DevOps Engineer III Pinnacle Technical ResourcesDevOps Engineer IIISeattle,, WashingtonRemote$80–$85 / hourContractorCritical objectives within the team are related to each and every service: high uptime/zero downtime (availability), efficiently scaled (up to 1000 requests per second) and performance (sub-second latency) for our customers. The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.
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.
Machine Learning Engineer StackAdaptMachine Learning EngineerSeattle, WARemote$140,000–$192,500 / yearFactors Influencing Final Compensation: The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications. You'll be working directly with our Applied Machine Learning Scientists, Machine Learning Engineers, Engineering teams, and our CTO/Co-Founder on building pipelines and ad optimization models.
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.
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.
Staff Machine Learning Engineer ScowttStaff Machine Learning EngineerKirkland, CaliforniaRemotePredictive Modeling at Scale: Build and deploy advanced sequence models and transformer-driven architectures for lead scoring, conversion prediction, and conversion value forecasting — models that actually move the ROAS needle. Fine-tune and specialize LLMs to power our AI Sales Agents that optimizes business outcome - reasoning, persona alignment and conversion alignment over longer time horizon with seamless CRM integration.
Machine Learning Engineer I ScowttMachine Learning Engineer IKirkland, CaliforniaRemoteIn this role, you will contribute to the development, training and deployment of high-quality ML models to power our Marketing AI and AI Sales Agent. This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. For more information, please visit www.e-verify.gov.
Machine Learning Engineer III ChewyMachine Learning Engineer IIIBellevue, 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 at least 3 years crafting optimization and machine learning solutions for large scale applications.
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.
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.
NewMachine Learning Engineer, New Grad Unity Software IncMachine Learning Engineer, New GradBellevue, WA$117,000–$152,000 / yearWhile specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Principal Machine Learning Engineer AxonPrincipal Machine Learning EngineerSeattle, WA$177,000–$283,200 / yearThe ideal candidate will have a consistent track record of successfully optimizing models for the edge and deploying AI models at the edge, including on device with limited memory & connectivity, to serve users world wide. As a Principal ML Engineer at Dedrone, you will contribute to architecting and implementing the platform used by Dedrone scientists to bring safe, secure, reliable AI features to the field of counter UAS devices.
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.
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 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, 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, Sponsored Ads ChewySenior Machine Learning Engineer, Sponsored AdsBellevue, WashingtonDirectly 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.
Senior Machine Learning Engineer AxonSenior Machine Learning EngineerSeattle, WA$150,750–$241,200 / yearYou'll work alongside talented ML engineers and scientists to bring new AI capabilities to products such as Fleet, Draft One, Axon Air, VR, and more —supporting the training, evaluation, testing, and deployment of machine learning models across Axon devices and the cloud. Partner with scientists, engineers, and product managers to rapidly prototype new ideas, build proof-of-concepts, and help determine which technologies can become the next generation of Axon AI experiences.
Senior Machine Learning engineer - Distribution & Supply Expedia Group IncSenior Machine Learning engineer - Distribution & SupplySeattle, WA$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. Proven experience working with service‑oriented or microservice architectures to integrate ML capabilities into production systems, including building and consuming APIs, working with large‑scale data pipelines, and ensuring reliability, scalability, and security of ML‑backed services.