Software Engineer- AI/ML, Amazon Neuron Training Amazon.com IncSoftware Engineer- AI/ML, Amazon Neuron TrainingSeattle, WAYou will work across PyTorch and Neuron solftware stack with amazing Neuron compiler and runtime teams to enable and tune large-scale training workloads on the latest Trainium instances You will own the parallelism strategies these models depend on, spanning data, tensor, pipeline, expert, and context parallelism, and apply reduced-precision formats where they measurably pay off. The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on AWS Trainium, Amazon"s custom machine learning accelerator.
Head of Field Engineering OumiHead of Field EngineeringBellevue, WashingtonRemoteLeadership experience (preferred, not required): You have 2+ years of experience leading teams or managing senior individual contributors in customer-facing technical organizations such as sales engineering, solutions architecture, applied AI, forward-deployed engineering, or field engineering. Total experience: You have 5+ years of experience across applied machine learning, machine learning infrastructure, solutions engineering, sales engineering, forward-deployed engineering, field engineering, or related customer-facing technical roles.
Director of Engineering -Exchange Extreme Networks IncDirector of Engineering -ExchangeSeattle, WA$175,000–$260,000 / yearProvide visionary technical and organisational leadership for teams building next-generation AI agent platforms, tool ecosystems, and cloud-native services, including agent orchestration, tool invocation, skill discovery, workflow execution, context management, and governance. Experience with cloud platforms and modern infrastructure technologies such as AWS, Azure, GCP, Kubernetes, Docker, Kafka, SQL/NoSQL databases, search systems, vector databases, graph databases, or event streaming platforms.
Principal Product Manager Microsoft CorpPrincipal Product ManagerRedmond, WA$142,800–$274,800 / yearThere is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. You will partner closely with engineering and applied science teams to define product direction, prioritize investments, and measure impact through customer outcomes and quality metrics.
Software Engineer II, Data Intelligence Microsoft CorpSoftware Engineer II, Data IntelligenceRedmond, WA$102,100–$202,200 / yearThere is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800 - $219,200 per year. Partnering with senior engineers and data scientists, you will help apply machine learning models for applications such as anomaly detection and classification and contribute to Generative AI solutions built on Azure OpenAI and the M365 platform.
Staff Software Engineer, TPU Performance Google LLCStaff Software Engineer, TPU PerformanceKirkland, WACollaborate with Google product teams and researchers to solve performance problems, such as onboarding new Machine Learning models and products onto new Tensor Processing Unit hardware to enable larger models to train efficiently at a very large scale. We"re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
Senior Software Engineer, SageMaker AI Studio Amazon.com IncSenior Software Engineer, SageMaker AI StudioBellevue, WASageMaker AI Studio is the industry-leading integrated development environment (IDE) for machine learning and generative AI, empowering millions of developers and data scientists to build, train, and deploy models at scale. Mentorship & Bar Raising - Mentor engineers across levels, conduct design and code reviews, and actively raise the technical and operational bar for the team.
Data Science Director (IC) Meta Platforms IncData Science Director (IC)Bellevue, WACollaborate with Engineering, Product, and cross-functional teams to inform, influence, support, and execute strategy and investment decisions for the Ads AI space Contribute to the long-term technical vision and strategy for analytics methods and metrics to enhance the quality and efficiency of Ads AI at scale Work with engineering and other data scientists to build and improve AI development, automation, experimentation, and measurement methods and metrics, ensuring high-quality throughput and impact Develop an understanding of complex, large-scale AI development, experimentation, and measurement systems, as well as broader industry challenges, to identify current and future risks and opportunities Inspire and lead a team of data scientists and managers across multiple teams in close collaboration with other Data Science Directors and ManagersBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 10+ years of experience in analytics and data science, leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance Experience framing and communication skills Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Masters or Ph. D. Degree in a quantitative field Experience with predictive modeling, machine learning, and experimentation/causal inference methods Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesMeta builds technologies that help people connect, find communities, and grow businesses.
Business & Marketing Data Science Manager Google LLCBusiness & Marketing Data Science ManagerSeattle, WAPosition requires 9 years of experience in the following: Application of quantitative methods to unstructured business challenges and complex, multi-dimensional datasets; Development of statistical algorithms or optimization models and methods; Establishment of data engineering pipelines or dashboarding for data visualization; Leading the strategic interpretation and presentation of complex statistical and machine learning outputs to senior business stakeholders, translating results into actionable insights to optimize global marketing spend and operational strategy; and Providing technical leadership and architectural oversight to a team of data scientists on the development, validation, and deployment of production-ready predictive models, including mentoring the team on best practices for coding, model versioning, and cloud-based ML platforms. Minimum qualifications: Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Business Administration (MBA), Quantitative Marketing or a related field and 11 years of progressive post-baccalaureate experience in the job offered or in a Business Scientist-related occupation.
Technical Program Manager, Signal Growth Meta Platforms IncTechnical Program Manager, Signal GrowthBellevue, WAResponsible for building, managing, and setting direction for teams as a whole as well as for individual team members' success You will be responsible for identifying and solving systemic, organizational-wide problems, influencing, and building strong relationships. As a TPM on the Signal Growth team at Meta, you'll be at the forefront of shaping the future of advertising - providing the technical and organizational leadership to drive large-scale, cross-functional programs from strategy to shipped-at-scale.
Engineering Director, Spatial Flex Google LLCEngineering Director, Spatial FlexKirkland, WATeams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
Customer Engineer III, AI Infrastructure, Google Cloud Google LLCCustomer Engineer III, AI Infrastructure, Google CloudSeattle, WABe a trusted advisor to our customers, helping them understand and incorporate AI accelerators into their overall cloud strategy by recommending migration paths, integration strategies, and application architecture that incorporate Google Cloud AI optimized infrastructure. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative.
Senior Applied Scientist, AWS Security Amazon.com IncSenior Applied Scientist, AWS SecuritySeattle, WATeams within Amazon Active Defense consist of security engineers, data/applied scientists, and software developers, all working together to launch big data analytics able to automatically detect and mitigate threats within AWS in near-real-time. As a Senior Applied Scientist on our team, you'll analyze data using GenAI and other AI/ML techniques to build new services that detect and automate the mitigation of cybersecurity threats across Amazon's infrastructure, including advanced persistent threats.
NewResearch Scientist II Chewy IncResearch Scientist IIBellevue, WA$125,500–$190,000 / yearYour Opportunity; As a Research Scientist on the Outbound Science & Technology team, you will design, develop, and deploy advanced optimization, simulation, and machine learning models that power Chewy's outbound network. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.
ML Engineer Prime Team Partners IncML EngineerSeattle, WA$190,000–$230,000 / yearIf you enjoy working at the intersection of ML, systems, and performance engineering - and want to shape core infrastructure from the ground up - this role offers real impact. Our client, a fast‑growing early‑stage team, is looking for a Machine Learning Engineer to help build a next‑generation AI inference platform.
NewResearch Scientist - TikTok E-Commerce Recommendation Foundation TikTok IncResearch Scientist - TikTok E-Commerce Recommendation FoundationSeattle, WAApply LLM technologies across retrieval, ranking, and re-ranking stages; participate in model training, inference optimization, and system co-design. Minimum Qualifications: MS/PhD in Computer Science, related technical field or equivalent industrial research experience.
Senior Field ML Engineer OumiSenior Field ML EngineerBellevue, WashingtonRemoteDrive success with customers: Partner with customers through the pre-sales and post-sales lifecycle - from technical demos and proof-of-concept design to hands-on training and deploying models. Development Skills: You are proficient in Python with a strong understanding of AI/LLM best practices including practical experience with model training frameworks and using LLMs in production environments for modern use cases (e.g.
Senior Software Engineer, ML Platform Xaira TherapeuticsSenior Software Engineer, ML PlatformSeattle, Washington$189,000–$245,000 / yearOur ideal candidate has an opinion about slurm or kubernetes for model training, cares about maximizing bandwidth from the storage subsystems to the GPU, and can build the API paved path for submitting training jobs that are able to dispatch to multiple clusters. The base pay range for this position is expected to be $189,000 - $245,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.
Sr. Applied Scientist - Computer Vision, Amazon Robotics Amazon.com IncSr. Applied Scientist - Computer Vision, Amazon RoboticsSeattle, WAWe are seeking an passionate, hands-on, seasoned Senior Applied Scientist who will be deep in code and algorithms; who is technically strong in building scalable 3D perception systems across semantic scene completion, encoder-decoder and transformer architectures (e.g., VoxFormer, MonoScene), voxelized occupancy prediction, panoptic and instance segmentation, depth estimation, point cloud processing, and multi-view fusion. Our team tackles some of the hardest unsolved problems in 3D robotic perception: completing occluded scenes from partial observations, generating real-time semantic occupancy predictions, fusing multi-camera inputs (pedestal and end-of-arm tool), and producing sub-250ms mesh reconstructions that drive downstream manipulation decisions.
Senior Applied Plasma Data Scientist HelionSenior Applied Plasma Data ScientistEverett, WashingtonSince Helion's founding in 2013, we have raised $1.5 billion from long-time investors such as Sam Altman, Mithril, and Capricorn Investment Group as well as new investors including Thrive Capital, LightSpeed Venture Capital, SoftBank, and others to propel us forward. Develop and validate machine‑learning frameworks for FRC plasma‑dynamics, leveraging physics‑grounded ML approaches (e.g., differentiable physics, PINNs, surrogate modeling, or hybrid physics+ML systems).