NewTechnical Sales Lead - Engineering Background LokaTechnical Sales Lead - Engineering BackgroundSeattle, WARemote$150,000–$200,000 / yearYour engineering and/or cloud account management experience is more important than your sales record: The former builds the kind of knowledge you’ll need to hit the ground running; the latter you’ll earn along the way. Someone who loves the rush of helping businesses succeed by advising the most appropriate technical solutions and derives genuine joy from diagnosing cloud architecture challenges.
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, Diffusion, Generative Modeling And Inference SnapchatStaff Machine Learning Engineer, Diffusion, Generative Modeling And InferenceSeattle, 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.
Sr. Machine Learning Engineer - AI Zoom Communications IncSr. 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, Search Ranking SnapchatStaff Machine Learning Engineer, Search RankingSeattle, 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.
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.
Manager, Machine Learning Engineering, Web Ads Ranking SnapchatManager, Machine Learning Engineering, Web Ads RankingBellevue, WA$229,000–$343,000 / yearBuild the evaluation framework that enables rapid iteration and high-quality decision-making, working closely with Data Science and Product partners to define success metrics and measure outcomes. 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 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.
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.
Machine Learning Engineer Manager Zoom Communications IncMachine 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.
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.
Machine Learning Scientist III - Ads + Search & Recommendations Wayfair LLCMachine Learning Scientist III - Ads + Search & RecommendationsSeattle, WA$194,040–$206,167 / yearHere are some of the key projects our team works on: Candidate Generation/Retrieval: Selecting the right subset of products for our final scoring layers from our entire catalog efficiently through deep understanding of our product catalog and our customers at extreme scale using low latency situations across multiple types of Candidate Generators and Retrieval stages. Experience deploying machine learning models in production environments, with a focus on cloud-based solutions such as GCP (BigQuery, GCS, Vertex AI, Composer), as well as workflow orchestration tools like Airflow, model tracking using MLflow, and containerization technologies like Docker.
Machine Learning Engineer, Causal Inference, Level 5 SnapchatMachine Learning Engineer, Causal Inference, Level 5Bellevue, WA$209,000–$313,000 / year5+ years of post-Bachelor's experience in machine learning, with hands-on experience in causal inference or experimentation; or Master's degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 2 years of post-grad machine learning experience. Knowledge, Skills & Abilities: Strong understanding of causal inference and modern approaches to estimating treatment effects (e.g., meta learners, propensity score matching, instrumental variables).
Machine Learning Manager - Advertising Science Wayfair LLCMachine Learning Manager - Advertising ScienceSeattle, WADesign, build, deploy and refine extensible, reusable, large-scale, and real-world platforms that improve supplier experience, ROAS, and spend on Wayfairs Sponsored Products. Were a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success.
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.
Lead Machine Learning Engineer The Walt Disney CoLead Machine Learning EngineerSeattle, WA$187,900–$252,000 / yearDisney 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. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
NewMachine Learning Engineer-01024948 Weyerhaeuser CoMachine Learning Engineer-01024948Seattle, WAPrimary Responsibilities Operationalize Machine Learning Models: Develop and maintain MLOps pipelines that support model training, validation, deployment, and retraining across AI use cases, with guidance from senior engineers and architects. As we continue to scale AI across the enterprise, we are seeking a Machine Learning Engineer to help operationalize machine learning solutions and support reliable, scalable, secure delivery of measurable business value in production.
Senior Machine Learning Engineer ADOBE IncSenior Machine Learning EngineerSeattle, 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.
NewSenior Machine Learning Engineer, Search & Intelligence AtlassianSenior Machine Learning Engineer, Search & IntelligenceSeattle, Washington$206,100–$269,075 / yearAs a Senior Machine Learning Engineer, you will lead the development and productionization of advanced machine learning systems that improve how people discover, understand, and act on knowledge across Atlassian. Build and improve machine learning solutions across areas such as information retrieval, search ranking, personalization, natural language processing, deep learning, and large language model applications.
Lead Machine Learning Engineering, (Hybrid) CiscoLead Machine Learning Engineering, (Hybrid)Seattle, WashingtonThe applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $216,300.00 - $322,900.00 Non-Metro New York state & Washington state: $197,500.00 - $287,300.00 * For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Bachelor’s degree in a STEM field with 8+ years of relevant experience, OR Master’s degree in a STEM field with 6+ years of relevant experience, OR PhD in STEM or a relevant technical field with 3+ years of industry or academic research experience.