Role at a glance
- Job function
-
AI & Data AI Research & Applied Science
- Salary
- Not yet verified Check the description for pay details; an amount or pay period has not been verified.
- Location
- New York, New York, United States Seattle, Washington, United States
- Work arrangement
- On-site
- Experience
- Senior Level Basic Qualifications - 6+ years of building machine learning models or developing algorithms for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability - Experience with neural deep learning methods and machine learning - Knowledge of programming languages such as C/C++, Python, Java or Perl Preferred Qualifications - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - Experience in building machine learning models for business application
- Education
- PhD, or Master's degree and 6+ years of applied research experience
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Role Summary
The Applied Scientist develops generative AI science and product-ready code for advertiser-facing creative features. The role focuses on creating high-quality creative content using approaches such as large language models, generative audio, computer vision, and latent diffusion.
What You'll Do
- Develop generative AI science and deliver product-ready code.
- Build customer (advertiser)-facing features.
- Publish, patent, and contribute innovation research.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required: PhD, or Master's degree and 6+ years of applied research experience; 6+ years of building machine learning models or developing algorithms for business application; experience with large-scale machine learning systems, neural deep learning methods and machine learning; and knowledge of C/C++, Python, Java, or Perl.
Preferred
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Experience in building machine learning models for business application
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Basic Qualifications
- 6+ years of building machine learning models or developing algorithms for business application experience- PhD, or Master's degree and 6+ years of applied research experience
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
- Experience with neural deep learning methods and machine learning
- Knowledge of programming languages such as C/C++, Python, Java or Perl
Preferred Qualifications
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Experience in building machine learning models for business application
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 183,800.00 - 248,700.00 USD annually
USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.