Senior Machine Learning Engineer Manager AtlassianSenior Machine Learning Engineer ManagerSeattle, Washington$236,700–$309,025 / yearAs the engineering manager, you will have the opportunities to work with the product managers, Growth engineering teams, Performance Marketing online marketers, Data Science and Data Engineering teams to: Manage the end-to-end machine learning lifecycle, from data collection and preprocessing, to model development and deployment, to evaluation and monitoring. We work cross-functionally across stakeholders in Growth, GTM, Product, Finance and Sales organizations, supporting Rovo Chat product, providing generative AI, machine learning infrastructure and modeling applications.
Machine Learning Engineer Constellation SpaceMachine Learning EngineerSeattle, WashingtonYou will optimize, deploy, and scale machine learning models that directly impact Constellation’s orbital systems and ground operations. Collaborate with data scientists and flight software engineers to integrate AI capabilities into core flight systems.
Principal Machine Learning Engineer Atlassian CorpPrincipal Machine Learning EngineerSeattle, WAAs a Principal Machine Learning Engineer, you will drive the development and implementation of cutting-edge machine learning algorithms, training sophisticated models, and collaborating with product, engineering, and analytics teams to build AI functionalities into Atlassian products and services. Your daily responsibilities will encompass a broad spectrum of tasks - designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to emerging ML engineers.
Staff Machine Learning Engineer, AI Agent Platform Geico InsuranceStaff Machine Learning Engineer, AI Agent PlatformSeattle, WA$115,000–$260,000 / yearBuild and optimize context engineering systems - memory hierarchies (short-term, working, long-term), RAG pipelines, scratchpads, context compaction/summarization, and dynamic skill/tool loading - ensuring AI agents receive the right information at the right time while minimizing token waste. Architect scalable multi-tenant backend systems for AI agent workflows - including AI agent configuration, evaluation, synthetic data generation, workflow simulation & evaluation, MCP server registry, A2A communication infrastructure, and guardrail enforcement layers using AKS, FastAPI, etc.
Senior Deep Learning Engineering - Autonomous Vehicles NVIDIASenior Deep Learning Engineering - Autonomous VehiclesRedmond, CaliforniaWe are looking for hands-on experience training and deploying Large Language Models (LLMs) and Vision-Language Models (VLMs) in production environments. We are seeking a highly skilled Deep Learning Engineer to develop systems and algorithms extracting intelligence from petascale fleets.
Design Engineer Commercial Ice Machines Globenet Consulting CorpDesign Engineer Commercial Ice MachinesBellevue, WashingtonIn the last 20 years, we have developed innovative best-in-class technology solutions to the world’s forward-thinking companies on four key service areas: - Customer Experience: engaging customers with differentiating digital experiences to sustain. The ideal candidate will bring hands-on product engineering experience, strong CAD capabilities, and practical knowledge of refrigeration cycles, thermodynamics, heat transfer, sheet metal design, and manufacturing processes.
Machine Learning Engineer ZoomMachine Learning EngineerSeattle, WAMust have 3 years of experience in the following skills: Utilizing one or more programming languages such as Python, C, C++, or CUDA in building scalable software systems; Deep learning frameworks including PyTorch and TensorFlow; Presenting academic or personal AI projects; Collaborating with cross-functional teams to present technical concepts to both technical and nontechnical audiences; Agentic AI including LLM driven AI agents, agentic RAG; Building scalable, maintainable, and production-ready machine learning systems; and. Must have 1 years of experience in the following skills: Utilizing one or more programming languages such as Python, C, C++, or CUDA in building scalable software systems; Deep learning frameworks including PyTorch and TensorFlow; Presenting academic or personal AI projects; Collaborating with cross-functional teams to present technical concepts to both technical and nontechnical audiences; Agentic AI including LLM driven AI agents, agentic RAG; Building scalable, maintainable, and production-ready machine learning systems; and.
Senior Machine Learning Engineer FieldAISenior Machine Learning EngineerSeattle, Washington$180,000–$215,000 / yearWe bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
Sr Staff Machine Learning Engineer, Adobe Firefly Services AdobeSr Staff Machine Learning Engineer, Adobe Firefly ServicesSeattle, Washington$238,700–$345,650 / yearIn California, the pay range for this position is $238,700 - $345,650 In Washington, the pay range for this position is $223,500 - $323,700 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
NewAI Learning Systems Engineer Bright Vision TechnologiesAI Learning Systems EngineerBellevue, WARemoteFull timeThe role requires deep familiarity with modern reinforcement learning algorithms, simulation environments, reward modeling, and the engineering complexity of training and evaluating policies at scale. We are looking for an AI Learning Systems Engineer to design, train, and deploy RL-based systems for high-impact decision-making problems where supervised learning alone is insufficient.
Senior Manager, Machine Learning Science - Bundled Products ExpediaSenior Manager, Machine Learning Science - Bundled ProductsSeattle, Washington$173,000–$242,500 / yearLead and grow a team of machine learning scientists to deliver production-grade ML solutions that solve complex business problems and improve traveler and partner experiences across multiple product domains. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.
Principal Machine Learning Engineer AxonPrincipal Machine Learning EngineerSeattle, WA$177,000–$283,200 / yearThe ideal candidate will have a consistent track record of successfully optimizing models for the edge and deploying AI models at the edge, including on device with limited memory & connectivity, to serve users world wide. As a Principal ML Engineer at Dedrone, you will contribute to architecting and implementing the platform used by Dedrone scientists to bring safe, secure, reliable AI features to the field of counter UAS devices.
Machine Learning Scientist III ExpediaMachine Learning Scientist IIISeattle, WashingtonWe are looking for a hands-on scientist who is passionate about applying machine learning to complex prediction and optimization problems that drive an ecosystem that anticipates traveler needs, personalizes dynamic add-ons and upsells, and improves service experiences, making travel more seamless for millions of customers and partners worldwide. Expertise in applied ML: Deep, practical knowledge of machine learning theory (supervised/unsupervised learning, deep learning) and statistical modeling and a strong command of experimental design (A/B testing) and causal inference to accurately measure impact.
Staff Security Detection Engineer, Machine Learning SofiStaff Security Detection Engineer, Machine LearningSeattle, WA$144,000–$247,500 / yearSolid understanding of security telemetry sources; identity and access (SSO, IGA, PAM), endpoint/EDR, network/proxy, cloud (AWS/GCP/Azure), and SaaS audit logs, and how to shape them into model features. What you'll do: Design, build, and maintain machine learning models for anomaly detection (unsupervised clustering, time-series and seasonality baselines, isolation forests, autoencoders, risk scoring) with measurable precision/recall targets.
Senior Machine Learning Engineer Geico InsuranceSenior Machine Learning EngineerSeattle, WA$115,000–$230,000 / yearYour passion for scalability, reliability, and usability of generative AI workflows and approaches will allow you to provide hands-on guidance, ensure architectural excellence, and lead by example to solve complex, large-scale, cross-functional problems. Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements, help define project scope and prioritize feature backlogs.
NewMachine Learning Engineer, Radar StripeMachine Learning Engineer, RadarSeattle, WAIn this role, you will own ML work across the full lifecycle: researching new fraud patterns, building and deploying models, and sharing results directly with top Stripe customers. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities.
Senior Manager, Machine Learning Engineering Metropolis Technologies, Inc.Senior Manager, Machine Learning EngineeringSeattle, WA$200,000–$250,000 / yearThe actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical.
Senior Machine Learning Engineering Manager, Ad Platforms The Walt Disney CompanySenior Machine Learning Engineering Manager, Ad PlatformsSeattle, WashingtonYou will apply your battle-tested experience, deep technical knowledge of software and systems including Machine Learning and AI technologies, and leadership skills to unblock and guide our ML/AI team members to design and build scalable, performant, maintainable, and testable models and pipelines in various domains using industry best practices which are aligned in close collaboration with the ML team in the US highlighting cross-functional collaboration. Job Posting Segment: Ad Platforms Job Posting Primary Business: AP - Engineering Primary Job Posting Category: Machine Learning Employment Type: Full time Primary City, State, Region, Postal Code: Seattle, WA, USA Alternate City, State, Region, Postal Code: USA - CA - 2450 Broadway Date Posted: 2026-06-03
Machine Learning Scientist III - Package Pricing ExpediaMachine Learning Scientist III - Package PricingSeattle, WashingtonAs a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership.
Software Engineer, Machine Learning Overland AISoftware Engineer, Machine LearningSeattle, WashingtonMS/PhD with publications in top-tier ML/CV venues (ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV), OR equivalent years of industry experience in an applied research setting working on multi-year problems. Expert in a relevant ML topic such as sequential prediction, structured prediction, inverse reinforcement learning, transformers, deep learning optimization, etc.