17 full stack ml engineer jobs at 15 companies in Olympia, WA
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Lead AI/ML Software Engineer
Boston or Colorado Springs or McLean or Oahu or Remote or Tacoma or Tampa
$180k-$230k/yrRemoteFull Time
Raft: Builds AI and data platforms for U.S. national defense.
6+ YOE6+ years in full-stack production software; distributed systems; Kubernetes and cloud-native platforms; security and compliance knowledge; top-secret clearance eligibility.
Expedia GroupNASDAQ: EXPE: Operates a global platform for travel bookings and services.
5+ YOEBachelor's degree or equivalent experience,5+ years building and operating production full‑stack services,ownership of components,strong fundamentals in algorithms and system design,experience with modern web technologies and AI/ML-enabled workflows.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Experience building ML-inference stacks for deployment on Apple Silicon, distributing work across on-SoC acceleration hardware and multi-node clusters, and scaling platforms and features.
Seattle or Chicago or Los Angeles or Atlanta or Houston or Arlington or San Francisco or Morristown or Boston or Dallas or San Diego or New York
HybridFull Time
AccentureNYSE: ACN: Global provider of management consulting and technology services.
3+ YOEBachelor's in CS/engineering or related field; 3+ years in client-facing tech delivery; strong backend/API/full-stack or ML workflows; experience with enterprise hardening and deployment.
Software Development Engineer III - InsurTech - Full Stack
Seattle, Washington, United States
$146k-$205k/yrOnsiteFull Time
Expedia GroupNASDAQ: EXPE: Operates a global platform for travel bookings and services.
5+ YOEBachelor's in CS or related (or equivalent experience), 5+ years professional experience, API design and data modeling, proficiency in a modern programming language, familiarity with AI/ML and cloud/distributed systems.
Sr. Manager, Software Development, ML Network Stack - Annapurna Labs
Seattle, Washington, United States
$220k-$298k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
10+ YOE5+ Mgmt10+ years engineering experience,5+ years managing engineering teams; strong systems programming,networks,RDMA,HPC and HW/SW co-design;NVIDIA/ML experience and Agile program management preferred.
BlockNYSE: XYZ: Creates financial tools for businesses and individuals.
8+ YOE8+ years in ML/production models; degree in technical field; strong quantitative and visualization skills; full-stack capability; effective communicator.
Python, SQL, Machine Learning, Data Pipeline, Cloud, Spark
F5NASDAQ: FFIV: Provides application delivery networking and multi-cloud security solutions.
10+ YOE10+ years software engineering with recent ML/AI production experience; strong full-stack and backend skills; expertise in Python, Java, React/Next.js, MLOps, cloud (AWS/Azure), CI/CD, IaC, containers, and observability.
React, Next.js, TypeScript, JavaScript, Node.js, Python, Go, Java, Spring Boot, Hibernate, Postgres, DynamoDB, Aurora, Kinesis, S3, Microsoft Azure Blob, Microsoft Cosmos DB, JUnit, TestNG, Mockito, Selenium, Cucumber, Solace, Kafka, AWS SNS, AWS SQS, GitHub Actions, Microsoft Azure DevOps, Jenkins, Terraform, Microsoft Bicep, Microsoft ARM, Docker, Kubernetes, AKS, EKS, Salesforce Service Cloud, Experience Cloud, Coveo, Spark, Databricks, SQL, MLOps
Wherobots: Cloud-native platform for geospatial data analytics and AI.
5+ YOE5+ years building distributed data/ML systems; hands-on experience with Ray, PyTorch, GPU inference, Python scientific stack, object storage, and large-scale data formats.
Allen Institute for Artificial Intelligence: Non-profit institute developing open-source artificial intelligence for scientific impact.
5+ YOE5+ years professional software engineering experience; full-stack systems, distributed systems, cloud tooling; experience integrating ML into production; on-call experience; strong communication and ownership skills.
Esri: Global leader in geographic information system (GIS) software.
3+ YOE3+ years Python and SQL experience, ML for time series/quantitative modeling, full-stack ML (ETL→training→deployment), strong CS fundamentals, backtesting/quant finance or high-performance computing, AWS experience preferred.
San Francisco or Chicago or New York City or Seattle or Atlanta or Indianapolis or Austin
$179k-$286k/yrHybridFull Time
SalesforceNYSE: CRM: Sells cloud-based customer relationship management and business software solutions.
Strong skills in Python and Linux, some React; experience with production cloud deployments (AWS or GCP); familiarity with Kubernetes, full-stack debugging, security best practices, and building ML/AI pipelines.
San Francisco or Palo Alto or Chicago or New York City or Seattle or Atlanta or Indianapolis or Austin
$197k-$314k/yrHybridFull Time
SalesforceNYSE: CRM: Sells cloud-based customer relationship management and business software solutions.
Strong abilities with Python and Linux, some React; experience with AWS or GCP production deployments, cloud architectures, field-debugging full-stack deployments, security best practices, and building ML/AI tools and pipelines.
Newport Beach or Irvine or San Francisco or Denver or Seattle
$165k-$220k/yrHybridFull Time
Compa: AI-powered compensation intelligence platform for enterprise teams.
5+ YOE5+ years shipping production software; proficiency in a modern web language/framework and full‑stack fluency; proven ownership of complex systems; leadership in technical decisions. AI/ML and data-product experience preferred.
Phoenix Group of Virginia: Provides logistics and engineering services to the U.S. Navy.
4+ YOEExpertise in LLM/RAG engineering, production MLOps, Python data stack, cloud ML (AWS/Databricks), and DoD-compliant AI operations; U.S. citizenship and ability to obtain/hold Secret clearance.
ADVANA, Databricks, AWS SageMaker, LangChain, LangGraph, cURL, Hugging Face Transformers, Pandas, Polars, SQL, Spark, Databricks Delta Lake, Gemini, Azure ML, Google Vertex AI
Field AI: Develops autonomous software brains for robots in unstructured environments.
4+ YOEBachelor's or Master's in CS/AI/Statistics or related, 4+ years industry ML experience, proficiency in Python and PyTorch/TensorFlow/JAX, C++ for deployment, deep learning and navigation stack knowledge, production deployment experience.