Applied Scientist, Skill Builder AWS Training and Certification, Skill Builder, AWS Training and Certifications

Job description

Description
AWS Training & Certification is looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background to help build industry-leading inference technology.

We have a vision to provide delightful training experiences by pushing the envelope in multimodal LLMs, and leveraging Amazon's unique experience and expertise.

You will envision new ways to solve customer problems, provide innovative learning experiences across modalities, and enable our customers to solve challenging business problems by upskilling their workforce.

Key job responsibilities
The Applied Scientist II will contribute to the development of AI systems.

The role requires extending existing scientific techniques and inventing new ones to address specific customer needs at a training and certification product level.

You should be comfortable working semi-autonomously on difficult problems with visible risks or roadblocks.

You'll work closely with product and engineering leaders within the team.

We're looking for scientists who can maintain high standards while moving quickly, prioritizing both rapid experimentation and responsible AI development to deliver measurable customer impact.

AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments.

Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services.

Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center.

You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.

About the team
The AWS Training and Certifications team is dedicated to cultivating millions of highly skilled cloud professionals by delivering industry-leading training products and experiences, and certifications.

Starting with Skill Builder – a comprehensive hub for all AWS skill acquisition – the team is dedicated to offering deeply personalized experiences for individuals, and highly customizable experiences for organizations across modalities, assessments and certificates.

Customers can access training content – both free and paid – from a wide variety of training products such as digital courses, learning plans, instructor led classroom training, simulated learning environments, game based learning formats, hands-on labs, and social cohorts.
Including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

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.

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.

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.
Basic Qualifications
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field 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: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
- Experience using Unix/Linux
- Experience in professional software development

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers.

If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets.

The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/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.

Required Skill Profession

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