Sr. Applied Scientist, AWS Prototyping

Description

Core to Amazon’s 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 Amazon’s 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.

About the team

Why AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Utility Computing (UC)

AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

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.

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.

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.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.