Senior Research Scientist, Population Health Modeling (Nutrition and Disease) (*2-year LTE) Bill and Melinda Gates FoundationSenior Research Scientist, Population Health Modeling (Nutrition and Disease) (*2-year LTE)Seattle, WA$190,100–$294,700 / yearWhat You'll Do + Model how nutrition investments interact with and modify outcomes in infectious disease, maternal health, and related domains - developing stratified population models that make effect heterogeneity by nutritional status, disease burden, and geography empirically visible + Translate multi-intervention impact estimates into comparative evidence that informs portfolio-level decisions + Analyze complex, real-world datasets (e.g., surveys, surveillance systems, administrative and programmatic data), often characterized by missingness, bias, or measurement limitations + Apply advanced modeling methods to extrapolate evidence on program/ intervention effectiveness to different contexts and populations, generating rigorous projections to inform program scale-up and future investment planning + Quantify and communicate assumptions, uncertainty, and limitations of analyses to both technical and non-technical audiences + Collaborate closely with interdisciplinary teams to co-develop research questions and analytical approaches + Translate statistical results into clear, actionable insights for internal stakeholders and external partners + Contribute to high-quality applied research outputs, including internal reports, policy briefs, and peer-reviewed publications + Support reproducible research practices through well-documented, maintainable code and analytical workflows + Some international travel may be required Your Experience + PhD in statistics, biostatistics, epidemiology, nutrition science or related quantitative discipline (e.g., mathematical demography, economics, data science, etc.) + Minimum of five (5) years of post-PhD experience conducting applied statistical research in public health or population-level research settings + Demonstrated experience applying statistical methods to demographic, socioeconomic, and health-related research questions + Experience translating multi-intervention trial and program data into comparative impact estimates across disease areas or outcome domains + Sufficient grounding in nutrition science to identify plausible interaction mechanisms, evaluate program designs for synergistic effect, and guide disease modelers on which nutritional pathways to represent + Advanced skills in Python or R, with experience developing reproducible and scalable analytical workflows + Proven ability to work with messy, incomplete, and imperfect real-world data + Experience collaborating in interdisciplinary and cross-sector research environments Other Attributes + Strong written and verbal communication skills, with the ability to explain statistical findings clearly to diverse audiences + Experience working in global health and low- and middle-income countries is a plus ** Must have unrestricted work authorization in the country where this position is located. The IDM team is composed of research scientists and software developers who create advanced models of disease transmission, develop computational tools to inform global disease eradication policy, conduct analysis of epidemiologically- and policy-relevant data, and identify and address critical knowledge gaps.
Model Based System Engineer - 100% Remote ArcfieldModel Based System Engineer - 100% RemoteHome, D.C.RemoteFull timeThere are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. As an industry-leading solutions provider in digital engineering and model-based systems engineering (MBSE), the company delivers MBSE-as-a-Service, integrated digital engineering environment deployments, training and consulting to both commercial and public sector customers.
Model Based Systems Engineer - 100% Remote ArcfieldModel Based Systems Engineer - 100% RemoteHome, D.C.RemoteFull timeThere are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. As an industry-leading solutions provider in digital engineering and model-based systems engineering (MBSE), the company delivers MBSE-as-a-Service, integrated digital engineering environment deployments, training and consulting to both commercial and public sector customers.
Sr. Model Based Systems Engineer - 100% Remote ArcfieldSr. Model Based Systems Engineer - 100% RemoteHome, D.C.RemoteFull timeThere are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. As an industry-leading solutions provider in digital engineering and model-based systems engineering (MBSE), the company delivers MBSE-as-a-Service, integrated digital engineering environment deployments, training and consulting to both commercial and public sector customers.
Senior AI Engineer, World Foundation Models - 2 NVIDIA CorpSenior AI Engineer, World Foundation Models - 2WAExperience using agentic workflows, and AI coding companions, to accelerate research and production development, including code generation, debugging, test creation, experiment automation, benchmark development, documentation, and large-codebase navigation. Explore and prototype improvements across spatial multimodal modeling, modality alignment, flow-based or diffusion-based video generation, and neural rendering-inspired representations to improve controllability and long-horizon consistency.
Sr. Worldwide Specialist - GenAI, Foundation Models, Data & AI GTM AmazonSr. Worldwide Specialist - GenAI, Foundation Models, Data & AI GTMSeattle, WAUSA, CA, SANTA CLARA - 179,000.00 - 242,200.00 USD annually USA, CA, San Francisco - 179,000.00 - 242,200.00 USD annually USA, NY, New York - 179,000.00 - 242,200.00 USD annually USA, TX, Dallas - 162,700.00 - 220,200.00 USD annually USA, WA, Seattle - 162,700.00 - 220,200.00 USD annually This involves activities such as market sizing, building an opportunity pipeline, working with customers to understand technical requirements for proof-of-concepts, creating content to train the field teams, driving industry thought-leadership, working with product teams to define new features, and identifying partners and potential acquisitions.
Enterprise Operating Model Senior Manager, Utilities AccentureEnterprise Operating Model Senior Manager, UtilitiesSeattle, WA$122,700–$317,200 / yearTravel as required, 80% - 100% Here's What You Need + Bachelor's degree + Minimum of 7 years of experience in one or more of the following: + Organization Strategy & Design + Operating Model Strategy & Design + Shared Services Strategy & Design + Client Relationship Building and Management + Value Architecture & Realization + Storytelling + Data analysis & insights generation + Minimum of 5 years of consulting experience Bonus points if you have: + Experience working in or consulting with the Utilities industry + MBA or equivalent graduate degree + Experience in the following: + Leadership Strategy / Development + Job and Role Design + End-to-end enterprise or function transformation implementation + Strategic Cost Reduction + Growth Strategy + M&A + Private Equity + Managed Service Providers + Digital organization design tools (e.g., OrgVue) + Prior experience in Digital Transformation - robotic process automation, generative AI, Agile methodologies Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
Enterprise Operating Model Manager, Energy AccentureEnterprise Operating Model Manager, EnergySeattle, WA$87,400–$253,000 / yearTravel as required, 80% - 100% Here's What You Need + Bachelor's degree + Minimum of 3 years of experience in one or more of the following: + Organization Strategy & Design + Operating Model Strategy & Design + Shared Services Strategy & Design + Client Relationship Building and Management + Value Architecture & Realization + Storytelling + Data analysis & insights generation + Minimum of 5 years of consulting experience Bonus points if you have: + Experience working in or consulting with the Energy industry + MBA or equivalent graduate degree + Experience in the following: + Leadership Strategy / Development + Job and Role Design + End-to-end enterprise or function transformation implementation + Strategic Cost Reduction + Growth Strategy + M&A + Private Equity + Managed Service Providers + Digital organization design tools (e.g., OrgVue) + Prior experience in Digital Transformation - robotic process automation, generative AI, Agile methodologies Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
Associate or Experienced Electromagnetic Model Fabrication and Finishing Specialist The Boeing CoAssociate or Experienced Electromagnetic Model Fabrication and Finishing SpecialistTukwila, WA$73,767–$97,141 / yearThe Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. This role includes integrating electromagnetic components into highly precise models, transforming raw and advanced materials into finished components, and supporting coating, fairing, sanding, and spray operations.
Used Car Technician / Mechanic - All Makes, All Models Titus-Will Automotive GroupUsed Car Technician / Mechanic - All Makes, All ModelsTacoma, WashingtonFor positions involving driving company and/or customer vehicles, you will be required to provide a copy of your driving record (available at your local DMV). Test-drive vehicles, and test components and systems, using diagnostic tools and special service equipment.
Epic Clarity Report Writer Clinical Data Model 6273898 AccentureEpic Clarity Report Writer Clinical Data Model 6273898Seattle, WA$71.73–$85.73 / hour
AIML - Machine Learning Researcher, Foundation Models AppleAIML - Machine Learning Researcher, Foundation ModelsSeattle, WAMinimum Qualifications** + Demonstrated expertise in deep learning with a publication record in relevant conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, COLM, ACL, NAACL, EMNLP, KDD, ACL) or a track record in applying deep learning techniques to products + Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow + Ability to work in a collaborative environment. We're 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.
AIML Researcher/Engineer - Foundation Model Post-Training AppleAIML Researcher/Engineer - Foundation Model Post-TrainingSeattle, WAMinimum Qualifications** + Demonstrated expertise in deep learning with a focus on LLMs, post-training, or reinforcement learning, backed by a strong record of academic or real-world accomplishments in these or closely related domains. **Description** In this role, you will play a critical role shaping the future of our LLM efforts, specifically in transforming our models into highly capable, intelligent assistants that power billions of Apple products.
Senior ML Engineer - Model Compression General MotorsSenior ML Engineer - Model CompressionOlympia, WA$128,700–$261,300 / yearAbout the Role** Over time, you will help grow and evolve the Compression and Parity function through the following: + Developing and iterating on quantizationand compressionstrategiesfor ourAV models,consideringmodel numerical properties, safety and latency constraints, andhardware performance, andpartnering on deployment of quantized modelsto NVIDIA-based AV hardwarewith our deployment, compiler, and kernel teams + Advancing our numerical sensitivity analysesto recommend safecompressionpolicies per op/layer/block,using AV-relevant metrics(perception, trajectory,etc.) to evaluate compressed models,andcollaborating withEmbodied AItosupportcompression-aware modeling + Evolvingsensitivity analysis, compression, and parity toolinginto a connected, automated flow that makes low-precision deployments repeatable, reliable, and low-touch,with an emphasis onrobust execution and maintainability + Bridging the gapbetweenstate-of-the-artmodel compressionresearch andsafety-constrained deploymentwhilemakingstrong technical contributions incross-functional projectsand educating others on best practices **Your Skills & Abilities (Required Qualifications) ??** ? Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (https://flows.beamery.com/generalmotors/talcom) .
AIML - Senior ML Researcher in Foundation Models, Responsible AI AppleAIML - Senior ML Researcher in Foundation Models, Responsible AISeattle, WAJAX, PyTorch, Tensorflow) + Work with highly-sensitive content with exposure to offensive and controversial content + Strong organizational and operational skills working with large, multi-functional, and diverse teams **Preferred Qualifications** + Experience with LLM training and safety alignment + BS, MS in Computer Science, Machine Learning, or related fields or an equivalent qualification acquired through other avenues You will collaborate closely with top machine learning researchers and engineers, software engineers, and design teams to develop and deliver groundbreaking solutions for Apple products.
Sr Data Scientist - Member Growth & Prescreen Modeling Boeing Employees Credit UnionSr Data Scientist - Member Growth & Prescreen ModelingTukwila, WA$117,200–$143,200 / yearMinimum 5 years of experience developing predictive analytics and machine learning solutions, with demonstrated success designing statistical models, applying advanced analytical techniques, and translating business problems into scalable, data-driven solutions using Python, SQL, R, or similar programming languages. Operationalize Data Science Solutions: Partner with Data Engineering and Technology teams to deploy scalable machine learning models, support production-ready analytical solutions, and maintain reliable data pipelines that enable continuous optimization.