Machine Learning Research Engineer , Text Generation, Input Experience Apple IncMachine Learning Research Engineer , Text Generation, Input ExperienceSeattle, WAor Masters with 4 years of proven experience)Familiar with model compression algorithms including quantization, pruning, distillations, and experience optimizing large diffusion models or language models Experience with hardware architecture, software & hardware co-design Experience with deploying large ML models in real world products Actively programming with high-quality codes across complex and large repositories Familiar with common NLP algorithms and applications, including tokenization, language modeling, text decoding, text classifier etc Experience of multi-modal modeling, presenting plans, progress, and results or demos regularly and concisely. You will work with a hard-working and dedicated set of outstanding ML and software engineers on a wide range of most advanced text generation technologies such as context-augmented text rewriting, safety-controlled text composition, free-form text transformation, personalized smart interactions, etc.
Senior Machine Learning Engineer ADOBE IncSenior Machine Learning EngineerSeattle, WA$211,800–$306,625 / yearAdobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Embedded Machine Learning Engineer, Wireless Technologies & Ecosystems Apple IncEmbedded Machine Learning Engineer, Wireless Technologies & EcosystemsSeattle, WAAs an Embedded Machine Learning Engineer, youll deploy efficient, low-power ML models directly onto embedded hardware, driving advanced, on-device intelligent experiences for millions of users in robotics and intelligent systems. Proven ability to optimize and deploy ML models for resource-constrained edge devices using techniques like - quantization/pruning and frameworks (e.g., TensorFlow Lite, ONNX Runtime, Core ML).
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.
Principal Machine Learning Engineer Axon Enterprise IncPrincipal Machine Learning EngineerSeattle, WAThe 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 Machine Learning Engineer Axon Enterprise IncSenior Machine Learning EngineerSeattle, WA$150,750–$241,200 / yearWorking closely with other ML engineers and scientists, you will enable new AI capabilities for Axon's products (Fleet, Draft One, Axon Air, VR and more) by supporting the training, evaluation, testing and deployment of machine learning models on Axon devices and cloud. If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.
Machine Learning Research Engineer, App Store Search Apple IncMachine Learning Research Engineer, App Store SearchSeattle, WAD. in Computer Science or related subject area 4+ years of relevant industry experience in ML or data systems Experience in building search or conversational capabilities like query understanding, retrieval, ranking, or indexing Familiarity with big data pipelines using Scala, Python, or Apache Spark Exposure to distributed backend services, Kubernetes, or cloud infrastructure Experience with GoLang or gRPC services Familiarity with A/B experimentation and data-driven product development. The ASE Search team is a vital part of the Apple ecosystem, powering search for App Store, Apple Music, Apple TV, Podcasts, Books, iTunes and more, on a wide set of platforms such as iOS, macOS, tvOS, watchOS, Safari, 3rd party devices, and Windows.
Senior Machine Learning Engineer, User Signal & Ads News BreakSenior Machine Learning Engineer, User Signal & AdsBellevue, WA$185,000–$235,000 / yearYou will own significant pieces of the signal-to-model pipeline end to end: defining and building features at scale, developing models for user understanding - most importantly identity prediction - and then applying those predictions directly inside the ads targeting, bidding, and ranking models to drive measurable lift. Bridge modeling and serving: ensure features and model outputs are available online with the freshness and low latency required by high-QPS real-time bidding, working across feature stores, embedding stores, and serving infra.
Senior Machine Learning Engineer, User Signal & Ads NewsBreakSenior Machine Learning Engineer, User Signal & AdsBellevue, WA$185,000–$235,000 / yearYou will own significant pieces of the signal-to-model pipeline end to end: defining and building features at scale, developing models for user understanding - most importantly identity prediction - and then applying those predictions directly inside the ads targeting, bidding, and ranking models to drive measurable lift. Bridge modeling and serving: ensure features and model outputs are available online with the freshness and low latency required by high-QPS real-time bidding, working across feature stores, embedding stores, and serving infra.
Machine Learning Engineer Graduate (TikTok Trust and Safety) - 2027 Start TikTok IncMachine Learning Engineer Graduate (TikTok Trust and Safety) - 2027 StartSeattle, WAWork on state-of-the-art content understanding techniques including but not limited to unimodal/multimodal content classifiers, learning models, Reinforcement learning models, and Large Language Models. The algorithm team is responsible for developing state-of-the-art computer vision, NLP and multimodality models and algorithms to protect our platform and users from the content and behaviors that violate community guidelines and related regulations.
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.
Automation Applications Engineer Denali Advanced IntegrationAutomation Applications EngineerRedmond, WAWork Environment: This position is based in a professional office setting and regularly utilizes workplace technology, including computers, smartphones, multifunction printers, cloud-based filing systems, and collaboration tools. The employee regularly engages in verbal and written communication with colleagues and clients to address project-related inquiries and must be able to convey accurate information clearly and efficiently.
Staff Machine Learning Engineer, Programmatic Ads Pinterest IncStaff Machine Learning Engineer, Programmatic AdsSeattle, WA$222,716–$389,753 / yearWe're looking for a Staff ML engineer to develop core bidding and ranking systems that help us optimally buy and sell inventory across exchanges, driving strong ROI for advertisers and growing a critical revenue stream for Pinterest. This role will need to be in the office for in-person collaboration 3 times per quarter and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle.
Research Engineer AdobeResearch EngineerSeattle, Washington$146,300–$211,850 / yearThe Research Engineering & Design Lab within Adobe Research is looking for a Research Engineer with a passion for the unique challenges involved in the development of high-performance ML models, with a particular focus on optimizing the resource consumption of large-scale generative models, including for cloud and on-device deployment. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
AIML Engineer - Consultant Slalom IncAIML Engineer - ConsultantSeattle, WARemote$120,000–$145,000 / yearFrom strategy through delivery, our agile teams across 52 offices in 12 countries partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact. Develop LLM-powered applications using RAG, agents, prompt engineering, tool and function calling, workflow automation, and fine-tuning where appropriate.
AIML Engineer - Senior Consultant Slalom IncAIML Engineer - Senior ConsultantSeattle, WARemote$145,000–$175,000 / yearFrom strategy through delivery, our agile teams across 52 offices in 12 countries partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact. For this role, we are hiring at the following levels and targeted base pay salary ranges: The targeted base salary pay range for the Senior Consultant role is $145,000 to $175,000.
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.
Research Scientist/Engineer ADOBE IncResearch Scientist/EngineerSeattle, WA$146,300–$211,850 / yearAdobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Photoshop ART is seeking a Research Scientist to join our inpainting R&D team focused on making significant progress in image generation/restoration, low level vision, image editing with an eventual posture toward productization.
Senior/Staff Software Engineer - Machine Learning & System Optimization Zoox IncSenior/Staff Software Engineer - Machine Learning & System OptimizationSeattle, WA$226,000–$307,000 / 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.