Machine Learning Engineer - Llms & Generative AI TruvetaMachine Learning Engineer - Llms & Generative AISeattle, WA$155,000–$175,000 / yearapply and refine state-of-the-art techniques such as supervised fine-tuning (SFT), reinforcement learning-based methods (e.g., RLHF, RLVR), parameter-efficient fine-tuning (PEFT), prompt tuning, and retrieval-augmented generation (RAG). We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people.
NewMachine Learning Engineer - LLMs & Generative AI TruvetaMachine Learning Engineer - LLMs & Generative AISeattle, WA$155,000–$175,000 / yearapply and refine state-of-the-art techniques such as supervised fine-tuning (SFT), reinforcement learning-based methods (e.g., RLHF, RLVR), parameter-efficient fine-tuning (PEFT), prompt tuning, and retrieval-augmented generation (RAG). We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people.
Senior/Staff Software Engineer - Machine Learning & System Optimization ZooxSenior/Staff Software Engineer - Machine Learning & System OptimizationSeattle, WAOptimize 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.
NewPrincipal Machine Learning Engineer - Search & Intelligence AtlassianPrincipal Machine Learning Engineer - Search & IntelligenceSeattle, Washington$236,700–$309,025 / yearAs a Principal Machine Learning Engineer, you will lead the development and implementation of cutting-edge machine learning algorithms and sophisticated models that power AI capabilities across Atlassian’s products and services. A track record of solving ambiguous and complex problems by navigating uncertainty, breaking challenges into manageable components, and developing innovative, practical solutions.
NewSenior Machine Learning Engineer - Growth AtlassianSenior Machine Learning Engineer - GrowthSeattle, Washington$206,100–$269,075 / yearYour work may include designing models and system architectures; building datasets, features, and evaluation frameworks; running offline policy evaluation and online experiments; monitoring attribution, latency, quality, and fairness; and iterating based on customer and outcomes. Growth builds intelligent, personalized experiences that help customers discover value, adopt more of Atlassian, and progress through the customer lifecycle, from awareness and activation to expansion, retention, and long-term value.
Sr. Developer Advocate, AI and Machine Learning Databricks IncSr. 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 Engineer Zoom Communications IncMachine 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.
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.
NewSenior Machine Learning (ML) Engineer TruvetaSenior Machine Learning (ML) EngineerSeattle, WA$175,000–$200,000 / yearWork fluently with embeddings and vector stores — experienced in building or integrating retrieval-augmented generation (RAG) pipelines, managing vector databases (e.g., FAISS, Pinecone, Chroma, Azure AI Search, or similar), and leveraging semantic search or context injection to enhance reasoning. We Are Seeking Senior ML Engineers Who: Design and reason with agentic AI frameworks — experienced in building multi-agent workflows using frameworks such as LangGraph, AutoGen, or CrewAI, integrating reasoning, planning, and memory to create intelligent, goal-driven systems.
Senior Machine Learning (Ml) Engineer TruvetaSenior Machine Learning (Ml) EngineerSeattle, WA$175,000–$200,000 / yearWork fluently with embeddings and vector stores - experienced in building or integrating retrieval-augmented generation (RAG) pipelines, managing vector databases (e.g., FAISS, Pinecone, Chroma, Azure AI Search, or similar), and leveraging semantic search or context injection to enhance reasoning. We Are Seeking Senior ML Engineers Who: Design and reason with agentic AI frameworks - experienced in building multi-agent workflows using frameworks such as LangGraph, AutoGen, or CrewAI, integrating reasoning, planning, and memory to create intelligent, goal-driven systems.
Sr Machine Learning Engineer The Walt Disney CompanySr Machine Learning EngineerSeattle, WashingtonDisney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally. 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: Date Posted: 2026-07-17
2027 Intern - Machine Learning Engineer ADOBE Inc2027 Intern - Machine Learning EngineerSeattle, WAAdobe'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. Depending on your team, you might be building LLM-powered applications, developing multimodal AI systems, designing evaluation frameworks, or deploying models that directly shape how customers experience Adobe's creative and marketing products.
Sr Machine Learning Engineer, Adobe Firefly Services ADOBE IncSr Machine Learning Engineer, Adobe Firefly ServicesSeattle, WA$183,300–$265,350 / 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. You will design and develop efficient inference pipelines, optimize models for latency and through at inference, and build APIs and ecosystems that integrate both Adobe's first-party and third-party generative models into Adobe suite of products that serve individual and enterprise customers.
Sr Staff Machine Learning Engineer, Adobe Firefly Services ADOBE IncSr Staff Machine Learning Engineer, Adobe Firefly ServicesSeattle, WA$238,700–$345,650 / 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. You will design and develop efficient inference pipelines, optimize models for latency and through at inference, and build APIs and ecosystems that integrate both Adobe's first-party and third-party generative models into Adobe suite of products that serve individual and enterprise customers.
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.
Sr Staff Machine Learning Engineer - Media Intelligence ADOBE IncSr Staff Machine Learning Engineer - Media IntelligenceSeattle, WA$238,700–$345,650 / yearWe are hiring a Senior Staff Machine Learning Engineer to architect and lead the data processing, indexing, and search infrastructure behind Firefly Foundry's media intelligence - the systems that turn massive volumes of customer media (image, video, 3D, audio) and model-derived signals (embeddings, captions, entities, shot and scene structure, aesthetic, safety, and IP labels) into structured, low-latency, searchable intelligence, and that expose it as agentic search: retrieval designed to be driven by AI agents, not only by people. Firefly Foundry is Adobe's enterprise managed-service offering for custom multimedia generative AI - deep-tuned image, video, and 3D models built on each customer's IP, paired with creative production workflows and a media-intelligence layer, and deployed across new and existing Adobe surfaces.
NewMachine Learning Engineering Technical Leader CiscoMachine Learning Engineering Technical LeaderSeattle, WashingtonThe applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $256,900.00 - $383,500.00 Non-Metro New York state & Washington state: $234,400.00 - $341,100.00 * 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. PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field and 5+ years of post-doctoral or industry experience; or a Master’s degree in a related field and 10+ years of industry experience.
Senior Machine Learning Engineer, Services/MLOps ADOBE IncSenior Machine Learning Engineer, Services/MLOpsSeattle, WA$183,300–$265,350 / yearYou will compose heterogeneous model pipelines including finetuned LLMs, image and video generation models, 3D mesh reconstruction, upsamplers, NSFW and safety checkers, and IP guardrail models - deploy them as services, scale those services to enterprise traffic, and hold them to SLAs for availability and latency, all while ensuring served quality matches the training and reference environment. Firefly Foundry is Adobe's enterprise managed-service offering for custom multimedia generative AI - deep-tuned image, video, and 3D models built on each customer's IP, paired with creative production workflows and a media-intelligence layer, and deployed across new and existing Adobe surfaces.
Staff Software Engineer, Machine Learning Platform Stripe IncStaff Software Engineer, Machine Learning PlatformSeattle, WADesign system architectures for the most challenging ML Platform problems in one or more areas, including AI and ML workflow orchestration, scalable CPU and GPU compute infrastructure, model training, LLM fine-tuning, low-latency model inference, large-scale feature stores, real-time monitoring, and LLM and agent orchestration. The ML Platform team builds the platforms and services that enable ML engineers and data scientists across Stripe to take data and build features and models from prototype to production-reliably, at low latency, and at scale.
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.