6 ai evaluation engineer jobs at 6 companies in Bellingham, WA
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AI Evaluation Engineer
Kitchener or Vancouver
$104k-$120k/yrOnsiteFull Time
Dialpad: AI-powered cloud communication and contact center software platform.
3+ YOE3+ years QA/test or applied ML quality experience; Bachelor's or Master's in CS/Software Engineering/Computational Linguistics or related; experience with evaluation datasets, LLM/NLP/speech systems, and strong analytical skills.
lululemonNASDAQ: LULU: Designs and retails technical athletic apparel and lifestyle products.
6+ YOEBachelor's in CS/ML or related, 6+ years building AI/ML production solutions, experience with MLOps, model evaluation, LLM/GenAI systems, mentoring, and platform engineering.
AsanaNYSE: ASAN: Software platform for team project management and workflow automation.
5+ YOE5+ years working in large codebases; experience building developer tools, IDE/editor integrations, CLIs, or internal platforms; hands-on experience with AI-assisted development tools and evaluation frameworks; strong systems design and technical judgment.
Information Technology - Principal Platform Engineer, Enterprise AI Enablement
Vancouver or Seattle or Toronto or New York City or Los Angeles
OnsiteFull Time
AritziaToronto Stock Exchange: ATZ: Designs and sells everyday luxury women's clothing and accessories.
Deep enterprise AI and platform architecture experience, LLMOps/MLOps, AI guardrails and observability, vector DBs and data orchestration, vendor evaluation, and cross-functional leadership for enterprise AI enablement.
Azure AI Studio, AWS Bedrock, Google Cloud Vertex AI, LLMOps, MLOps, RAG
Gumloop: Platform for building AI automated workflows without code.
Customer-facing technical sales experience; strong API, integration, data pipeline, Python, and JavaScript/TypeScript skills; hands-on AI/LLM application experience; ability to lead technical evaluations and build solutions.
Vancouver or United States or Canada or United Kingdom or Europe or Asia
$238k-$300k/yrHybridFull Time
Motive: Provides an AI-powered fleet management and physical operations platform.
12+ YOE6+ MgmtRequires 12+ years in software engineering, 6+ years leading teams, and 2+ years managing managers. Deep CI/CD, Kubernetes, Terraform, cloud, observability, AI tooling, LLM evaluation, security, and distributed-team experience required.
Rails, Go, Kubernetes, Terraform, AWS, CI/CD, MCP, LLM, DORA, IDE