NewSenior Machine Learning Engineer (Ads Auction, Ads Bidding, Ads Reservation) Macpower Digital Assets Edge Private LimitedSenior Machine Learning Engineer (Ads Auction, Ads Bidding, Ads Reservation)Seattle, WA$194,000–$300,000 / yearThis team owns several ads products: reservation ads, auction ads, and innovative content ads that enables advertisers and users to foster more awareness of their brand to attain their business goals. We are looking for seasoned engineers that have strong problem-solving skills and algorithm understanding to build and manage systems with high performance, scalability, and availability.
Staff Machine Learning Engineer, Generative AI Modeling And Inference SnapchatStaff Machine Learning Engineer, Generative AI Modeling And InferenceBellevue, WA$229,000–$343,000 / yearOur team creates intuitive tools, platforms, and agentic systems that empower creators, developers, and internal teams to bring ideas to life, while advancing personalized, human-centric experiences across mobile, web, and wearable devices like Spectacles. 8+ years of post-Bachelor's machine learning or related experience; or a Master's degree in a technical field + 7+ years of post-grad ML or related experience; or a PhD in a related technical field + 4+ years of post-grad ML or related experience.
NewRobotics Machine Learning Engineer (Embodied AI) Team Red DogRobotics Machine Learning Engineer (Embodied AI)Redmond, WAPhD-level research, doctoral studies, or substantial research experience within a robotics lab will be particularly valuable, especially for candidates who have trained robotic models such as vision-language-action models, diffusion models, or reinforcement learning policies. You will help integrate new robotic platforms and simulation environments into a sophisticated learning framework, collect and prepare demonstrations for model training, and launch fine-tuning and evaluation runs across internal and external VLA models.
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.
Staff Machine Learning Engineer HiveStaff Machine Learning EngineerSeattle, WA$200,000–$300,000 / yearEverything involved in applying a ML model to a production use case, including designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.
Staff Machine Learning Engineer, Search Ranking SnapchatStaff Machine Learning Engineer, Search RankingBellevue, WA$229,000–$343,000 / year8+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 7+ year of post-grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience. Develop and improve ranking models using techniques such as learning-to-rank, deep retrieval, neural ranking, sequence models, embeddings, multi-task learning, calibrated prediction, and large-scale feature engineering.
Senior Machine Learning Engineer, Computer Vision MetropolisSenior Machine Learning Engineer, Computer VisionSeattle, WA$175,000–$215,000 / 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.
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 Robinhood Markets IncMachine Learning EngineerBellevue, WA$161,138–$200,000 / yearCross-Functional Collaboration: Work closely with other engineering teams, data scientists, and the marketing team to integrate machine learning models into the product and ensure they meet business requirements. Additionally, design reinforcement learning algorithms and apply multi-armed bandit strategies to optimize decision-making in dynamic environments, balancing exploration and exploitation.
Machine Learning Engineer, Level 4 SnapchatMachine Learning Engineer, Level 4Bellevue, 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 Machine Learning Engineer, Computer Vision Metropolis Technologies, Inc.Senior Machine Learning Engineer, Computer VisionSeattle, WA$150,000–$200,000 / 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.
Machine Learning Engineer HiveMachine Learning EngineerSeattle, WA$120,000–$180,000 / yearEverything involved in applying a ML model to a production use case, including, designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.
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
Applied Machine Learning Engineer IUNUApplied Machine Learning EngineerSeattle, WAApplied Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. We are seeking an Applied Machine Learning Engineer for our AI team to developing products for our clients and the greenhouse industry.
Staff Machine Learning Engineer - Seattle Haus AnalyticsStaff Machine Learning Engineer - SeattleSeattle, OregonWith support from PhD economists, data scientists, and growth experts, Haus’ AI-driven technology translates complex marketing measurement into clear action and outcomes, enabling brands like Dyson, Wayfair, Sonos, Fanduel, SharkNinja, and Intuit to optimize spend, accelerate growth, and make smarter marketing decisions at scale. Drive initiatives from concept to final product delivery, ensuring seamless end-to-end execution: lead or contribute to the design, development, optimization, and product ionization of machine learning (ML) solutions for complex and high-impact problems.
Staff Machine Learning Engineer - Seattle HausStaff Machine Learning Engineer - SeattleSeattle, WAWith support from PhD economists, data scientists, and growth experts, Haus' AI-driven technology translates complex marketing measurement into clear action and outcomes, enabling brands like Dyson, Wayfair, Sonos, Fanduel, SharkNinja, and Intuit to optimize spend, accelerate growth, and make smarter marketing decisions at scale. Drive initiatives from concept to final product delivery, ensuring seamless end-to-end execution: lead or contribute to the design, development, optimization, and product ionization of machine learning (ML) solutions for complex and high-impact problems.
Machine Learning Engineer RobinhoodMachine Learning EngineerBellevue, WA$161,138–$200,000 / yearCross-Functional Collaboration: Work closely with other engineering teams, data scientists, and the marketing team to integrate machine learning models into the product and ensure they meet business requirements. Additionally, design reinforcement learning algorithms and apply multi-armed bandit strategies to optimize decision-making in dynamic environments, balancing exploration and exploitation.
Marketing Data Scientist Puget Sound EnergyMarketing Data ScientistBellevue, WA$103,100–$181,300 / yearPSE's Communications Strategy team is looking for a Marketing Data Scientist to lead the development, measurement, and optimization of marketing, customer engagement, and communications performance through advanced analytics, data science, and business intelligence. The Marketing Data Scientist will need to partner cross-functionally with marketing, customer insights, analytics, regulatory, and external agencies to deliver actionable insights that improve engagement, enhance customer experience, and support corporate goals.
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.
NewMachine Learning Engineer Graduate (E-Commerce Knowledge Graph) - 2027 Start (PhD) TikTok IncMachine Learning Engineer Graduate (E-Commerce Knowledge Graph) - 2027 Start (PhD)Seattle, WACollaborate closely with our dedicated product managers, astute data scientists, and the strategic product & operation team to craft forward-thinking product strategies and features. Minimum Qualifications: Individuals who are completing or have recently completed a PhD degree in Software Development, Computer Science, Computer Engineering or a related discipline.