Parallel and distributed computing jobs

Applied Scientist, Sponsored Products and Brands

Amazon · Posted Nov 13, 2026

Open

New York, New York, United States
On-site
Full-time · Senior
$172K–$223K per year

Applied Scientist, Sponsored Products and Brands

Amazon · Posted Nov 13, 2026

Open

New York, New York, United States
On-site
Full-time · Senior
$172K–$223K per year

Applied Scientist II, AWS Applied Data Science Labs

Amazon · Posted Nov 12, 2026

Open

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

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Apply the latest research, state of the art machine learning and GenAI to build highly scalable models in support of predictive research and products used across AWS Sales and leadership.

Compensation

USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

Responsibilities

Design and execute science experiments in short and agile cycles
Work closely with business leaders to identify opportunities to drive business growth by applying machine learning and building out predictive models to support analytics and insights
Mentor junior scientists
Contribute to peer reviews

Requirements

PhD in computer science, machine learning, engineering, or related fields
Nice to have: Professional software development
Nice to have: Solving business problems through machine learning, data mining and statistical algorithms

Skills

Machine learning Econometrics Data science Java C++Python

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
4+ years

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As an Applied Scientist on the Search L1 Ranking team, you will build search ranking models that work for thousands of product types, billions of queries, and hundreds of millions of customers spread around the world. This role focuses on efficient models for early stage ranking phase, and techniques to personalize these models and optimize them automatically.

Locations (2)

Seattle, Washington, United States
Palo Alto, California, United States

Compensation

USA, CA, Palo Alto - 171,600.00 - 222,200.00 USD annually USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

Responsibilities

Build search ranking models for thousands of product types and billions of queries
Find next set of big improvements to ranking
Leverage large datasets to understand customer behavior
Build ML models at Amazon scale
Analyze data from A/B tests

Requirements

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

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, Sponsored Products and Brands

Applied Scientist, Sponsored Products and Brands

Compensation

Responsibilities

Requirements

Skills

Benefits

Applied Scientist II, AWS Applied Data Science Labs

Compensation

Responsibilities

Requirements

Skills

Applied Scientist, Search Ranking and Exploration

Locations (2)

Compensation

Responsibilities

Requirements

Applied Scientist, Trust and Store Integrity Science

Compensation

Responsibilities

Requirements

Skills

Pricing Optimization Scientist, Pricing Science

Compensation

Responsibilities

Requirements

Skills

Senior Applied Scientist, Fauna

Compensation

Responsibilities

Requirements

Skills

Benefits

Skills

Benefits

Benefits

Benefits

Benefits