Parallel and distributed computing jobs

Applied Scientist, Search Ranking and Exploration

Amazon · Posted Nov 12, 2026

Open

Seattle, Washington, United States +1 more
On-site
Full-time · Senior
$143K–$222K per year

Applied Scientist, Search Ranking and Exploration

Amazon · Posted Nov 12, 2026

Open

Seattle, Washington, United States +1 more
On-site
Full-time · Senior
$143K–$222K per year

Applied Scientist, Trust and Store Integrity Science

Amazon · Posted Nov 9, 2026

Open

Seattle, Washington, United States
On-site
$143K–$193K per year
4+ years

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Compensation

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 - 142,800.00 - 193,200.00 USD annually

Responsibilities

Innovate with the latest GenAI/LLM/VLM technology to build highly automated solutions for efficient risk evaluation and automated operations
Design, develop and deploy end-to-end machine learning solutions in the Amazon production environment to create impactful business value
Learn, explore and experiment with the latest machine learning advancements to create the best customer experience

Requirements

PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Nice to have: leading large-scale AI transformation projects
Nice to have: strong publication record in top-tier conferences/journals such as CVPR, NeuIPS, ICML, ACL, EMNLP

Skills

Java C++

Pricing Optimization Scientist, Pricing Science

Amazon · Posted Nov 9, 2026

Open

Seattle, Washington, United States
On-site
Full-time · Senior
$143K–$193K per year
4+ years

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Applied Scientist to build sequential decision-making methods for pricing using contextual bandits, reinforcement learning, and online optimization.

Compensation

The base salary range for this position is listed below... 142,800.00 - 193,200.00 USD annually

Responsibilities

Prototype a contextual bandit policy for a product segment with sparse sales history
Stress-test policies in simulation against the current production approach
Dig into why a policy is exploring more than expected and trace it to a reward signal
Work through a reward design with an economist to credit price changes
Review online experiment readouts and decide on scaling

Requirements

PhD
Master's degree
Nice to have: professional software development
Nice to have: Unix/Linux
Nice to have: architectural concepts

Skills

Java C++Python algorithms and data structures parsing numerical optimization

Senior Applied Scientist, Fauna

Amazon · Posted Nov 7, 2026

Open

New York, New York, United States
On-site
Full-time · Senior
$184K–$249K per year
6+ years

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Lead the development of evaluation frameworks and data collection protocols for robotic capabilities, focusing on designing how to measure, stress-test, and improve robot behavior across real-world tasks.

Compensation

The base salary range for this position is listed below... 183,800.00 - 248,700.00 USD annually

Responsibilities

Design and implement evaluation frameworks to measure robot capabilities across structured tasks, edge cases, and real-world scenarios
Develop task definitions, success criteria, and benchmarking methodologies that enable consistent and reproducible evaluation of policies
Create and refine data collection protocols that generate high-quality, task-relevant datasets aligned with model development needs
Build and iterate on teleoperation workflows and operator interfaces to support efficient, reliable, and scalable data collection
Analyze evaluation results and collected data to identify performance gaps, failure modes, and opportunities for targeted data collection

Requirements

PhD
Master's degree
Nice to have: Unix/Linux
Nice to have: professional software development

Skills

Java C++Python

Applied Scientist II, Sponsored Products and Brands Agent

Amazon · Posted Nov 5, 2026

Open

Toronto, Ontario, Canada
On-site
Full-time · Mid
CA$149K–CA$249K per year
3+ years

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Design and implement machine learning models and algorithms that power advertiser-facing AI experiences, using generative AI to transform the advertising lifecycle.

Compensation

The base salary range for this position is listed below. ... 149,300.00 - 249,300.00 CAD annually

Responsibilities

Design and implement machine learning models and algorithms that power advertiser-facing AI experiences, ensuring scientific rigor from research through production deployment.
Conduct applied research to extend or invent new approaches for complex advertising problems where no textbook solutions exist, working backwards from advertiser needs.
Collaborate with engineering, product, and science teams to integrate your solutions directly into large-scale production systems serving millions of advertisers.
Analyze experimental results and system performance to identify improvement opportunities, making informed tradeoffs between model complexity, latency, and business impact.
Mentor other scientists, provide peer feedback on research procedures and results, and contribute to the team's scientific roadmap and technical direction.

Requirements

Nice to have: Unix
Nice to have: Linux
Nice to have: professional software development

Skills

machine learning models

Applied Scientist - GenAI, Trust and Store Integrity Science

Amazon · Posted Nov 5, 2026

Open

Seattle, Washington, United States
On-site
Full-time · Senior
$143K–$193K per year
4+ years

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Building advanced machine learning systems using GenAI/LLM/VLM technology to manage the safety of millions of transactions and prevent eCommerce fraud through automation.

Compensation

The base salary range for this position is listed below... 142,800.00 - 193,200.00 USD annually

Responsibilities

Innovate with the latest GenAI/LLM/VLM technology to build highly automated solutions for efficient risk evaluation and automated operations
Design, develop and deploy end-to-end machine learning solutions in the Amazon production environment to create impactful business value
Learn, explore and experiment with the latest machine learning advancements to create the best customer experience
Build scalable, efficient, and automated processes for large-scale data analyses, model development, model validation, and model implementation
Provide clear and compelling reports for solutions and contribute to ongoing innovation and knowledge-sharing

Requirements

PhD
Master's degree
Nice to have: GenAI
Nice to have: LLM
Nice to have: VLM

Skills

Java C++Python

Applied Scientist

Amazon · Posted Nov 5, 2026

Open

New York, New York, United States
On-site
$172K–$223K per year
3+ years

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Develop and optimize Visual Inertial Odometry and sensor fusion systems for Amazon’s intelligent robots.

Compensation

USA, NY, New York - 172,400.00 - 223,400.00 USD annually

Responsibilities

Design and implement Visual Inertial Odometry algorithms for robust real-time state estimation on robotic platforms
Develop multi-sensor fusion pipelines integrating cameras, IMUs, and other sensing modalities for accurate pose tracking
Optimize perception and tracking algorithms for deployment on embedded hardware (e.g., ARM, GPU-accelerated edge devices) under strict latency and power constraints
Apply modern ML-based perception techniques to complement and improve classical geometric approaches
Build and maintain calibration, evaluation, and benchmarking infrastructure for perception systems

Requirements

Nice to have: Unix/Linux
Nice to have: professional software development
Nice to have: publications at major robotics or computer vision conferences
Nice to have: real-time systems programming
Nice to have: performance profiling on ARM/GPU platforms

Skills

Java C++Python

Applied Scientist, WWOS Tech

Amazon · Posted Nov 5, 2026

Open

Seattle, Washington, United States
On-site
$143K–$193K per year
3+ years

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Compensation

Responsibilities

Own KPIs that measure theft/fraud management performance and efficiencies.
Detect and automate theft, fraud MOs
Detect organized crime rings and bad actor clusters
Perform end to end evaluation of operational defects, system gaps, and scaling challenges (both system and operational).
Contribute to the overall fraud management and product development strategies.

Requirements

PhD
Master's degree
Nice to have: Unix/Linux
Nice to have: professional software development

Skills

building models for business application Java C++Python

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