Electrical Engineer II- #26-17370 US Tech Solutions, Inc.Electrical Engineer II- #26-17370Seattle, WA$50–$70 / hourProvide Domain Expertise: Operate comfortably across a wide range of electrical engineering sub-disciplines, applying generalist knowledge in circuit design, power systems, signal processing, and embedded systems to assess model performance. In this role, you will bridge the gap between traditional electrical engineering and artificial intelligence by helping our team develop, validate, and stress-test AI tools tailored for hardware, circuit design, and electrical systems analysis.
Staff Machine Learning Engineer, Search Ranking SnapchatStaff Machine Learning Engineer, Search RankingSeattle, WA$229,000–$343,000 / year8+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 7+ year of post-grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience. Develop and improve ranking models using techniques such as learning-to-rank, deep retrieval, neural ranking, sequence models, embeddings, multi-task learning, calibrated prediction, and large-scale feature engineering.
Senior Applied Scientist, Linear Personalization Experience Team (LPEX) Amazon.com Services LLCSenior Applied Scientist, Linear Personalization Experience Team (LPEX)Seattle, WAPrime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. The LPEX team's vision is to surface the breadth and depth of Prime Video's linear selection at exactly the right moment for each customer curating the most relevant programming, tailored to individual tastes, purchase behaviors, schedules, and viewing habits, while simultaneously elevating awareness of our extensive live and linear catalog.
Applied Scientist- Pricing OpendoorApplied Scientist- PricingSeattle, WA$156,800–$335,000 / yearThis role will contribute to our broader valuation and pricing ecosystem and we’re looking for someone who can combine strong modeling intuition with hands-on execution and strong engineering to build practical solutions for a low-margin, high-stakes business where small improvements can have an outsized impact. You’ll work on problems like modeling post-listing demand, estimating price elasticity, designing experiments, building structural models, and developing optimizers that help us make better decisions across our products and inventory.
AI Research Scientist - Agentic AI for Materials Discovery Meta Platforms IncAI Research Scientist - Agentic AI for Materials DiscoveryRedmond, WADesign, implement, and optimize LLM-orchestrated multi-agent systems for autonomous materials discovery pipelines Build specialized AI sub-agents that operate within a closed-loop discovery framework Integrate agentic AI workflows with computational chemistry tools (DFT, MD, Monte Carlo) and HPC infrastructure Develop and fine-tune retrieval-augmented generation (RAG) systems over scientific literature corpora for real-time knowledge synthesis Collaborate with materials scientists, computational chemists, and ML researchers to translate domain workflows into autonomous agent architectures Evaluate and benchmark agent performance on materials discovery tasks - measuring accuracy, throughput, and synthetic viability of generated candidates Contribute to open-source tooling and publish research at top-tier venues (NeurIPS, ICML, ICLR, or domain journals)Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience PhD in AI, Computer Science, Computational Chemistry, Materials Science, or related field 2+ years of experience with large language models, prompt engineering, or agentic AI frameworks (e.g., React, tool-use agents, multi-agent orchestration) Demonstrated programming skills in Python and experience with ML frameworks (PyTorch, JAX, or similar) Demonstrated experience in building end-to-end AI systems that integrate external tools and APIs Familiarity with at least one domain: computational chemistry, molecular simulation, or materials informatics Experience building multi-agent or LLM-orchestrated systems for scientific applications Familiarity with atomistic simulation tools (VASP, Gaussian, LAMMPS, ASE) or cheminformatics libraries Publications at peer-reviewed ML or domain conferences Experience with retrieval-augmented generation, knowledge graphs, or scientific literature mining Understanding of crystal structure prediction, molecular dynamics, or quantum chemistry workflows Experience with HPC job orchestrationMeta builds technologies that help people connect, find communities, and grow businesses. This role sits within Meta's Reality Labs Research, in the Material and Systems Innovation team, which develops advanced materials for two of Meta's most ambitious hardware frontiers: lightweight, all-day wearable AR glasses and next-generation sensing and actuating materials for robotics.
Research Scientist - Technologies of Data Management, LLM and AI Agents - Global Tech Research Program - 2027 Start (PhD) Beijing ByteDance Technology Co LtdResearch Scientist - Technologies of Data Management, LLM and AI Agents - Global Tech Research Program - 2027 Start (PhD)Seattle, WAThis topic conducts systematic research across the entire AI infrastructure stack: Network and Observability: Research intelligent fault localization and root cause analysis for large-scale AI clusters, combined with intelligent tuning of time-series databases to improve cluster stability. Data Center Power Scheduling: Research GPU/CPU/MEM heterogeneous collaborative scheduling technologies, build a heterogeneous power orchestration system for AI agents, and address scheduling challenges including heterogenous workloads and state dependencies.
Research Scientist - AI Compute & DPU - Global Tech Research Program - 2027 Start (PhD) Beijing ByteDance Technology Co LtdResearch Scientist - AI Compute & DPU - Global Tech Research Program - 2027 Start (PhD)Seattle, WADeep expertise in frontier areas such as large-scale model training and inference, heterogeneous computing optimization across GPUs/DPUs/accelerators, software-hardware co-design (e.g., FPGA/ASIC) across networking/storage/distributed compute, or high-performance networking (e.g., RDMA, NCCL, DPDK/SPDK) with hands-on experience in network virtualization (OVS, SR-IOV, eBPF). This topic conducts systematic research across the entire AI infrastructure stack: Network and Observability: Research intelligent fault localization and root cause analysis for large-scale AI clusters, combined with intelligent tuning of time-series databases to improve cluster stability.
Research Scientist - Model Capability Boundary Exploration and AI Data Flywheel System Development - Global Frontier Tech Recruitment Program - 2027 Start (PhD) Beijing ByteDance Technology Co LtdResearch Scientist - Model Capability Boundary Exploration and AI Data Flywheel System Development - Global Frontier Tech Recruitment Program - 2027 Start (PhD)Seattle, WABeyond model serving, we operate large-scale log analytics pipelines that process massive volumes of invocation logs from text models, multimodal models, and agent systems - extracting usage patterns, quality signals, and actionable insights to inform model improvement, system optimization, and product decisions through continuous, data-driven feedback loops. Team Introduction: The Applied Machine Learning Enterprise team combines system engineering and machine learning to develop and operate Large Language Model (LLM) service platforms that offer businesses Model-as-a-Service (MaaS) solutions, serving both large model providers and downstream users.
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: Currently pursuing a Bachelor's or Master's degree 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. Preferred Qualifications: Experience in distributed systems, machine learning systems, or related areas through internships is preferred.
Mechanical Engineer II- #26-17369 US Tech Solutions, Inc.Mechanical Engineer II- #26-17369Seattle, WA$50–$70 / hourProvide Domain Expertise: Operate comfortably across a wide range of aerospace sub-disciplines, applying generalist knowledge in aerodynamics, propulsion, orbital mechanics, and avionics (GNC) to assess model performance. In this role, you will bridge the gap between traditional aerospace engineering and artificial intelligence by helping the team develop, validate, and stress-test AI tools tailored for aerospace systems, flight dynamics, and structural analysis.
Applied Scientist II- Recruiting AI Agents, Recruiting Agents & Candidate Voice Amazon.com IncApplied Scientist II- Recruiting AI Agents, Recruiting Agents & Candidate VoiceSeattle, WADesign and architect AI-powered agentic solutions that help candidates navigate Amazon"s hiring process, including scoping requirements, identifying dependencies and constraints, and creating robust scientific and technical designs that balance candidate experience with system scalability. Collaborate cross-functionally with Research Scientists, Software Engineers, and Product teams to integrate agentic solutions into Amazon"s candidate-facing platforms, ensuring seamless deployment and alignment with broader Talent Acquisition goals.
Sr. Applied Scientist, Ads AI Core Infrastructure AmazonSr. Applied Scientist, Ads AI Core InfrastructureSeattle, WABasic Qualifications - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Our team thrives on tackling complex problems at the intersection of real-time data engineering, AI agent systems, and large language model optimization-turning innovative research ideas into production systems that serve millions of advertisers.
Senior Applied Scientist, ASCS AI Lab Team Amazon.com IncSenior Applied Scientist, ASCS AI Lab TeamSeattle, WAWe are seeking a Senior Applied Scientist to join our team in developing pioneering AI research, Generative AI, Agentic AI, Large Language Models (LLMs), Diffusion and Flow Models, and other advanced Machine Learning and Deep Learning solutions for Amazon Selection and Catalog Systems, within the AI Lab Team. As a Senior Applied Scientist, you will have the chance to experiment with LLMs and deep learning techniques, apply your research to solve real-world problems at an unprecedented scale, and collaborate with experienced scientists to contribute to Amazon"s scientific innovation.
Applied Scientist, Sales AI Amazon.com IncApplied Scientist, Sales AISeattle, WAPartner with software engineering and product management teams to support product and service development, define success metrics and measurement approaches, and help drive adoption of innovative new features for our services. As an Applied Scientist on the team, you will bring deep expertise in modeling dynamic systems using statistical methods and deep learning, and in optimizing those systems using reinforcement learning and operations research.
Data Scientist, SPX AI Lab, SPX Science Amazon.com IncData Scientist, SPX AI Lab, SPX ScienceSeattle, WAWe strive to radically simplify the seller experience, lowering the cognitive burden of selling on Amazon by making it easy to accomplish critical tasks such as launching new products, understanding and complying with Amazon's policies and taking actions to grow their business. It is powered by the latest advances in Generative AI, going beyond a typical chatbot to provide an intuitive, intelligent, agentic and personalized experience to sellers running real businesses, large and small.
Data Scientist, Analytics (Ranking, AI) Meta Platforms IncData Scientist, Analytics (Ranking, AI)Bellevue, WAR) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Master's or Ph. We are currently redesigning the large and fragmented Ads model space by developing new modeling architectures, advancing the scale limit through model-hardware co-design, and developing techniques that better leverage anonymized, aggregated data.
Sr. Solutions Architect, Life Sciences Amazon.com IncSr. Solutions Architect, Life SciencesSeattle, WAYou will interact with pharmaceutical companies, CROs, and biotech customers directly to understand their hardest clinical operations problems, help them architect and implement scalable AI-powered solutions (often via proof-of-concepts), and feed those insights back to shape the product features that developers and scientists will build on. We are looking for someone who has built and shipped production-ready clinical data systems, not just prototypes, and understands the hard business/technical choices required to close the gap between proof-of-concept and GxP-validated deployment at scale.
Applied Scientist, SPX AI Lab Amazon.com IncApplied Scientist, SPX AI LabSeattle, WAYou will partner with top-tier scientists and engineers to launch production-grade agentic capabilities at Amazons scale - owning your problem space end-to-end, from a crisp customer insight to a shipped product that millions of sellers rely on. Amazon Seller Assistant team operates at the very frontier of agentic AI and agentic commerce - not as a research group, but as a team shipping production-grade, multi-agent systems used by millions of sellers worldwide.
Software Engineer, ML Platform Xaira TherapeuticsSoftware Engineer, ML PlatformSeattle, WashingtonOur 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 $140,000 - $215,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.
AI Scientist GE HealthCareAI ScientistBellevue, WA$160,080–$240,120 / yearAn in-depth understanding of machine learning algorithms and modeling (e.g., semi-supervised or weakly supervised learning, generative models, transfer learning, optimization, large language models, etc.) + Track record in developing machine learning solutions using massive real-world data for solving real world business problems. At GE HealthCare, we are committed to bringing AI and cloud-based solutions for our customers: all aspects of computing services across the cloud and edge - including advanced analytics, visualization, multi-modal learning, servers, databases, storage, networking, analytics, software, intelligence are delivered over the Internet.