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.
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.
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.
NewSenior Machine Learning System Engineer AtlassianSenior Machine Learning System EngineerSeattle, Washington$180,000–$235,000 / yearYou will own everything from distributed infrastructure (global KV cache, continuous batching, load balancing, auto-scaling) to deep low-level optimizations (GPU kernels, quantization, speculative decoding). Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones.
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.
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.
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.
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, WA$254,000–$350,000 / yearOptimize 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.
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.
Principal Machine Learning System Engineer AtlassianPrincipal Machine Learning System EngineerSeattle, Washington$209,700–$273,775 / yearInfluence peers, partner teams, and stakeholders by framing problems compellingly, co-authoring shared technical strategies, and creating forums — deep dives, design reviews, working groups — where the best ideas win on merit. Responsibilities: As a Principal Machine Learning Systems Engineer on the Search Platform team, you set the technical direction for search infrastructure that powers Rovo, Jira, Confluence, and the broader Atlassian AI platform.
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.
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 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.
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.
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.
Senior Machine Learning Engineer (Active Secret Clearance) StriveworksSenior Machine Learning Engineer (Active Secret Clearance)Tacoma, WA$185,000–$230,000 / yearSince 2018, we have delivered the most trusted AI systems operating in real-world use cases-providing a layer of assurance underneath hundreds of deployed models that monitors performance, manages drift, and sustains systems long after they leave the lab. Working directly with customers, data scientists, software engineers, and DevOps engineers, you'll define requirements and orchestrate complex data engineering pipelines.
Systems Engineer - Machine Learning General RoboticsSystems Engineer - Machine LearningRedmond, WashingtonWe are looking for strong candidates who have a background in ML infrastructure and model serving, with experience in areas like CUDA kernel programming; distributed serving frameworks; real-time streaming; and taking research models to production. Integrate and productionize state-of-the-art ML models into our serving infrastructure, collaborating with research teams to bring new architectures from prototype to deployment.