Applied Scientist

Amazon; Seattle (WA); On-site; USD 136,000 - 224,000; Full time

Job summary

Amazon Web Services is seeking a Machine Learning professional to join their dynamic team. This role involves designing solutions, leading projects, and collaborating with scientists and engineers to implement advanced science applications. Qualified candidates will have a strong educational background and experience in developing models and systems for various applications within the cloud environment.

Qualifications

• 4+ years' experience in CS, CE, ML or related fields.
• Experience in patents or publications in peer-reviewed journals.
• 3+ years of building models for business applications.

Responsibilities

• Design and develop innovative science solutions.
• Drive Machine Learning projects from end-to-end.
• Conduct hands-on data analysis and run A/B tests.

Skills

Machine Learning

Data Analysis

Python

Algorithms

Education

PhD or Master's degree

Tools

Unix/Linux

Job description

Job ID: 2999742 | Amazon Web Services, Inc.

As cloud technologies continue to transform businesses, skilled individuals are in high demand. At AWS Training and Certification (T&C), we are passionate about revolutionizing the way people advance their cloud skills and careers. We equip diverse builders of today and tomorrow with the knowledge they need to leverage the power of the AWS Cloud. Join our dynamic, fast-growing team and help us empower our customers to build cloud skills.

Key job responsibilities
• Design, develop, and evaluate innovative science solutions to solve diverse challenges and opportunities across industries
• Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
• Build science solutions using different methodologies, perform proof-of-concept, experiment, and optimization.
• Work with scientists and software engineers to implement science solutions/services/applications to production.
• Perform hands-on data analysis, run regular A/B tests, and communicate the impact.
• Be the technical practitioner in Machine Learning and Generative AI; lead efforts within this team and across other teams; research new and innovative machine learning approaches.

About the team
Diverse Experiences
AWS 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?
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.

Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

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.

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.

BASIC QUALIFICATIONS

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 3+ 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: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

PREFERRED QUALIFICATIONS

- Experience in professional software development
- Experience using Unix/Linux
- Experience with AI, large scale distributed systems, online recommendation, personalization, or search

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.

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