Bilingual Cloud Technical Account Manager/mandarin Aws Enterprise Support jobs at Amazon in United States, Seattle

You: As a Sr. Machine Learning Compiler Engineer III on the AWS Neuron team, you will be a thought leader supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads. Architecting and implementing business-critical features, publish cutting-edge research, and mentoring a brilliant team of experienced engineers excites and challenges you. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams and you will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects. A background in Machine Learning and AI accelerators is preferred, but not required.Work/Life Balance
Mentorship & Career Growth

- 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
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience as a mentor, tech lead or leading an engineering team

- Bachelor's degree in computer science or equivalent

Key job responsibilities
You will lead efforts to build distributed training support into PyTorch and JAX using XLA, the Neuron compiler, and runtime stacks. You will optimize models to achieve peak performance and maximize efficiency on AWS custom silicon, including Trainium and Inferentia, as well as Trn2, Trn1, Inf1, and Inf2 servers. Strong software development skills, the ability to deep dive, work effectively within cross-functional teams, and a solid foundation in Machine Learning are critical for success in this role.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.About AWSWork/Life Balance
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.

- 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
- Develop breakthroughs is agentic architecture in areas such as autonomy, self-validation, and continuous learning.
- Mentor and guide junior scientists.
- Develop technology strategy and roadmap supporting product development
- Develop prototypes for key technology, oversee the productization of the prototype, and develop critical assessment for the prototype
- Write technical reports summarizing R&D progresses and communicate such progresses with stakeholders

- PhD, or Master's degree and 10+ years of CS, CE, ML or related field experience
- 8+ years of building models for business application 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: AI (NLP or multi-modality models), Deep Learning, LLM model training, graph learning, static code analysis, software engineering.

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

Explore the Product:
A day in the life

- B.S. in Computer Science or related field
- 5+ years as a software engineer
- 5+ years of engineering team management experience
- Proven track record in new hardware chip bring-up
- Deep knowledge of backend compiler architecture, including, lowering, control-flow management, DMA optimization, and code generation

- M.S. or Ph.D. in Computer Science or related technical field
- Experience with LLVM and LMIR
- Experience with deep learning models and algorithms.

This position includes being a member of the operational team that requires a week of on-call responsibilities once every 6 to 8 weeks. On-call duties include responding to customer issues, reviewing operational metrics, and improving operational excellence. Nobody likes to be paged in the middle of the night, which is why we place a top priority on ensuring issues are solved at the root cause to prevent them from happening again. Adjustments to the on-call schedule are commonly made to account for personal commitments as they arise.
Mentorship 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

- 4+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience
- 2+ years of non-internship professional software development experience
- 1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Knowledge of systems engineering fundamentals (networking, storage, operating systems)
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby

- Experience with PowerShell (preferred), Python, Ruby, or Java
- Experience working in an Agile environment using the Scrum methodology
- Experience automating and configuring systems using the Desired State Configuration (DSC) in a large enterprise environment
- Experience utilizing AWS cloud solutions in a DevOps environment

In this role, you will drive data-driven decision making, establish efficient workflows, and manage complex problems with effective risk mitigation strategies. Strong communication skills are crucial, as you will interact with senior leadership and create various forms of documentation including strategic narratives and PR/FAQs. We're looking for someone who can foster an inclusive environment, mentor team members, and drive process improvements while maintaining operational excellence. Success in this position requires balancing tactical needs with strategic goals, making thoughtful trade-offs, and consistently improving team operational metrics. The ideal candidate will have a proven track record of building sustainable, high-performing teams and driving strategic initiatives while maintaining exceptional standards of operational excellence.Key job responsibilities
• Collaborate with internal teams or vendors to execute projects and resolve customer issues.
• Lead continuous improvement efforts.
• Audit the quality of work performed and provide constructive feedback when necessary.
• Participate in hiring, training and development of others.
• High attention to detail and capable of managing multiple priorities simultaneously.
• On-call for high-severity issues outside standard hours.
• Work with the team onsite in our corporate offices Monday-Friday.

- Bachelor's degree
- 5+ years of Information Technology (IT) experience
- 7+ years of IT Leadership experience

About Sponsored Products and BrandsKey job responsibilities
As an Applied Science Manager, you will:* Directly manage and lead a cross-functional team of Applied Scientists, Machine Learning Engineers, and Software Development Engineers.
* Develop science and engineering roadmaps for SPB ads response prediction with ML and Gen AI solutions, run annual planning, and foster cross-team collaboration on model development and integration to advertising applications.
* Hire and develop top talent, provide technical and career development guidance to scientists and engineers within and across the organization.
* Stay informed about recent scientific publications, industrial research trends, and system designs that are pertinent to the SPB advertising business and bring those insights with the team.

- 4+ years of applied research experience
- 3+ years of scientists or machine learning engineers management experience
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Experience programming in Java, C++, Python or related language