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Added 16 mins ago
Research Scientist Intern, Video RecSys (PhD)
Meta
Menlo Park, CA
Prior research or project experience in one or more of the following areas: LLM-based agents and agentic workflows, recursive self-improvement, automated machine learning (AutoML),…
Added 16 mins ago
Research Scientist Intern, MSL - Agentic Post-Training (PhD)
Meta
Menlo Park, CA
Work hands-on across the full LLM post-training stack, and execute, analyze, and iterate on large-scale post-training runs.
Added 16 mins ago
Software Engineer II - AI/ML, Neuron Inference, Neuron Inference
Amazon
Cupertino, CA
This role is responsible for development, enablement, and performance tuning of a wide variety of LLM model families, including massive-scale large language models like the GLM, GPT-OSS,…
Added 16 mins ago
Manager 2, Developer Productivity
Intuit
MOUNTAIN VIEW, CA
…building reliable, scalable backend systems; experience in Developer Productivity and Developer Platform domains is a strong…
Added 16 mins ago
Software Engineer, Applied AI Agents, Professional Intelligence, DeepMind
Google
Mountain View, CA
Experience designing evaluations for LLM or ML systems and using them to drive measurable quality improvements.
Added 16 mins ago
Senior Software Engineer, Data and Infrastructure, Professional Intelligence, DeepMind
Google
Mountain View, CA
Build agent capabilities design and implement skills, plugins and typed tools for LLM agents that search, read, reason over and cite large private corporate.
Added 16 mins ago
Associate Product Manager
Americor
Irvine, CA
Bonus: experience with voice AI / LLM products, call centers or outbound sales.
Added 16 mins ago
Principal Software Engineer – Application Security & AI Trust Architecture
Cisco
San Jose, CA
Design trust boundaries, sandboxing models, and execution guardrails for autonomous application agents and LLM tool-calling workflows.
Added 17 mins ago
CTO, Anthropic Practice
EPAM Systems
San Francisco, CA
Agentic systems in production: has designed and shipped LLM-based agents that run real workflows, with tool use, multi-step planning, multi-agent orchestration, retrieval, memory, and…
Added 18 mins ago
EG
Dev Lead
Eliassen Group
Sacramento, CA
- $110 to $120 USD / hour
Designing GenAI and LLM applications for retrieval and synthesis over large document collections.
Added 18 mins ago
EG
Knowledge Graph Architect
Eliassen Group
Sacramento, CA
- $100 to $120 USD / hour
…reusable knowledge foundation that can support AI, GraphRAG, LLM, and agent-based applications. This role requires expertise in designing and building enterprise knowledge graphs and…
Added 32 mins ago
S
Senior Full Stack Engineer, AI Products - Stout Strategy
Stout
Denver, CO
- $87,000 to $195,000 USD / year
Work on the LLM-backed core of the product, including extraction, retrieval, chat and content generation, and help measure and improve output quality.
Added 54 mins ago
EG
Knowledge Graph Architect
Eliassen Group
Nashville, TN
- $100 to $120 USD / hour
…reusable knowledge foundation that can support AI, GraphRAG, LLM, and agent-based applications. This role requires expertise in designing and building enterprise knowledge graphs and…
Added 54 mins ago
EG
Dev Lead
Eliassen Group
Nashville, TN
- $110 to $120 USD / hour
Designing GenAI and LLM applications for retrieval and synthesis over large document collections.
Added 1 hour ago
Applied Scientist, Customer360
Amazon
Seattle, WA
Invent new approaches to contextual retrieval, relevance scoring, and LLM-based summarization.
Added 1 hour ago
Applied Scientist, Customer360
Amazon
Seattle, WA
Invent new approaches to contextual retrieval, relevance scoring, and LLM-based summarization.
Added 1 hour ago
EG
Dev Lead
Eliassen Group
Olympia, WA
- $110 to $120 USD / hour
Designing GenAI and LLM applications for retrieval and synthesis over large document collections.
Added 1 hour ago
EG
Knowledge Graph Architect
Eliassen Group
Olympia, WA
- $100 to $120 USD / hour
…reusable knowledge foundation that can support AI, GraphRAG, LLM, and agent-based applications. This role requires expertise in designing and building enterprise knowledge graphs and…
Added 1 hour ago
C
SR Data Tester ( Azure Databricks)- Local to Chicago only
Cognizant
Chicago, IL
- $100,000 to $135,000 USD / year
…responsible for validating data pipelines, ensuring data quality, LLM Model code review and testing, automating test execution, and supporting CI/CD processes for enterprise data…
Added 1 hour ago
SA
AI Architect
Scientific Applicati
Colorado Springs, CO
- $70 to $110 USD / hour
The role combines hands-on architecture and implementation with technical leadership, focusing on secure onsite/private LLM deployments, enterprise data integration, and production-ready AI…
Added 1 hour ago
EG
Knowledge Graph Architect
Eliassen Group
Springfield, IL
- $100 to $120 USD / hour
…reusable knowledge foundation that can support AI, GraphRAG, LLM, and agent-based applications. This role requires expertise in designing and building enterprise knowledge graphs and…
Added 1 hour ago
EG
Dev Lead
Eliassen Group
Springfield, IL
- $110 to $120 USD / hour
Designing GenAI and LLM applications for retrieval and synthesis over large document collections.
Added 1 hour ago
EG
Knowledge Graph Architect
Eliassen Group
Topeka, KS
- $100 to $120 USD / hour
…reusable knowledge foundation that can support AI, GraphRAG, LLM, and agent-based applications. This role requires expertise in designing and building enterprise knowledge graphs and…
Added 1 hour ago
EG
Dev Lead
Eliassen Group
Topeka, KS
- $110 to $120 USD / hour
Designing GenAI and LLM applications for retrieval and synthesis over large document collections.
Added 1 hour ago
EG
Knowledge Graph Architect
Eliassen Group
Salem, OR
- $100 to $120 USD / hour
…reusable knowledge foundation that can support AI, GraphRAG, LLM, and agent-based applications. This role requires expertise in designing and building enterprise knowledge graphs and…

Amazon

Applied Scientist, Customer360

Seattle, WA, United States

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Job details

Posting language: English
Posted: Sep 3, 2026

Original job description

Description

Amazon serves hundreds of millions of customers. Each one has a unique history of purchases, preferences, and behaviors. Our team's mission: turn that history into real-time contextual intelligence that makes every Amazon experience feel personal.

We're hiring an Applied Scientist to push the boundaries of what's possible with LLMs, semantic retrieval, and customer understanding at scale.

The problem space: Imagine a system that can instantly synthesize years of customer signals - what they bought, what they love, what they're planning - and surface the exact right context for any experience, in milliseconds. That's what we build. It's equal parts information retrieval, generative AI, and systems engineering.

Why this role:

Scale: Your models will serve 1,500+ requests per second across Amazon's largest surfaces.
Impact: Direct revenue attribution in the hundreds of millions - your work shows up in customer experiences the same week.
Frontier tech: Fine-tuning LLMs, building custom embedding models, designing retrieval architectures that balance quality with sub-100ms latency constraints.
Data richness: Access to one of the most comprehensive customer behavior datasets anywhere.
Ownership: End-to-end - from research to production deployment to metric evaluation.

Key job responsibilities

Invent new approaches to contextual retrieval, relevance scoring, and LLM-based summarization.
Fine-tune and evaluate language models for domain-specific understanding.
Design experiments that measure real customer impact, not just benchmark scores.
Ship production systems and iterate based on live metrics.
Collaborate across teams - Alexa, Search, Recommendations - as a platform that powers them all.
Mentor team members and shape the technical direction of our roadmap.

Please visit https://www.amazon.science for more information.

A day in the life

You'll analyze large-scale behavioral data, design experiments, and build models that ship to production. You'll work closely with engineers to ensure your science translates into low-latency, high-reliability systems. You'll present findings to leadership and influence product strategy. Some weeks you'll be deep in model architecture; other weeks you'll be debugging a relevance gap in production. Every day, your work reaches real customers.

About the team

We're a small, high-impact team that values scientific rigor and engineering craft equally. The team values innovations and offers a safe place to try, fail and learn while fostering a culture of continuous improvement. Everyone is a leader and owner for everything we do as a team. Our team offers creative space with entrepreneurial work environment focusing on customer obsession.

Basic Qualifications

3+ years of building models for business application experience
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Experience in designing experiments and statistical analysis of results
Experience in patents or publications at top-tier peer-reviewed conferences or journals

Preferred Qualifications

Experience using Unix/Linux
Experience in professional software development

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 - 142,800.00 - 193,200.00 USD annually

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More about this job

Skills

Research
Debugging
Process improvement
ML
Oracle Java
C++
Python
Data mining
Distributed computing
Statistics
UNIX
Linux
Software development
Recruitment
Mental health

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