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Llm Evaluation Jobs in Bothell, WA (NOW HIRING)

Lead AI Engineer

Bellevue, WA · On-site

$155K - $167K/yr

Conduct LLM evaluation using automated and human-in-the-loop techniques (offline + online). * Optimize inference workflows for latency , GPU utilization , and cost efficiency (quantization, batching ...

Technical Product Manager, LLM/ML Domain

Seattle, WA · On-site

$190K - $219K/yr

... evaluation, retraining, versioning, and observability of ML/LLM systems • Drive adoption through documentation, training, and internal evangelism • Collaborate with engineering to level up Agoda ...

Deployed Engineer (Seattle)

Seattle, WA · On-site

$165K - $380K/yr

Worked with LLM evaluation, observability, or guardrails * Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts * Have shipped and operated production ...

AI Automation Engineer L1

Bellevue, WA · On-site

$100 - $180/hr

Build LLM evaluation pipelines covering relevance, groundedness, and hallucination metrics integrated into CI/CD workflows to enforce automated quality gates before every model or agent deployment.

AI Engineer

Seattle, WA

$50K - $112K/yr

... LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation frameworks, including LLM-as-judge pipelines, regression ...

Showing results 21-40

Llm Evaluation information

What is the difference between Llm Evaluation vs Data Scientist?

AspectLlm EvaluationData Scientist
Required CredentialsTypically requires knowledge of machine learning, NLP, and AI concepts; often a degree in computer science or related fieldsRequires degrees in computer science, statistics, or related fields; often includes certifications in data analysis or machine learning
Work EnvironmentPrimarily research and testing environments, focusing on AI model assessmentData analysis, modeling, and visualization in various industries like finance, healthcare, or tech
Employer & Industry UsageUsed by AI research labs, tech companies, and organizations developing NLP modelsUsed across industries for data analysis, predictive modeling, and business insights

While both roles involve working with data and machine learning, Llm Evaluation focuses on assessing large language models' performance, whereas Data Scientists develop and implement data-driven solutions across various sectors.

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Infographic showing various Llm Evaluation job openings in Bothell, WA as of August 2026, with employment types broken down into 2% As Needed, 76% Full Time, 20% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Applied Scientist, AWS Insights & Optimization

Amazon

Seattle, WA

Full-time

Re-posted 21 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,147 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers


Job description

AWS Insights & Optimization is looking for an Applied Scientist to help develop sophisticated algorithms and models that involve analyzing and learning from over 540 billion customer cost, usage, and utilization events daily. We use this data to power cost anomaly detection, cost forecasting, rightsizing recommendations across seven compute services, Savings Plans optimization, and AI-powered conversational experiences that help customers understand and optimize their AWS spend. Our team's vision is to be the world's provider of intelligent AWS cloud financial management, where customers can understand, control, and optimize usage of AWS products.

We sit at the nexus of all AWS services and interact directly with end-customers, building relationships with teams across AWS to ensure we offer a secure and reliable experience that builds trust and provides intelligent insights.
As a successful Applied Scientist in AWS Insights & Optimization, you will own models end-to-end - from problem formulation through experimentation to production deployment. Your work may span cost anomaly detection (decomposition, detection, and root cause attribution), time-series forecasting with a focus on accuracy and consistency, rightsizing engines for EC2, EBS, Lambda, ECS, RDS, and Aurora, LLM evaluation science for AI-powered agent experiences, or agent memory architectures that enable persistent, adaptive behavior across sessions. You will work closely with applied scientists, software engineers, and product teams to enhance existing models and build new ones that solve challenging customer problems

You will drive implementation of proposed models, establish testing strategies to validate them before and after production, and define evaluation metrics that determine whether capabilities meet the quality bar. We value accuracy over speed, measurability over intuition, and simplicity over complexity - the simplest model that meets the bar wins. You are an analytical problem solver who enjoys diving into data, are excited about investigating and developing algorithms, and can influence technical teams and business stakeholders to solve real-world customer problems.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US