Mechanical Engineer, Structures Gravitics, IncMechanical Engineer, StructuresSeattle, WA$110,000–$140,000 / yearTo conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. We design and manufacture large-scale orbital structures that enable commercial operations while meeting the requirements of defense and government missions.
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.
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.
Senior Machine Learning Engineer ExpediaSenior Machine Learning EngineerSeattle, Washington$184,500–$258,000 / yearThe Distribution & Supply team builds and optimizes the machine learning–driven systems that power how our travel supply is connected, priced, and surfaced across Expedia Group’s global marketplace, ensuring partners can efficiently reach travelers with the right inventory at the right time. Familiarity with AI‑driven systems, tools, or workflows and applying AI/ML concepts to real world products, including designing and running experiments, using metrics and analytics to guide model iteration, and managing model lifecycle (retraining, versioning, and rollout strategies).
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.
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.
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 Geico InsuranceSenior Machine Learning EngineerSeattle, WA$115,000–$230,000 / yearYour passion for scalability, reliability, and usability of generative AI workflows and approaches will allow you to provide hands-on guidance, ensure architectural excellence, and lead by example to solve complex, large-scale, cross-functional problems. Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements, help define project scope and prioritize feature backlogs.
Staff Machine Learning Engineer RemitlyStaff Machine Learning EngineerSeattle, WashingtonExperience with one or more of Deep Learning algorithms, Large Language Models, Causal Inference, Personalization, Knowledge Graphs, Natural Language Processing would be desirable. We serve millions of customers sending billions of dollars each year across 170+ countries, and our work impacts communities on a truly global scale.
NewMachine 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.
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 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.
Consultant - Senior Power Platform Security Engineer Kalles GroupConsultant - Senior Power Platform Security EngineerSeattle, WARemote$100,000–$125,000 / yearYou will help design and implement governance controls, automate remediation activities, improve operational efficiency, and drive security outcomes across a large-scale low-code/no-code ecosystem. We are seeking a Senior Power Platform Security Engineer to support a Fortune 100 organization in strengthening governance, security, and operational maturity across its enterprise Power Platform environment.
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.
Senior Machine Learning Engineer, Sponsored Ads ChewySenior Machine Learning Engineer, Sponsored AdsBellevue, Washington$148,500–$225,000 / yearDirectly influence and collaborate with Product and Engineering leaders to evolve solutions using applied science to improve selection, ranking, relevance, deal-offerings, click through prediction models, dynamic bidding, and auction algorithms for Chewy onsite and offsite advertising solutions. An advanced degree (M.S., PhD, or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Data Science or related field or proven experience for atleast 3 years designing optimization and machine learning solutions for large scale applications.
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.
Staff Machine Learning Engineer (Modeling), Support BlockStaff Machine Learning Engineer (Modeling), SupportSeattle, WashingtonZone A: $276,800—$415,200 USD Zone B: $276,800—$415,200 USD Zone C: $276,800—$415,200 USD Zone D: $276,800—$415,200 USD Demonstrated leadership capabilities, with the ability to influence and align cross-functional teams while directly shaping the work of peers through communication, context sharing, and technical guidance.
Staff Machine Learning Engineer, AI Agent Platform Geico InsuranceStaff Machine Learning Engineer, AI Agent PlatformSeattle, WA$115,000–$260,000 / yearBuild and optimize context engineering systems - memory hierarchies (short-term, working, long-term), RAG pipelines, scratchpads, context compaction/summarization, and dynamic skill/tool loading - ensuring AI agents receive the right information at the right time while minimizing token waste. Architect scalable multi-tenant backend systems for AI agent workflows - including AI agent configuration, evaluation, synthetic data generation, workflow simulation & evaluation, MCP server registry, A2A communication infrastructure, and guardrail enforcement layers using AKS, FastAPI, etc.
Senior Perception Engineer AIMSenior Perception EngineerSeattle, WashingtonThis involves breaking new ground as earth moving machines don’t merely navigate on existing mapped roads – they modify and build the environment as they work which poses interesting novel challenges. You enjoy working across the full perception stack - from sensor data ingestion and calibration, through model development and training, to deployment on edge compute and real-time inference pipelines.
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.