Sr Machine Learning Engineer The Walt Disney CompanySr Machine Learning EngineerSeattle, WashingtonDisney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally. 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: Date Posted: 2026-07-17
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.
Senior Principal Machine Learning Engineer, Ad Platforms The Walt Disney CompanySenior Principal Machine Learning Engineer, Ad PlatformsSeattle, WashingtonAs our team's Sr Principal Machine Learning Engineer (IC leadership role), you will apply your industry-tested experience, deep technical knowledge of software and systems including Machine Learning and AI patterns, platforms and infrastructure, and leadership skills to unblock and guide our ML and Research teams to create scalable, performant, maintainable, and testable models and pipelines. 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: 2026-05-13
Machine Learning Engineer ElastixAIMachine Learning EngineerSeattle, WashingtonYou will be responsible for designing and developing critical components, including ML model deployment, innovative model optimization pipelines, and performance benchmarking and simulation workflows. This is a highly interdisciplinary role where you'll collaborate closely with our multi-disciplinary team to ensure our entire stack works in harmony to deliver optimal AI inference solutions.
Machine Learning Engineer, Level 5 SnapchatMachine Learning Engineer, Level 5Seattle, WA$209,000–$313,000 / year5+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning 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.
Machine Learning Engineer, Level 4 SnapchatMachine Learning Engineer, Level 4Seattle, WA$173,000–$259,000 / yearThe 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. 3+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field.
Senior Staff Machine Learning Engineer Geico InsuranceSenior Staff Machine Learning EngineerSeattle, WA$150,000–$300,000 / 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. Responsibilities: 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.
Staff Machine Learning Engineer Geico InsuranceStaff Machine Learning EngineerSeattle, WA$130,000–$260,000 / yearYou bring a passion for providing hands-on guidance, ensuring architectural and technical excellence and best practices, serving as a source of thought leadership, and leading by example to solve complex, large-scale, cross-functional problems. Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, and designers to gather requirements, define project scope and prioritize feature development.
Staff Machine Learning Engineer, Credit Products (Square Financial Services) BlockStaff Machine Learning Engineer, Credit Products (Square Financial Services)Seattle, WashingtonMinimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years experience, with a focus on developing and deploying machine learning and statistical models in production environments. We are seeking a scientifically-minded contributor capable of delivering extraordinary individual leverage to expand our underwriting capabilities into previously untapped segments through pragmatic policy evolution and advanced modeling techniques.
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.
Sr. Machine Learning Engineer - AI ZoomSr. Machine Learning Engineer - AISeattle, WAMust have 3 years of experience in the following: 3 years of experience in design, development, and deployment of document understanding and processing pipelines; 3 years of experience in deploy, monitor, and maintain machine learning models (LLMs and agentic workflows) in a microservice environment using Docker, Kubernetes (AWS EKS), and internal platforms (ZCP); 3 years of experience in evaluating external data sources to enhance AI search/document understanding; 3 years of experience in developing performance metrics, monitoring systems, and optimizations for AI search pipelines to ensure scalability, efficiency, and low latency; 3 years of experience in design and maintaining data ingestion, preprocessing, and transformation pipelines for both structured and unstructured data, ensuring high data quality and reliability; 3 years of experience in architect and optimizing large-scale Machine Learning workflows to process structured and unstructured data for knowledge graphs and search services; 3 years of experience collaborating with cross-functional teams of engineers, product managers, and domain experts to define requirements and implement scalable, production-ready ML services; 3 years of experience optimizing knowledge graph algorithms for performance, scalability, and reliability. Conduct research on cutting-edge Machine Learning, NLP, and knowledge graph techniques, evaluating external data sources to enhance search and document understanding capabilities; Develop/maintain documentation, best practices, guidelines; Mentor junior engineers and contribute to team knowledge-sharing, best practices, and internal technical guidelines; Lead the design, development, and deployment of AI search pipelines, including document understanding and retrieval systems, using libraries such as Docling; Evaluate external data sources to enhance AI search/document understanding; Develop performance metrics, monitoring systems, and optimizations for AI search pipelines to ensure scalability, efficiency, and low latency; Develop and maintain AI-driven search and ranking algorithms for enterprise-scale information retrieval and RAG (Retrieval-Augmented Generation) systems; Design and maintain data ingestion, preprocessing, and transformation pipelines for both structured and unstructured data, ensuring high data quality and reliability.
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.
AI / Machine Learning Engineer Leaders and Decision-Makers for Workflow Management Tools - US Prolific Academic LtdAI / Machine Learning Engineer Leaders and Decision-Makers for Workflow Management Tools - USSeattle, WAWe are inviting experienced professionals in AI / Machine Learning Engineer leadership roles to participate in upcoming research projects focused on workflow management tools and development processes. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback.
Machine Learning Engineer Manager ZoomMachine Learning Engineer ManagerSeattle, WAMust have 5 years of experience in the following: 5 years of experience utilizing programming languages Python, C, C++, or CUDA; 5 years of experience building scalable software systems; 5 years of experience utilizing deep learning frameworks such as PyTorch and TensorFlow; 5 years of experience developing and deploying business application logic for handling requests and routing to deployed machine learning models such as LLMs, as well as, feature stores in DynamoDB, MongoDB, MySQL, and ElasticSearch; 5 years of experience leveraging authentication mechanisms such as Asymmetric JWT using a complex and securely designed key management system, such as AWS KMS and internally developed CSMS; 5 years of experience leveraging machine learning models, such as LLM prompts and agentic workflows, internally developed and third-party, and deploy them in a microservice environment powered by Docker and Kubernetes (AWS EKS), and an internal platform called ZCP, using languages such as Python and Java; 5 years of experience writing machine learning workflows operating on up to terabytes of data, deploy, and verify them on DataBricks using technologies like Spark and SQL. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
Machine Learning Data Engineer OutpostMachine Learning Data EngineerSeattle, WashingtonWe're a small, high-conviction team shipping real software that ends up in real yards, at real gates, moving real freight; and we're growing fast, with revenue set to grow 10X over the next 18 months. As the pipeline matures, expect to move from flagging issues to fixing them directly; building the labeling/preprocessing tooling, running retraining jobs, and owning fixes for the error patterns you find, not just reporting them.
Machine Learning Engineer - Agentic Retrieval ZoomMachine Learning Engineer - Agentic RetrievalSeattle, WAWe operate at the intersection of distributed systems, machine learning, and large language models - powering search and answer generation across meetings, chat, docs, and third-party enterprise applications through a layered API architecture (keyword search, natural language search, and agentic RAG-based answer generation). You will design and build the core retrieval and reasoning systems that power Zoom's AI Companion - enabling AI agents to search, reason over, and act on enterprise knowledge to deliver high- quality, trustworthy, and actionable answers at scale.
NewMachine Learning Research Engineer Bright Vision TechnologiesMachine Learning Research EngineerBellevue, WARemoteFull timeThe ideal candidate stays current with the rapidly evolving AI research landscape, can critically evaluate new techniques for real-world applicability, and is comfortable operating across the full lifecycle from problem framing and experimentation to deployment and continuous improvement. We are seeking an AI Research Engineer to bridge cutting-edge applied research and production engineering, designing and shipping advanced machine learning systems that solve high-impact business problems.
Senior Application Security Engineer, AI And Machine Learning Lightning AISenior Application Security Engineer, AI And Machine LearningSeattle, WA$180,000–$220,000 / yearYou will work closely with platform engineers, ML engineers, and infrastructure teams to identify risks, design secure architectures, and build security tooling that enables engineers to move quickly and safely. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.
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.