Senior Model Risk Manager Earnest IncSenior Model Risk ManagerSan Francisco, CAAbout You: You hold a Master's degree in a quantitative field (Statistics, Economics, Mathematics, Financial Engineering, or similar) with 7+ years of experience in model development, validation, or model risk management in financial services (or a Bachelor's degree with 10+ years of relevant experience). As the Sr Model Risk Manager, you will: Own and evolve Earnest's Model Risk Management framework, ensuring our credit, loss forecasting, fraud, marketing, and finance models are rigorous, transparent, and built to scale responsibly.
Senior Enterprise Account Manager, AI Models, HiTech Amazon.com IncSenior Enterprise Account Manager, AI Models, HiTechSan Francisco, CAWe pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Semiconductor Device Modeling Engineer Intel Corp.Semiconductor Device Modeling EngineerSanta Clara, CA$128,880–$245,160 / yearHands-on experience with BSIM-CMG and other compact models for transistor modeling at advanced nodes (e.g., FinFET, GAA) including experience in one or more of the following areas: Experience developing Layout-dependent effects (LDE) for FinFET or GAAFET technologies and their impact on circuit performance. As a member of CDMG you will be at the forefront of co-optimizing Intel's state-of-the-art process technology which allows customers with diverse design needs to enable best-in-class products for data-centric applications.
Senior Product Manager -Frontier Models (Datagrid) Procore Technologies IncSenior Product Manager -Frontier Models (Datagrid)San Francisco, CAA criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. appropriately managing, accessing, and handling confidential information including proprietary and trade secret information, as well as accessing Procore''s information technology systems and platforms; 2. interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues; and 3. exercising sound judgment. In this role, you'll own a defined product area within our Frontier Models & Spatial Intelligence initiative, driving outcomes that help customers identify design risk earlier, improve constructability, and reduce costly rework.
Research + Modeling Mind RoboticsResearch + ModelingPalo Alto, CaliforniaWe believe the hardest problems in AI are solved when researchers and engineers are hands-on with the physical world every day - and we're looking for people who are passionate about robotics, value ownership, and are excited to tackle difficult problems. We’re looking for a Research & Modeling Engineer to build and train the core models that power our systems, and ensure they perform reliably on real robots in production environments.
Research Scientist-Model Efficiency Bitdeer Technologies GroupResearch Scientist-Model Efficiencysan jose, CAA culture that values authenticity and diversity of thoughts and backgrounds; An inclusive and respectable environment with open workspaces and exciting start-up spirit; Fast-growing company with the chance to network with industrial pioneers and enthusiasts; Ability to contribute directly and make an impact on the future of the digital asset industry; Involvement in new projects, developing processes/systems; Personal accountability, autonomy, fast growth, and learning opportunities; Attractive welfare benefits and developmental opportunities such as training and mentoring. Genuine implementation-level depth in at least one area of model efficiency, such as quantization, sparsity and pruning, speculative decoding and MTP, or serving-time attention and KV-cache methods.
Performance Modeling Engineer MediaTek IncPerformance Modeling EngineerSan Jose, CAKey Responsibilities: Collaborate with architects and RTL/design teams to develop a deep understanding of CPU and SoC architectures, performance metrics, and workload characterization. As a key member of the architecture group, you will explore innovative designs and cutting-edge technologies that drive impact across the global computing industry.
Staff AI Engineer, Data Analytics & Modeling - Office of the CTO SonatusStaff AI Engineer, Data Analytics & Modeling - Office of the CTOSunnyvale, CA$188,000–$300,000 / yearThe pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. Sonatus is seeking a highly motivated Staff AI Engineer with expertise in data analytics and modeling to build AI-based software for next-generation AI-driven software-defined vehicles.
Helix AI Engineer, Modeling FigureHelix AI Engineer, ModelingSan Jose, California$200,000–$400,000 / yearThis role focuses on developing new modeling approaches across vision, language, and action—spanning representation learning, multimodal fusion, and model capabilities that directly impact robot intelligence. We are looking for a Helix AI Engineer, Modeling to design and advance the core model architectures and learning approaches that enable perception, reasoning, and action in embodied systems.
AI Research Scientist, Modeling & ToolCalling - MSL Meta Platforms IncAI Research Scientist, Modeling & ToolCalling - MSLMenlo Park, CAWork across the full LLM post-training stack Building high-quality training data, and designing and running evaluations Execute and iterate on post-training runs Own end-to-end LLM capability "hill-climbing" Conduct research on improved training and data curation strategies Lead complex technical projects end-to-endBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Currently has, or is in the process of obtaining, a PhD degree in Computer Science or a related technical field 2+ years of industry research experience in LLM/NLP, computer vision, or related AI/ML models Deep, practical experience in LLM post-training Experience as a technical lead on a team and/or leading complex technical projects from end to end Published research in leading peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV) and/or demonstrated significant industry influence in the field of AI Extensive experience working on long horizon agents, agentic tool use, personalization, and/or search Experience working on frontier-quality, state-of-the-art Large Language Models First-author publications at top peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV)Meta builds technologies that help people connect, find communities, and grow businesses. This team is focused on LLM post-training, with emphasis on advancing long-horizon agentic tool use, search, personalization, and other frontier capabilities required for models to operate effectively in real-world settings.
Computational design of biological experiments for model development InceptiveComputational design of biological experiments for model developmentPalo Alto, CaliforniaOur team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming antedisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields. We approach our goals with a Beginner's mind, humbly and with fresh eyes, and aim to become the pioneers of a new discipline rooted in biology as much as in deep learning, whose impact will be realized together with out-of-the-box thinkers in business and entrepreneurship, defying established categorizations.
Model Policy, Frontier Cyber Risk OpenAIModel Policy, Frontier Cyber RiskSan Francisco, CaliforniaFor unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. Our open-plan offices have height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, a private outdoor space for working in the sun or socializing, nap rooms, private bike storage, and more.
Senior Financial Analyst, Gemini for Enterprise Model Serving Google LLCSenior Financial Analyst, Gemini for Enterprise Model ServingSunnyvale, CAWe are the Gemini for Enterprise product finance team that supports Google Cloud Platform (GCP)'s vast array of AI products including Gemini API, Gemini Enterprise Applications, Gemini Enterprise Solutions, Vertex Agent and Model Platforms, and other AI Solutions. We are an integral partner and strategic financial advisers to the Cloud leadership team, advising on how to invest resources to grow a strong and sustainable business.
Senior Applied Scientist, Delivery Foundation Model Amazon.com IncSenior Applied Scientist, Delivery Foundation ModelSanta Clara, CALead focused technical initiatives from conception through deployment, ensuring successful integration with production systems- Drive technical discussions within the team and and key stakeholders. In this role, you"ll combine highly technical work with scientific leadership, ensuring the team delivers robust solutions for dynamic real-world environments.
Software Engineer, Model Inference, DeepMind Google LLCSoftware Engineer, Model Inference, DeepMindMountain View, CAYou"ll work directly with researchers and engineers to optimize and deploy large language models (LLMs) like Gemini onto Google"s production infrastructure, impacting users across a different range of applications. Leverage roofline analysis, hardware-level profiling, and systems analysis to identify and eliminate performance bottlenecks across ML frameworks, compilers (XLA), custom kernels (Pallas), and serving infrastructure on hardware accelerators (TPUs/GPUs).
Principal Engineer, Model Development Platform Wayve Technologies LtdPrincipal Engineer, Model Development PlatformSunnyvale, CA$295,500–$335,300 / yearYou''ll lead by example, going deep across web applications, distributed compute, ML Ops, data pipelines, and optimization algorithms, and through architecture and mentorship you''ll enable teams to build platform capabilities that measurably accelerate model development and fleet learning. Experimentation & scheduling systems - Build systems that optimize how models are tested in simulation and on-road, using techniques like linear programming and heuristic optimization to balance hardware, safety, and research priorities while improving throughput and turnaround.
ASIC Firmware Engineer, Modeling OpenAIASIC Firmware Engineer, ModelingSan Francisco, CaliforniaFor unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. This role involves designing and developing drivers and functional models for a large array of HW components, writing high throughput and low latency firmware code, investigating bring-up and production issues.
Asic Firmware Engineer, Modeling OpenAIAsic Firmware Engineer, ModelingSan Francisco, CAFor unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. This role involves designing and developing drivers and functional models for a large array of HW components, writing high throughput and low latency firmware code, investigating bring-up and production issues.
Product Manager, Model Management, Tapestry X Development LLCProduct Manager, Model Management, TapestryMountain View, CAIn this role, you will collaborate across technical and commercial teams and alongside subject-matter experts to define, build, and deliver essential grid network model management capabilities to both internal and external partners. Originally born at X, Alphabet's moonshot factory, Tapestry brings together experts in energy, AI, software engineering, and products to build tools that help the electricity ecosystem plan smarter, move faster, and operate more efficiently.
AI SoC Modeling Engineer, Annapurna Labs Machine Learning Accelerators, AWS Amazon.com IncAI SoC Modeling Engineer, Annapurna Labs Machine Learning Accelerators, AWSCupertino, CAWhat you"ll do: Develop and maintain high-fidelity functional model of AI/ML accelerator and its SoC subsystems, including compute engines, memory hierarchies, on-chip interconnects, and data paths - translating architecture specs and RTL behavior into accurate, testable C++ models. Collaborate with architects/micro-architects, RTL design engineers, ML SW engineers, and compiler engineers to evaluate architecture and microarchitecture tradeoffs and help make hardware design decisions.