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.
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
NewPrincipal Machine Learning Engineer AtlassianPrincipal Machine Learning EngineerSeattle, Washington$236,700–$309,025 / yearYou’ll remain deeply hands-on while setting direction across teams: driving advances in models, agents, and evaluation and turning them into measurable improvements for millions of active users. Architect and build production ML and evaluation systems that operate at scale, including datasets, simulations, automated judges, regression suites, experimentation platforms, and online quality signals.
AI / Machine Learning Engineer Leaders and Decision-Makers for Workflow Management Tools - US Prolific Academic LtdAI / Machine Learning Engineer Leaders and Decision-Makers for Workflow Management Tools - USSeattle, WAWe are inviting experienced professionals in AI / Machine Learning Engineer leadership roles to participate in upcoming research projects focused on workflow management tools and development processes. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback.
Engineering Manager: Product & Vendor Insights (Hybrid - Seattle, WA) NordstromEngineering Manager: Product & Vendor Insights (Hybrid - Seattle, WA)Seattle, WashingtonThe Engineering Manager for Product & Vendor Insights owns one of the most consequential data domains in Nordstrom's enterprise: the product information layer that powers merchandising decisions, personalization, pricing analytics, vendor partner programs, and large-scale selling events and campaigns. You will lead a team of approximately 8 engineers (a mix of full-time and contract), drive platform modernization initiatives including a transition to medallion architecture and manage a growing brand partner data program that delivers data feeds for an expanding portfolio of strategic partnerships.
Machine Learning Engineer Manager ZoomMachine Learning Engineer ManagerSeattle, WAMust have 5 years of experience in the following: 5 years of experience utilizing programming languages Python, C, C++, or CUDA; 5 years of experience building scalable software systems; 5 years of experience utilizing deep learning frameworks such as PyTorch and TensorFlow; 5 years of experience developing and deploying business application logic for handling requests and routing to deployed machine learning models such as LLMs, as well as, feature stores in DynamoDB, MongoDB, MySQL, and ElasticSearch; 5 years of experience leveraging authentication mechanisms such as Asymmetric JWT using a complex and securely designed key management system, such as AWS KMS and internally developed CSMS; 5 years of experience leveraging machine learning models, such as LLM prompts and agentic workflows, internally developed and third-party, and deploy them in a microservice environment powered by Docker and Kubernetes (AWS EKS), and an internal platform called ZCP, using languages such as Python and Java; 5 years of experience writing machine learning workflows operating on up to terabytes of data, deploy, and verify them on DataBricks using technologies like Spark and SQL. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
Research Engineer, RL Engineering AnthropicResearch Engineer, RL EngineeringSeattle, WAThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
NewSenior Deep Learning Engineering - Autonomous Vehicles NvidiaSenior Deep Learning Engineering - Autonomous VehiclesRedmond, WAWe are looking for hands-on experience training and deploying Large Language Models (LLMs) and Vision-Language Models (VLMs) in production environments. Ways to stand out from the crowd: Proven experience deploying LLMs or VLMs at scale in real-world applications using vLLM, SGLang.
Software Engineer, Research Tools AnthropicSoftware Engineer, Research ToolsSeattle, WAThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems.
Junior/Entry Level Software Engineer SynergisticITJunior/Entry Level Software 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. SynergisticIT JOPP is good for entry-level software engineering candidates because it helps address the key areas where applicants often fall short: current skills, hands-on projects, resume alignment, interview confidence, and job-search execution.
Lead AI Engineer ZSLead AI EngineerBellevue, WashingtonThis role focuses on building, optimizing, and evaluating production-grade LLM systems , including Retrieval-Augmented Generation (RAG) , fine-tuning workflows, and scalable inference pipelines. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all.
NewSenior Machine Learning engineer - Distribution & Supply ExpediaSenior Machine Learning engineer - Distribution & SupplySeattle, 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).
NewStaff + Sr. Software Engineer, Scaling AnthropicStaff + Sr. Software Engineer, ScalingSeattle, WAThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Applied Machine Learning Engineer IUNUApplied Machine Learning EngineerSeattle, WAApplied Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. We are seeking an Applied Machine Learning Engineer for our AI team to developing products for our clients and the greenhouse industry.
Staff Technical Solutions Consultant, GSRS Security Systems and Technology Google LLCStaff Technical Solutions Consultant, GSRS Security Systems and TechnologySeattle, WABy collaborating cross-functionally with end users, stakeholders, leadership, and peers, you will transform complex requirements into highly intuitive and impactful tools, utilizing metrics to demonstrate real-world performance and Return on Investment (ROI). Act as a primary technical authority for the division, proactively partnering with and influencing executive leadership, directors, and cross-functional stakeholders to navigate competing priorities and align on project directions without direct authority.
Software Developer, Scaled Ops AI Acceleration Team Meta Platforms IncSoftware Developer, Scaled Ops AI Acceleration TeamSeattle, WAAs a Software Developer, you will play a pivotal role in building and implementing innovative solutions using AI technologies, collaborating across functions, and managing the work of contractor and/or vendor workers to deliver measurable impact across Scaled Operations. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Staff Machine Learning Engineer, AI R&D RobinhoodStaff Machine Learning Engineer, AI R&DBellevue, WA$255,000–$300,000 / yearYou'll help define the team's technical direction, mentor engineers, and push the frontier of what's possible when you apply modern ML - including agentic workflows and LLM fine-tuning - to real financial data. Partner closely with product, data engineering, and platform teams to define technical strategy, scope complex projects, and drive execution across multiple workstreams simultaneously.
Site Strategy Manager, Data Center Sites - Remote (U.S.) AECOMSite Strategy Manager, Data Center Sites - Remote (U.S.)Seattle, WARemote$150,000–$220,000 / yearReqID:** J10151320 **Business Line:** B&P - Buildings & Places **Business Group:** DCS **Strategic Business Unit:** East **Career Area:** Program & Project Management **Work Location Model:** Hybrid **Compensation:** USD 150000 - USD 220000 - yearly We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.
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.
Staff Machine Learning Engineer, Generative AI Modeling And Inference SnapchatStaff Machine Learning Engineer, Generative AI Modeling And InferenceSeattle, WA$229,000–$343,000 / yearOur team creates intuitive tools, platforms, and agentic systems that empower creators, developers, and internal teams to bring ideas to life, while advancing personalized, human-centric experiences across mobile, web, and wearable devices like Spectacles. 8+ years of post-Bachelor's machine learning or related experience; or a Master's degree in a technical field + 7+ years of post-grad ML or related experience; or a PhD in a related technical field + 4+ years of post-grad ML or related experience.