Applied Scientist, Operations Research, Modeling and Optimization (MOP) Amazon.com IncApplied Scientist, Operations Research, Modeling and Optimization (MOP)Bellevue, WAAmazons Modeling and Optimization (MOP) team seeks motivated individual with strong analytical and algorithmic skills to optimize the global logistics network and its operations. A Day in the Life: Lead development of production-ready algorithms and scientific tools for under-the-roof (UTR) and network process analysis and optimization.
US International Tax / Modeling Sr. Manager, Strategic Tax Planning Amazon.com IncUS International Tax / Modeling Sr. Manager, Strategic Tax PlanningSeattle, WAIn this role, you will drive significant initiatives with other tax team members on a wide variety of projects spanning international planning topics, including 951A/GILTI, foreign tax credits (FTC), Subpart F, BEAT, FDII, DCL/anti-hybrid and Pillar Two. The role requires in-depth U.S. international tax technical knowledge, the ability to evaluate and advise on international business initiatives, and the quantitative skills to translate technical conclusions into modeling analysis.
Applied Scientist, Conversational Assistant Modeling and Learning Amazon.com IncApplied Scientist, Conversational Assistant Modeling and LearningBellevue, WAYou will work on key initiatives spanning large language model fine-tuning, alignment, agentic reasoning, and evaluation - directly shaping the experience for hundreds of millions of customers worldwide. Improve the efficiency of LLM, VLM, and agent training and evaluation pipelines, including distributed training, inference serving, data loading, checkpointing, memory usage, and GPU utilization.
AIML - Site Lead & Lead Researcher, Foundation Models Apple IncAIML - Site Lead & Lead Researcher, Foundation ModelsSeattle, WAWere solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, and aligning models reliably across the spectrum from open-ended creative tasks to precise, action-taking workflows. Foster collaboration across teams and stakeholder groups, bridging research, product engineering, and business objectives to ensure breakthrough ideas reach millions of users.
Member of Technical Staff - Model Training SpaceXAIMember of Technical Staff - Model TrainingSeattle, WA$180,000–$600,000 / yearIf you previously trained models used by millions of people it's a big plus, but modeling experience is not required. SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.
NewSenior Power System Modelling Engineer Powertech Labs IncSenior Power System Modelling EngineerSeattle, WARemoteOur internationally recognized consulting team provides a full range of services, including electromagnetic transient studies, system planning and stability analysis (transient, voltage, frequency, and small-signal), disturbance investigations, interconnection studies, renewable integration (wind and solar), load modeling and validation, and NERC compliance (e.g., TPL, PRC, MOD, CIP). Experiences on site commissioning and testing including regular field work following procedures, data collection using digital DAQ systems, control equipment function and communication troubleshooting, safety training and awareness, considered as an asset.
Research Engineer, Production Model Post-Training AnthropicResearch Engineer, Production Model Post-TrainingSeattle, 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. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with.
Product Manager, Claude Code Model Performance AnthropicProduct Manager, Claude Code Model PerformanceSeattle, WAAs a Product Manager on Claude Code's model performance team, you will drive model launches end-to-end, build evals that measure what matters, and partner directly with researchers and product engineers to translate model improvements into developer-facing outcomes. This 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.
Large Machine Learning Model Optimization Engineer, SIML Apple IncLarge Machine Learning Model Optimization Engineer, SIMLSeattle, WASoftware engineering skills in Python Experience in developing large computer vision and machine learning models, particularly on the hardware-aware model optimizations BS and a minimum of 3 years relevant industry experienceFamiliar with model compression algorithms including quantization, pruning, distillations, and experience on optimizing large diffusion models or language models MS or PhD degree in Computer Science, or equivalent industry research experience Experience with hardware architecture, software & hardware co-design Leadership experience in driving large-scale projects in the industry Strong communication skills; phenomenal work ethic and collaboration ML compiler High performance kernel implementation Distributed inference. Our team is an applied research and engineering team responsible for developing real-time on-device Language, Computer Vision, and Machine Perception technologies across Apple products.
ML Model Integration Platform Eng Apple IncML Model Integration Platform EngSeattle, WAProficient in scripting and programming languages such as C/C++, Python, SQL, Shell Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science or related fieldUnderstanding and practical experience with containerization technologies (Docker) and orchestration platforms (Kubernetes). Your responsibilities will include architecting, designing, and delivering the systems and platform components that integrate Large Language Models (LLMs) and other AI models into Apples products.
Machine Learning Engineer, Foundation Model Services Apple IncMachine Learning Engineer, Foundation Model ServicesSeattle, WAWrite high-quality code, learn quickly in a fast-moving field, and grow your impact as you take on larger pieces of the system.2+ years of industry experience building and shipping production software and/or machine learning systems. Our infrastructure powers intelligent experiences across products people use every day - Search, Music, TV, the App Store, Messages, Photos, Spotlight, Safari, Siri, and more - serving millions of queries at incredibly low latency while drawing every ounce of performance from our hardware.
Senior AI Inference Engineer - Model Optimization & Deployment ZooxSenior AI Inference Engineer - Model Optimization & DeploymentSeattle, WA$225,000–$305,000 / yearIn this role, you will: Optimize 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). Proven experience optimizing large-scale models (Multi-Modal Sensor Fusion models, LLMs, VLMs/VLAs) utilizing Efficient Attention mechanisms (e.g., FlashAttention, Linear Attention), KV-cache optimization (e.g., PagedAttention) and Speculative Decoding.
NewAI Model Policy Trainer, Image Evaluation - Remote US Stryder CorpAI Model Policy Trainer, Image Evaluation - Remote USSeattle, WARemote$45–$55 / hourStrong candidates may come from photography, illustration, graphic or UX design, art direction, photo editing, animation or VFX, game art, trust and safety, content moderation, brand or IP enforcement, ad review, or art education. Depending on the project, evaluations may include sexual content and nudity, graphic violence and gore, hate symbols, self-harm, and depictions of real people and of minors in contexts that must be assessed against policy.
NewAI Model Policy Trainer, Image Evaluation - Seattle Onsite Stryder CorpAI Model Policy Trainer, Image Evaluation - Seattle OnsiteSeattle, WA$45–$55 / hourStrong candidates may come from photography, illustration, graphic or UX design, art direction, photo editing, animation or VFX, game art, trust and safety, content moderation, brand or IP enforcement, ad review, or art education. Depending on the project, evaluations may include sexual content and nudity, graphic violence and gore, hate symbols, self-harm, and depictions of real people and of minors in contexts that must be assessed against policy.
Content Creator (Model) Orca CommunicationsContent Creator (Model)Columbia, WashingtonRemoteOrca Communications wants fresh, bold talent to train as the next digital superstar. Your New Gig: Work with us to craft your unique brand as a real content creator.
AI Researcher – Large Language Models (LLMs) ResourceWellAI Researcher – Large Language Models (LLMs)Redmond, WashingtonD. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with research emphasis on NLP, LLMs, or generative AI. As an AI Researcher , you will: Conduct pioneering research on LLMs, focusing on architecture, training, optimization, and fine-tuning methodologies.
Student Researcher (AI Foundation Models Infrastructure - Seed Infra) - 2026 Start Beijing ByteDance Technology Co LtdStudent Researcher (AI Foundation Models Infrastructure - Seed Infra) - 2026 StartSeattle, WAAs an Infrastructure Intern, you may work on one or more of the following areas: Assist in building and optimizing large-scale distributed training systems (e.g., data/model parallelism, memory efficiency, reliability). Collaborate with researchers and engineers to translate model requirements into scalable system solutionsMinimum Qualifications: Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related technical fields.
Student Researcher (AI Foundation Models Infrastructure - Seed Infra) - 2026 Start (PhD) Beijing ByteDance Technology Co LtdStudent Researcher (AI Foundation Models Infrastructure - Seed Infra) - 2026 Start (PhD)Seattle, WAAs an Infrastructure Intern, you may work on one or more of the following areas: Design and optimize large-scale distributed training systems (e.g., data/model/pipeline parallelism, memory efficiency, fault tolerance). Build tooling and automation to improve developer productivity and system reliabilityMinimum Qualifications: Currently pursuing a PhD degree in Computer Science, Electrical Engineering, or related technical fields.
Research Scientist in AI Foundation Model Infrastructure - Seed - Graduates - 2027 Start (BS/MS) Beijing ByteDance Technology Co LtdResearch Scientist in AI Foundation Model Infrastructure - Seed - Graduates - 2027 Start (BS/MS)Seattle, WAMinimum Qualifications: Individuals who are completing or have recently completed a Bachelor's degree in Computer Science, Electrical Engineering, Electrical and Computer Engineering, Physics, Mathematics, or a related discipline. Preferred Qualifications: Experience in distributed systems, machine learning systems, or related areas through internships is preferred.
Research Scientist in AI Foundation Model Infrastructure - Seed - Graduates - 2027 Start (PhD) Beijing ByteDance Technology Co LtdResearch Scientist in AI Foundation Model Infrastructure - Seed - Graduates - 2027 Start (PhD)Seattle, WAMinimum Qualifications: Currently pursuing a PhD in computer science, mathematics, engineering, or a related field, with an expected graduation date in 2027 and the ability to commit to an onboarding date by the end of 2027. Design and build scalable infrastructure for large-scale model training, evaluation, and inference.