Amazon ASIC Design Engineer Cloud-Scale Machine Learning Acceleration team 

United States, California, Cupertino 

3472443

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.We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.Key job responsibilities
* Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate leading generative AI solutions to address real-world challenges* Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
* Provide customer and market feedback to product and engineering teams to help define product direction
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.AWS Global Services

- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 5+ years experience in designing, building, and/or operating cloud solutions in a production environment
- 4+ years experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
- 4+ years hands on experience with Python to build, train, and evaluate models
- 4+ years technical client engagement experience

- Masters or PhD degree in computer science, or related technical, math, or scientific field
- 3+ years experience working with deep learning, machine learning, generative AI, or statistics
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker.
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience building cloud solutions with AWS