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PSW Job in Oakville
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ESSENTIAL DUTIES AND RESPONSIBILITIES: Include the following: Other duties may be assigned.
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…compensation. Compensation is determined based on the position and its responsibilities, without regard to gender, race, ethnicity, religion, physical ability, sexual orientation, marital…
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Amazon Science

Sr. Applied Scientist - AWS Catalog, AWS Catalog

Vancouver, BC, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 2, 2026
Posting language: English
Posted: Oct 11, 2026

Original job description

Description

This is a chance to work at the front of data security and governance with Amazon scale impact on customers. As a Sr. Applied Scientist III, you bring your education, experience, and expertise in formal methods, programming languages, and automated reasoning to the permissions model behind AWS's data catalog, so that customers can state precisely who may see which data and trust that the answer holds wherever that data is read. Experience with LLMs, multi-agent workflows, and structured guardrails that raise determinism in LLM output is a plus. In this role you join a strong group of applied scientists in a highly supportive environment with real cognitive safety and room to grow.

Key job responsibilities

You combine deep expertise in programming languages and automated reasoning to design the language and the formal semantics customers use to express permissions over catalog resources, down to the level of individual columns and rows. The model has to stay correct, compact, expressive enough for real customer intent, explainable when it denies a request, and exhaustively testable. Much of the difficulty is navigating ambiguity to balance those properties against each other. You write clear narratives and documentation that enumerate the design choices and build consensus quickly.

You lead design and delivery of scientifically complex components that are rarely revisited once shipped and that deliver measurable customer benefit. The problems are concrete: proving that a change to a policy cannot expand access beyond what the author intended, deciding whether two policies written in different models grant the same thing, showing that a fast evaluation path on the request hot path agrees with the reference semantics, and keeping permissions faithful to intent as schemas and data evolve underneath them. You maintain detailed knowledge of your team's systems and proactively drive improvements in efficiency and consistency across team boundaries.

You influence your team's science and business strategy, collaborating with Applied Scientists, Engineers, and Product Managers across identity, storage, analytics, and machine learning teams, and contributing to roadmaps, goals, and priorities. You harmonize discordant views and build consensus through thoughtful feedback. Beyond your team, you apply advanced techniques to bottleneck problems and are regarded as a reliable, creative problem solver. You further AWS's academic influence through publications, talks, and advancing the state of the art in data security, governance, programming languages, and automated reasoning.

About The Team

The team owns the permissions layer of AWS's data catalog. That covers 1/ the model and formal semantics customers use to author permissions across catalogs, databases, tables, columns, and rows, 2/ the evaluation path that turns those permissions into an authorization decision on every request, under latency budgets that leave no room for a slow answer, 3/ the detection and resolution of divergence between what a customer intended and what is actually enforced as resources change over time, and 4/ converging existing permission models onto one, including the reasoning needed to show that a migration preserves a customer's access boundaries. The team works closely with identity, storage, and analytics teams across AWS.

Basic Qualifications

6+ 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

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.

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. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.

CAN, BC, Vancouver - 195,900.00 - 327,200.00 CAD annually

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More about this job

Responsibilities

Design and deliver the permissions language, formal semantics, and authorization systems for AWS's data catalog, ensuring policies are correct, explainable, efficient, and preserve customer access boundaries as data and schemas evolve. Lead complex scientific work, build cross-team consensus, improve system efficiency and consistency, and advance research through publications and talks.

Requirements

Requires a PhD, or a master's degree with at least six years of applied research experience, plus at least six years of experience building machine learning models for business applications. Candidates must have programming experience in Java, C++, Python, or a related language, and experience with neural deep learning and machine learning; experience with modeling tools and large-scale distributed systems is preferred.

Skills

Formal Methods
Programming Languages
Automated Reasoning
Data Security
Data Governance
Permissions Modeling
Formal Semantics
Policy Analysis
Machine Learning
Neural Deep Learning
Large Language Models
Multi-Agent Workflows
Java
C++
Python
Distributed Systems

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Prescription Coverage
Basic Life Insurance
Accidental Death And Dismemberment Insurance
Deferred Profit Sharing Plan
Paid Time Off
Sign-On Payments
Restricted Stock Units

Visa sponsorship

Not detected in the job text

Keywords

AWS Data Catalog
Formal Methods
Programming Languages
Automated Reasoning
Data Security
Data Governance
Permissions Model
Formal Semantics
Authorization
Policy Evaluation
Policy Migration
Access Control
Column-Level Permissions
Row-Level Permissions
Machine Learning
Neural Deep Learning
Large Language Models
Multi-Agent Workflows
Structured Guardrails
Java
C++
Python
R
Scikit-Learn
Spark MLlib
MXNet
TensorFlow
NumPy
SciPy
Hadoop

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