinforcement learning.
- Strong programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch
- Excellent problem-solving skills, with the ability to think creatively and critically about complex problems
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teamsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Key job responsibilitiesThe ideal candidate is passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance AI products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science and Machine Learning. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment.

- 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

In this role, you will work closely with research teams to design, build, and maintain systems for training and evaluating state-of-the-art agent models.Key job responsibilities
* Develop cutting-edge training infrastructure to ensure large-scale reinforcement learning on LLMs runs highly efficient and robust.
* Work across the entire technology stack, including low level ML system, job orchestration and data management.
* Analyze, troubleshoot and profiling complex ML systems, identify and address performance bottlenecks.
* Work closely with researchers, conduct MLSys research to create new techniques, infrastructure, and tooling around emerging research capabilities.

- PhD, or Master's degree and 3+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience debugging ML systems

- PhD in Computer Science, Machine Learning, or a related field, with a focus on ML System.
- Demonstrated experience in developing, implementing and debugging large scale ML systems.
- Experience with distributed system, Megatron, vLLM, Ray, and working with GPUs.
- Experience with patents or publications at top-tier peer-reviewed conferences or journals.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

ABOUT THIS ROLE
ABOUT YOU
As a Senior Software Development Engineer, you will...- Use technology to solve difficult problems. Define a design, turn it into high quality code, and deliver it on schedule. Proficient in a broad range of data structures and algorithms, knowing when it is (and isn’t) appropriate to use them.
- Independently clarify technical requirements, assessing development estimates and apply a broad range of design approaches.
- Mentor and lead developers by cultivating curiosity and deep technical understanding.ABOUT AUDIBLE

- 3+ years of professional software development experience including proven experience in Java, Object Oriented Design, Data Structures and Algorithms.
- 1+ Experience designing developing and maintaining high availability distributed software systems.
- BA/BS degree in Computer Science, related field or equivalent practical experience.
- Server-side development experience, preferably in Java/Spring.
- Experience in multiple AWS services.

- Strong problem-solving skills; adaptable, enterprising and willing to take ownership.
- A high-quality bar; just-enough documentation, unit testing, code reviews, test automation, continuous integration & deployment and a preference for agile methods.
- Full stack software development (Javascript, Java).
- Familiarity with RDS and NoSQL.

Key job responsibilities
- Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc.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.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.

- 5+ years design and implementation experience with NoSQL technologies and Key-value stores such as ElastiCache, Aerospike, Redis, Memcached, including NoSQL data modeling.
- 3+ years software architecture and development experience using languages such as Java, Python, Go, and Node.js
- - A degree in computer science, software engineering, or mathematics or 10 years equivalent work experience.
- - Knowledge of the underlying infrastructure requirements such as Networking, Storage, and Hardware Optimization.
- - Demonstrated effectiveness working across multiple business units to achieve results.
- - An understanding of computing deployment models as they relate to databases and analytics.
- - Working knowledge of modern software development practices such as agile methodologies and DevOps.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

A day in the life

- Bachelor's degree
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- 6+ years experience working with Microsoft licensing concepts and terms
- Fluency and ability to interpret Microsoft licensing requirements and terms for Windows Server and SQL Server
- Experience engaging directly with enterprise customers in licensing conversations
- Ability to contribute to business innovation in terms of providing better and simpler licensing options for customers
- Skilled at articulating complex concepts to cross-functional audiences

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.