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.
Senior/Staff Software Engineer - Machine Learning & System Optimization ZooxSenior/Staff Software Engineer - Machine Learning & System OptimizationSeattle, WAOptimize large-scale models (Multi-Modal Sensor Fusion models, LLMs, VLMs) using advanced quantization (PTQ, QAT), pruning, mixed-precision inference frameworks, and parameter-efficient fine-tuning (LoRA, QLoRA). As a Machine Learning and System Optimization Engineer, you will orchestrate and allocate overall system capacity to various core perception models running on-bot, as well as drive large initiatives that allow for more efficient inference by sharing various parts of the perception stack with one another.
NewSoftware Engineer, AI/Machine Learning, PhD, Early Career, 2027 Start Google LLCSoftware Engineer, AI/Machine Learning, PhD, Early Career, 2027 StartKirkland, WANote: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Atlanta, GA, USA; Kirkland, WA, USA; Madison, WI, USA; Mountain View, CA, USA; New York, NY, USA; Raleigh, NC, USA; Durham, NC, USA; San Bruno, CA, USA; Seattle, WA, USA. Support building end-to-end ML Systems that involves working across the full stack, from low-level hardware acceleration and compiler optimizations to high-level model architecture and production APIs, transforming your research expertise into robust, scalable products.
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.
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.
NewMachine Learning Scientist III - Ads + Search & Recommendations WayfairMachine Learning Scientist III - Ads + Search & RecommendationsSeattle, WA$194,040–$206,167 / yearExperience 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. 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.
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.
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
NewGraduate Intern – Machine Learning Port of SeattleGraduate Intern – Machine LearningSeattle, WAAs a Machine Learning Intern within the Port of Seattle ICT Department, you’ll gain hands-on experience at one of the largest ports on the West Coast, supporting ML and AI-related prototypes and pilot projects for various operating divisions, including Aviation (SEA Airport), and Maritime (Fishermen’s Terminal, Marinas, Cruise Ship Terminals) divisions. You’ll work closely with an assigned mentor and collaborate with experienced engineers, assisting with the development of ML and AI prototypes that involve problem definition, model and dataset development, model training and evaluation, concluding with deployment and end-user feedback.
Machine Learning Research Scientist ElastixAIMachine Learning Research ScientistSeattle, WashingtonThis is a highly interdisciplinary role where you will collaborate closely with our multi-disciplinary team to ensure novel research ideas contribute to delivering optimal AI inference solutions at scale. You will be actively conducting high impact research on novel ML solutions towards the next generation of efficient intelligence platforms.
Sr. Developer Advocate, AI And Machine Learning DataBricksSr. Developer Advocate, AI And Machine LearningSeattle, WA$133,000–$186,100 / yearOur 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.
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.
NewAI Learning Systems Engineer Bright Vision TechnologiesAI Learning Systems EngineerSammamish, WARemote$100,000–$150,000 / yearJob Title: AI Learning Systems Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 Annually Experience Required: 6+ yearsSponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. The role requires deep familiarity with modern reinforcement learning algorithms, simulation environments, reward modeling, and the engineering complexity of training and evaluating policies at scale.
Senior Manager, Machine Learning Engineering MetropolisSenior 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 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.
Machine Learning Manager - Advertising Science WayfairMachine Learning Manager - Advertising ScienceSeattle, WAWorking closely with a high-performing team of ML scientists and engineers, you'll tackle some of Wayfair's most intellectually challenging problems in machine learning, latency, and scalability, while directly contributing to the company's bottom line. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques.
Senior Machine Learning Manager AtlassianSenior Machine Learning ManagerSeattle, Washington$209,700–$273,775 / yearYou should have a proven track record of building, mentoring, and scaling high-performing machine learning teams, with deep experience in organizational strategy, performance management, and developing engineering leaders. Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions.
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
Technical Program Manager II, Data Center Planning, Machine Learning GoogleTechnical Program Manager II, Data Center Planning, Machine LearningKirkland, WAThe Data Center Planning organization is responsible for identifying the most cost-efficient set of data centers to meet a 5-year forecast demand signal and for identifying and planning the Product Areas (PAs) who will occupy them. Codify, maintain, and update Google PAs’ technical and business requirements in partnership with Product Area Resource Managers (PARMs), and use them to influence execution and Google’s spend and capacity allocation decisions.
Senior Computer Vision and Machine Learning Research Scientist AxonSenior Computer Vision and Machine Learning Research ScientistSeattle, WA$159,750–$255,600 / yearAs a research scientist at Axon you will play a crucial role in developing AI solutions that transform both the enterprise and public safety domains and support our company's mission: accelerate justice, protect truth, and save lives. Lead end-to-end research efforts in advanced computer vision, machine learning and gen-AI techniques for cloud and devices from multimodal data sources, including scene understanding, action recognition and anomaly detection.