Senior Machine Learning Engineer, Computer Vision Metropolis Technologies, Inc.Senior Machine Learning Engineer, Computer VisionSeattle, WA$150,000–$200,000 / 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.
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.
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, 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/Scientist- Identity & Trust RemitlySenior Machine Learning Engineer/Scientist- Identity & TrustSeattle, WashingtonAdvance our modeling capabilities with techniques suited to adversarial domains (e.g., graph-based methods for fraud rings, sequence models for behavioral patterns, and semi-supervised or anomaly detection approaches for novel attacks). You will frame ambiguous fraud problems as testable hypotheses, advance our modeling techniques beyond established baselines, and carry your ideas from experimentation through to reliable production systems.
AI & Machine Learning Engineer SynergisticITAI & Machine Learning EngineerSeattle, WA$95,000–$154,000 / yearSince 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.
Senior Machine Learning Engineer AmperitySenior Machine Learning EngineerSeattle, WA$185,600–$255,000 / yearOur AI-powered Customer Data Cloud, built on multi-patented technology, enables more than 400 global brands , including Alaska Airlines, Wyndham Hotels & Resorts, and DICK’S Sporting Goods, to turn customer data into a competitive advantage. With offices in Seattle, New York City, London, and Melbourne, you’ll join a fast-growing team tackling critical challenges at the intersection of AI, data, and customer experience.
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.
Senior Machine Learning Engineer FieldAISenior Machine Learning EngineerSeattle, Washington$180,000–$215,000 / yearWe bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
Senior Machine Learning Engineer ExpediaSenior Machine Learning EngineerSeattle, WashingtonThe 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).
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.
Junior AI & Machine Learning Engineer/Java/MERN Developer SynergisticITJunior AI & Machine Learning Engineer/Java/MERN DeveloperSeattle, WA$90,000–$154,000 / yearThey're filtered by ATS systems, keyword screening, and recruiters looking for job-ready signals—specific stacks, strong project depth, relevant certifications, and clear experience narratives. Since 2010 , SynergisticIT has helped candidates land full-time roles at organizations such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Client , and hundreds more.
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.
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.
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.
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.
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.
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.