89 applied ml engineer jobs at 37 companies in Enumclaw, WA
3w
Save
Mark Applied
Hide
3w
Senior Applied ML Engineer
Irving or Middleton or Denver or Seattle
$123k-$170k/yrHybridFull Time
Paradigm: A software transforming residential and construction industry operations globally.
5+ YOEBachelor's or Master's in CS/ML,5+ years designing and deploying applied ML at scale,experience in CV and NLP,proficiency with Python and ML frameworks,MLops and cloud deployment experience.
Sr. Applied ML Engineer, Apple Services Localization Engineering
Seattle, Washington, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Expertise in machine learning and machine translation, building secure end-to-end solutions, developing custom server-side software and APIs, and applying privacy-preserving engineering practices.
Docker: Provides a platform for building, sharing, and running containerized applications.
8+ YOE8+ years professional software engineering experience, 5+ years applied ML experience, bachelor's in CS/Engineering or equivalent, experience shipping ML systems, LLM/agent experience, on-call participation possible.
OpendoorNASDAQ: OPEN: Online platform for buying and selling residential real estate.
Strong Python software engineering; end-to-end ML model development and deployment; deep learning (ConvNets, Transformers); advanced degree; stats; good communication.
Gradial: Automates enterprise marketing operations and content supply chains.
4+ YOE4+ years software engineering experience with 1+ year on AI/ML applications, fluency with OpenAI or Anthropic APIs, practical LLM and prompt engineering knowledge, production experience integrating external environments.
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
10+ YOE5+ MgmtSenior ML engineering leader; 10+ years in applied ML; 5+ years leading engineering teams; experience shipping generative AI at enterprise scale.
CUDA, NCCL, GPU stack, inference pipelines, data pipelines
United States or California or San Jose or Seattle or Portland or Boston or Chicago
$250k-$289k/yrRemoteFull Time
WEXNYSE: WEX: Provides global payment processing and business information management services.
12+ YOE12+ years in software or ML engineering, including 5+ years in applied AI/ML research. Requires advanced expertise in model architecture, algorithms, Python, deep learning frameworks, distributed AI, cloud, and ML platforms.
lululemonNASDAQ: LULU: Designs and retails technical athletic apparel and lifestyle products.
11+ YOEBachelor's in CS/data/engineering or equivalent; 11+ years AI/ML research experience; deep expertise in generative AI, NLP, computer vision, multimodal learning; experience with Python and PyTorch; ability to lead enterprise AI strategy and translate research to production.
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.
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
PhD or equivalent research experience required. Experience with programming languages, compilers, program analyzers, and program synthesis engines is beneficial; machine learning and AI accelerator experience is preferred.
Boston or Chicago or Dallas or Los Angeles or Minneapolis or New York City or San Francisco or Seattle or Washington, D.C.
$225k-$304k/yrOnsiteFull Time
West Monroe: Business and technology consultancy specializing in digital transformation.
7+ YOE7+ years in software/data/ML/AI or architecture with hands-on AI engineering; strong Python plus TypeScript/Java/C# experience; experience with LLMs, RAG, agents, MLOps, and hyperscaler AI platforms; ability to work in US without sponsorship.
Scale AI: Provides data and infrastructure for training artificial intelligence models.
4+ YOE4+ years in software engineering, ML, or applied AI; strong Python; experience building production AI systems with LLMs; experience with OpenAI/Claude/MCP/agent frameworks and quantitative evaluation; excellent communication.
DigitalOceanNew York Stock Exchange: DOCN: Simplifies cloud infrastructure for developers, startups, and SMBs.
8+ YOE8+ years building production AI/ML systems with experience in memory and retrieval systems, strong Python and at least one production systems language, and experience shipping LLM-powered or agentic products.
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
Expertise training LLMs/LMMs and image/video generation models, familiarity with transformer architectures, Python development, ML frameworks, distributed training, and strong communication; PhD or Master’s preferred.
Sobek AI: AI-powered collaboration platform for life sciences and public health
Experience shipping production AI/LLM systems, strong Python and/or TypeScript skills, practical ML/LLM fundamentals, and experience with production engineering for reliability, security, and observability.
NTT DATA AIVistaTokyo Stock Exchange: 9613: Developing AI-native enterprise products and agentic workflows
5+ YOEPhD or equivalent; 5+ years AI/ML in production; impactful research (publications/patents); strong deployment and collaboration with engineering.
Python, Machine Learning, Deep Learning, LLMs, Multimodal AI, Knowledge Graphs
Montréal or Ottawa or Toronto or Bellevue or New York
$103k-$111k/yrOnsiteFull Time
ShopifyNYSE: SHOP: A global commerce platform for building and managing online stores.
Full-time winter internship; must be legally authorized to work in the hiring country, relocate to office city, strong coding, research, and ML problem-solving skills.
AMC Health: Provides remote patient monitoring and virtual care technology.
7+ YOE7+ years building production backend systems, strong Python skills, cloud distributed systems experience (AWS), hands-on LLM/generative AI experience, full ML lifecycle proficiency, and disciplined practice in regulated environments. US work authorization required.