Amazon

Applied Scientist, Tabular Foundational Model, AWS

Seattle, United States · On-site
Salary not published
Posted 7 weeks ago

From Amazon's careers page

Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.

About the role

You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world.

What they ask for vs. your profile

Must have

AWS
Machine learning
Spark
C++
Deep learning
Java
Python
Research
TensorFlow
scikit-learn

Your match

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Amazon

Applied Scientist, Tabular Foundational Model, AWS

Seattle, United States · On-site
Salary not published
Posted 7 weeks ago

From Amazon's careers page

Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.

About the role

Do you want to work on Tabular Foundational Model (TFM) to evolutionize how enterprises unlock insights from structured data? We're building Amazon's frontier large-scale tabular foundation model (Mitra family of models) that understands tables natively—enabling zero-shot analytics, automated feature engineering, and cross-domain generalization across diverse tabular datasets.

Come join the world class researchers and academics in the AWS AI endeavor, and develop the science that powers countless new businesses in cloud computing!

AWS, the world-leading provider of cloud services. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and journals.

The scientific topics you are going to work on include, but are not limited to: pre-training tabular foundational models (Mitra family of models) on heterogeneous tabular data, few-shot adaptation for domain-specific tasks (regression, classification), agentic feature engineering for handling high-cardinality features and missing data patterns, etc.

Show the full description

3+ years of building machine learning models for business application experience

PhD, or Master's degree and 6+ years of applied research experience

Experience programming in Java, C++, Python or related language

Experience with neural deep learning methods and machine learning

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.

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, WA, Seattle - 167,100.00 - 226,100.00 USD annually

What they ask for vs. your profile

Must have

AWS
Machine learning
Spark
C++
Deep learning
Java
Python
Research
TensorFlow
scikit-learn

What they ask for vs. your profile

Must have

AWS
Machine learning
Spark
C++
Deep learning
Java
Python
Research
TensorFlow
scikit-learn

Your match

A free account lets you apply, save this job, see how well you match and check your resume against it.

Career roadmap: Machine Learning EngineerWhat to learn, how to practice and free resources, from beginner to expert.

Reach the hiring team

A short note to a recruiter or the hiring manager after you apply can get your application read sooner.

ATS check

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