Performance Modeling Engineer OpenAIPerformance Modeling EngineerSan 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. In this role, you will work closely with the Performance Modeling Lead and partner teams to analyze system behavior, run simulations or analytical models, and help quantify tradeoffs across compute, memory, networking, and storage.
AI Modeling Engineer PalonaAI Modeling EngineerLos Altos, CaliforniaPalona’s AI agents operate in real restaurant environments: noisy phone lines, varied accents, complex menus, interruptions, incomplete information, strict business rules, and customers who expect an immediate, natural response. You will own problems across model selection and routing, prompting and context, fine-tuning or post-training when justified, speech and language quality, evaluation methodology, dataset development, and model behavior in production.
Senior Staff Scienitst-Quantitative Modeling, AI & Pharmacometrics UCSF Medical CenterSenior Staff Scienitst-Quantitative Modeling, AI & PharmacometricsSan Francisco, CAJob Function Summary: Applies advanced computational, computer science, data science, statistical, and quantitative modeling principles, together with domain expertise in pharmacology, drug development, and translational science, to perform research and technology development supporting model-informed drug development (MIDD). The incumbent will apply expertise in pharmacometrics, quantitative systems pharmacology, AI/ML, computational biology, and translational modeling to develop predictive frameworks that inform regimen optimization, dose selection, clinical trial design, and translational decision-making for infectious disease drug development.
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.
Senior AI SoC Modeling Engineer, Annapurna Labs Machine Learning Accelerators, AWS Amazon.com IncSenior AI 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.
Senior/Staff Systems Modeling Engineer, Electric Propulsion Zipline International IncSenior/Staff Systems Modeling Engineer, Electric PropulsionSouth San Francisco, CA$180,000–$255,000 / yearContinuously improve model fidelity by comparing predictions against laboratory testing and production flight data, identifying model deficiencies, and deploying validated improvements that increase predictive accuracy across the fleet. Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible.
Lead Software Engineer, Model Serving Platform SciforiumLead Software Engineer, Model Serving PlatformSan Francisco, CaliforniaBacked by multi-million-dollar funding and direct sponsorship from AMD with hands-on support from AMD engineers the team is scaling rapidly to build the full stack powering frontier AI models and real-time applications. Experience with ML systems engineering, distributed GPU scheduling, open source inference engine like vLLM, Sglang, or TRT-LLM.
Machine Learning Infrastructure Engineer, Model Inference AbridgeMachine Learning Infrastructure Engineer, Model InferenceSan Francisco, CAAs an ML Infrastructure Engineer, Model Inference at Abridge, you'll play a pivotal role in building and optimizing the core inference infrastructure that powers our machine learning models. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output.
Phone System Design Engineer - Power Modeling Apple IncPhone System Design Engineer - Power ModelingCupertino, CAYou will publish system level power estimates for various customer usage scenarios to drive battery life and thermal design discussions, own system-level power validation, analyze next-generation hardware with various cross-functional teams across Apple, perform hands-on lab investigations, and debug power-related issues to identify power-saving opportunities. Position may require some international travelBachelors in Electrical Engineering or equivalent Knowledge in system architecture power and performance metrics for computer (CPU, GPU, memory, radio) technologies, battery powered devices, and power electronics.
Senior Model-Based Systems Engineer Rondo Energy, Inc.Senior Model-Based Systems EngineerAlameda, CA$185,000–$210,000 / yearBuild and maintain automated workflows in an AI-powered systems engineering platform to connect requirements, interfaces, simulations, verification status, interface changes, and traceability into a live, continuously updated picture of program health. 7+ years in systems, integration, or verification engineering on complex multi-disciplinary, software-intensive systems (energy storage, industrial, aerospace, automotive, robotics, or similar); 3+ years in a model-based engineering environment.
ML Research Scientist - Quantum Accelerated Generative Models Sygaldry TechnologiesML Research Scientist - Quantum Accelerated Generative ModelsSan Francisco, CaliforniaYou'll identify where quantum approaches can provide genuine advantage in generative workflows—not incremental improvements, but structural speedups rooted in the mathematics of these models. Sygaldry AI servers combine multiple qubit types within a single, fault-tolerant architecture to deliver the combination of cost, scale, and speed necessary for advanced AI applications.
Staff Software Engineer, Modelling Infrastructure GoogleStaff Software Engineer, Modelling InfrastructureSunnyvale, CAYou will work closely with partner teams, external organizations, and engineers from various tool and infrastructure teams to understand needs, align road-maps, and ensure the modeling infrastructure meets the evolving demands of both networking and AI/ML landscape. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Backend Engineer, Models Meter, Inc.Backend Engineer, ModelsSan Francisco, CA$160,000–$230,000 / yearTo make this possible, we don't just need great models; we need infrastructure that gives those models clean, versioned, low-latency access to the right data, across training, evaluation, and deployment. As described on Meter.ai, we're building models in a closed-loop system that takes (as input) real-time telemetry, logs, and events on the network to autonomously troubleshoot, improve performance, and resolve issues.
World Model Research Scientist- Physical AI Kodiak Robotics, IncWorld Model Research Scientist- Physical AIMountain View, CA$180,000–$240,000 / yearShould the position require, and Kodiak determines that a candidate's residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak's sole discretion, or, as an alternative, opt not to proceed with the candidate's application. We are looking for a research scientist to lead the design and development of world models capable of generating multi-sensor, multi-view, temporally coherent driving scenarios conditioned on actions, 3D scene context, and text.
Member Of Technical Staff - Model Training TwitterMember Of Technical Staff - Model TrainingPalo Alto, CA$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.
Senior Manager, ML Occupancy Modeling, Autonomy RivianSenior Manager, ML Occupancy Modeling, AutonomyPalo Alto, California$265,000–$331,000 / yearFull timeRivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services.
Staff Machine Learning Engineer, Diffusion, Generative Modeling And Inference SnapchatStaff Machine Learning Engineer, Diffusion, Generative Modeling And InferencePalo Alto, CA$229,000–$343,000 / yearOur team creates intuitive tools, platforms, and agentic systems that empower creators, developers, and internal teams to bring ideas to life, while advancing personalized, human-centric experiences across mobile, web, and wearable devices like Spectacles. 8+ years of post-Bachelor's machine learning or related experience; or a Master's degree in a technical field + 7+ years of post-grad ML or related experience; or a PhD in a related technical field + 4+ years of post-grad ML or related experience.
Research Scientist, RL for Autonomous Planning & World Modeling Waymo LLCResearch Scientist, RL for Autonomous Planning & World ModelingSan Francisco, CA$204,000–$259,000 / yearSince its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World''s Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. Demonstration of original contributions to the field through high-impact publications (ArXiv, peer-reviewed conferences like NeurIPS/ICLR/CVPR), technical blog posts, or significant open-source contributions.
Principal Architect, Performance Analysis And Modeling D-MatrixPrincipal Architect, Performance Analysis And ModelingSanta Clara, CAThis role focuses on emerging hardware technologies (DIMC, D2D, 3D-DRAM) and emerging workloads (generative inference, multi-modal LLMs) - building the analytical models and simulation tools that let the architecture team project performance on current and future d-Matrix silicon. You'll work closely with Hardware Design, Compiler, Inference Server, and Kernels teams, translating workload analysis into concrete modeling inputs and surfacing HW/SW improvement opportunities.
Principal Research Engineer, Model Training & Post-Training Inflection AIPrincipal Research Engineer, Model Training & Post-TrainingPalo Alto, CA$400,000–$550,000 / yearLead training and post-training strategy, including supervised fine-tuning, RLHF, DPO, GRPO, RLAIF, reward modeling, preference optimization, tool-use fine-tuning, distillation, synthetic data, and related methods. Inflection's models are central to our product and platform strategy, and we are looking for a hands-on technical leader to own the model-improvement loop from data and training through evals, post-training, release criteria, and production feedback.