NewSenior Machine Learning System Engineer - Agentic Search & Intelligence AtlassianSenior Machine Learning System Engineer - Agentic Search & IntelligenceSeattle, Washington$206,100–$269,075 / yearAI agents need to understand what a user is trying to accomplish, decide where and how to search, reason across multiple sources, select the right tools and procedures, identify missing information, and assemble trustworthy context before taking action. Depending on your interests and expertise, you may work across areas such as: Agentic Search — Build systems that plan, decompose, reformulate, and iteratively execute searches across multiple steps and data sources.
Sr. Developer Advocate, AI and Machine Learning DatabricksSr. Developer Advocate, AI and Machine LearningSeattle, WashingtonOur goal is to drive awareness and adoption of the Databricks Data + AI Platform — including Lakeflow, Lakebase, Genie Agents, and AI/BI — alongside the open source projects that underpin it, such as Apache Spark, Delta Lake, Unity Catalog, MLflow, Apache Iceberg, and Omnigent. San Francisco and the wider Bay Area are the densest concentration of AI practitioners in the world, and we want Databricks to be present and useful in that community — at meetups, hack nights, demo nights, founder dinners, and the hallway conversations around them.
Senior Machine Learning System Engineer AtlassianSenior Machine Learning System EngineerSeattle, Washington$180,000–$235,000 / yearResponsibilities: As a senior Machine Learning Systems Engineer on the Search Platform team, you will own and drive the design, development, and production deployment of machine learning systems that power search experiences across Atlassian's product suite, including Jira, Confluence, and Rovo. Design retrieval systems purpose-built for agentic and RAG (Retrieval-Augmented Generation) use cases, including personalized indexes, grounding pipelines, and multi-step retrieval workflows.
Principal Machine Learning Engineer AtlassianPrincipal Machine Learning EngineerSeattle, Washington$236,700–$309,025 / yearYou’ll remain deeply hands-on while setting direction across teams: driving advances in models, agents, and evaluation and turning them into measurable improvements for millions of active users. Architect and build production ML and evaluation systems that operate at scale, including datasets, simulations, automated judges, regression suites, experimentation platforms, and online quality signals.
Staff Machine Learning Engineer - ML Frameworks ADOBE IncStaff Machine Learning Engineer - ML FrameworksSeattle, WA$211,800–$306,625 / yearAdobe'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. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Machine Learning Engineer - Remote YO AI LabsMachine Learning Engineer - RemoteSeattle, WARemoteWe are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization .
Staff Machine Learning Engineer, AI Agent Platform GEICO GENERAL INSURANCE COMPANYStaff 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 AI / Machine Learning Engineer - Fraud Detection ADOBE IncSenior AI / Machine Learning Engineer - Fraud DetectionSeattle, WA$183,300–$265,350 / yearAdobe'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. In California, the pay range for this position is $183,300 - $265,350 In New York, the pay range for this position is $183,300 - $265,350 In Illinois, the pay range for this position is $156,300 - $226,350 In Washington, the pay range for this position is $165,600 - $239,725.
NewSenior Principal Machine Learning Systems Engineer, Search Platform AtlassianSenior Principal Machine Learning Systems Engineer, Search PlatformSeattle, Washington$272,700–$356,025 / yearOur mission is to make all our customers' knowledge across Atlassian and their external apps (i.e. third-party applications) searchable securely and reliably through an insanely fast, globally scalable, cost-efficient, enterprise grade search infrastructure. As the technical lead for Search Serving, you will set its long-term technical direction and be accountable for its contribution to end-to-end search quality, tail latency, reliability, scalability, operability, and cost.
Staff Data Engineer, Individual Contributor | Data & Machine Learning MedBridge IncStaff Data Engineer, Individual Contributor | Data & Machine LearningWashington, WA$180,000–$200,000 / yearBuild and operate reliable data pipelines and integrations using strong Python and SQL engineering practices, covering ingestion, incremental processing, schema evolution, failure handling, retries, reconciliation, observability, and recovery across key operational and SaaS data sources. Enable secure and reliable data delivery and consumption, creating reusable patterns and interfaces that move data from Snowflake into applications, APIs, analytics, ML/AI workloads, and customer-facing products while making data easier to discover, understand, access, and trust.
NewManager II, Machine Learning – Conversion Visibility PinterestManager II, Machine Learning – Conversion VisibilitySeattle, WAAs a Machine Learning Engineering Manager on this team, you will lead a hybrid team of ML engineers and backend software engineers to build end-to-end identity and conversion visibility solutions across modeling, serving, and data infrastructure, so advertisers retain accurate, privacy-aware performance visibility as signals fragment and degrade. Collaborate closely with Ads Ranking & Bidding, Measurement Products, and Conversion Ingestion & Attribution teams to define interfaces, SLAs, and success metrics that enable end-to-end identity and conversion visibility systems—including models, data pipelines, and serving surfaces—to integrate cleanly into the broader ads ecosystem.
Principal Software Engineer, Machine Learning Infrastructure SnapchatPrincipal Software Engineer, Machine Learning InfrastructureSeattle, WA$276,000–$414,000 / year10+ years of post-Bachelor's software development experience; or a Master's degree in a technical field + 9+ year of post-grad software development experience; or a PhD in a related technical field + 6+ years of post-grad software development experience. The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.
Manager, Machine Learning Engineering - Ad Platforms The Walt Disney CompanyManager, Machine Learning Engineering - 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 - 2500 Broadway Street Date Posted: 2026-06-03
Engineer AI and Machine Learning Tata Consultancy Services LtdEngineer AI and Machine LearningSeattle, WA$64,000–$120,000 / yearAzure AI Search Practical experience with Semantic Kernel, AI Foundry, Lang Chain, LlamaIndex, or similar frameworks, Azure Services Experience working with LLMs (Azure OpenAI, OpenAI, Anthropic, or equivalent) Strong understanding of REST APIs, microservices, and cloud-native architectures Experience in developing secure, scalable APIs and services to support AI-driven applications Ensure best practices around security, data privacy, observability, and cost optimization Experience in building multi-agent and tool-using workflows using Semantic Kernel, AI Foundry, or similar orchestration frameworks Collaborate with product, data science, and platform teams to translate business requirements into AI solutions Experience deploying applications on cloud platforms (Azure preferred) Familiarity with CI/CD, containerization (Docker), and orchestration (Kubernetes is a plus) Generic Managerial Skills LLMs (Azure OpenAI; OpenAI; Anthropic; Microservices; Azure DevOps; Docker; Kubernetes TCS Employee Benefits Summary: Discretionary Annual Incentive. Must Have Technical/Functional Skills AI; C#; ASP.NET 4.5; Java; LLM; Python; Vector; Semantic Kernel; AI Foundry Roles & Responsibilities 8+ years of Strong proficiency in Python, C#, or Java Hands-on experience in building RAG-based systems and implement RAG pipelines using embeddings, vector search, and LLMs Solid experience with Vector Databases and embedding-based search e.g.
Principal Machine Learning Engineer ADOBE IncPrincipal Machine Learning EngineerSeattle, WA$261,800–$379,100 / yearFirefly Foundry is Adobe's enterprise managed-service offering for custom multimedia generative AI - deep-tuned image, video, and 3D models built on each customer's IP, paired with creative production workflows and a media-intelligence layer, and deployed across new and existing Adobe surfaces and products, including Firefly, Photoshop, Illustrator, Express, Stock, and Premiere. 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.
Staff Machine Learning Engineer GEICO GENERAL INSURANCE COMPANYStaff Machine Learning EngineerSeattle, WA$130,000–$260,000 / yearCross-functional collaboration: Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements, define project scope and prioritize feature backlogs. This person will play key technical leadership roles for the development of Geico's virtual agent platform that elevates the productivity and quality of service for 20K+ contact center employees in claims, service and sales operations, etc.
Senior Staff Machine Learning Engineer GEICO GENERAL INSURANCE COMPANYSenior Staff Machine Learning EngineerSeattle, WA$150,000–$300,000 / yearResponsibilities: Technical Design & Architecture: Own design, architecture and development of multiple inter-connected high-performance, durable and scalable platform components that collectively power large sets of end-to-end GenAI agentic workflows. Cross-functional collaboration: Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements, define project scope and prioritize feature backlogs.
NewSenior Machine Learning Engineer AtlassianSenior Machine Learning EngineerSeattle, Washington$206,100–$269,075 / yearPlease visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A : $206,100 - $269,075.
Machine Learning Engineer Opendoor Technologies Inc.Machine Learning EngineerSeattle, WAYou write clear design docs, give useful code reviews, push back on bad ideas without making it personal, and can land a technical tradeoff with a non-technical stakeholder. Wherever you land, you'll be doing one of three things: Building models in business-critical contexts like pricing, risk, repairs, and decision optimization.
Machine Learning Engineer Opendoor Technologies IncMachine Learning EngineerSeattle, WAYou write clear design docs, give useful code reviews, push back on bad ideas without making it personal, and can land a technical tradeoff with a non-technical stakeholder. Wherever you land, you'll be doing one of three things: Building models in business-critical contexts like pricing, risk, repairs, and decision optimization.