Core to Amazons DNA is its methodology around executing experiments and prototypes to find the quickest way to prove new ideas, technologies, and business models in a real-world environment. Experimentation fuels Amazons innovation. If you are a highly creative problem solver who works to inspire, motivate, and define cutting edge solutions; are passionate about technology, understand cloud architectures & platforms, and are quick to pick up emerging technologies; are adept at working with custo... more details
DESCRIPTION
Core to Amazons DNA is its methodology around executing experiments and prototypes to find the quickest way to prove new ideas, technologies, and business models in a real-world environment. Experimentation fuels Amazons innovation. If you are a highly creative problem solver who works to inspire, motivate, and define cutting edge solutions; are passionate about technology, understand cloud architectures & platforms, and are quick to pick up emerging technologies; are adept at working with customers to experiment with innovative approaches, and validate the technical feasibility of solutions - this could be the role for you!
Prototyping at AWS helps customers envision complex uses of AWS Services by building working prototypes of specific customer use cases, tailored to their data, devices and systems. Prototyping engagements are designed to be innovative and evaluative, demonstrating "the art of the possible" on AWS.
Key job responsibilities * As a key member of the AWS Specialist Prototyping team, ensure customer success through hands-on participation producing and demonstrating Prototypes on the AWS platform. * Participate in deep architectural design discussions to ensure Prototypes are crafted for successful deployment in the cloud. * Conduct one-to-few and one-to-many training sessions to transfer knowledge to Prototyping customers, and internal business partners * Act as a Thought Leader for your area of domain expertise across AWS, and share best-practice knowledge among the community. * Author or otherwise contribute to AWS customer-facing publications such as peer reviewed position papers, blogs, etc. * Act as a technical liaison between customers, service engineering teams, and sales.
We are open to hiring candidates to work out of one of the following locations:
Santa Clara, CA, USA
BASIC QUALIFICATIONS
- PhD, or Master's degree and 4+ years of applied research experience - Experience in building machine learning models for business application - Experience programming in Java, C++, Python or related language - Experience using managed ML/AI solutions
PREFERRED QUALIFICATIONS
- Experience conveying complex subject matter to customers and stakeholders - Hands-on experience in training or fine-tuning large (language or multimodal) generative models - Familiarity with distributed training, inference, acceleration method/implementation/library for LLMs or large-scale ML in general.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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