- pony.ai (Fremont, CA)
- … development, evaluation, optimization , deployment, and monitoring. As a Machine Learning Engineer in ML Runtime & Optimization , you will be developing ... the next-generation compute platform architecture design and software infrastructure. + Apply model optimization and efficient deep learning techniques to models… more
- pony.ai (Fremont, CA)
- … development, evaluation, optimization , deployment and monitoring. As a Machine Learning Engineer Intern in ML Runtime & Optimization , you will be ... processing, machine learning and deep learning. + Experience in model optimization techniques such as quantization, pruning,...and libraries. + Strong knowledge on system performance, GPU optimization or ML compiler. Note + This… more
- General Motors (San Francisco, CA)
- **Job Description** **Senior AI/ ML Tooling Engineer ** Role: We are looking for an ML tooling engineer to build tools to analyze and optimize ... distillation, training, and inference of ML models. You will develop and...in-car compute and sensors + Build tooling to predict model performance based on architecture and data shape +… more
- Google (San Bruno, CA)
- …specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing. Information collected and processed as part of ... Software Engineer III, AI/ ML , YouTube _corporate_fare_ YouTube...year of experience with ML infrastructure (eg, model deployment, model evaluation, optimization ,… more
- Google (San Bruno, CA)
- … areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies. Information collected and processed as ... Staff Software Engineer , AI/ ML , YouTube _corporate_fare_ YouTube _place_...of experience leading ML design and optimizing ML infrastructure (eg, model deployment, model… more
- DoorDash (San Francisco, CA)
- …the Role We're looking for a Staff Software Engineer with deep expertise in ML model serving to drive the next generation of our inference platform. This is ... with core infrastructure teams (compute, storage, networking, dev platform) and with applied ML teams across Ads, Fraud, Logistics, Search, and more who depend on… more
- Autodesk (San Francisco, CA)
- …hands-on related experience. We value experience with machine learning infrastructure, model deployment, optimization and with software design, architecture, and ... faster decision-making. The Role We're looking for a Principal (Staff) Machine Learning Engineer to help shape the future of Autodesk's B2C eCommerce platform. This… more
- DoorDash (San Francisco, CA)
- …Dasher acquisition, incentives, and marketplace balancing. You'll own the end-to-end ML lifecycle-from feature engineering and model training to deployment, ... About the Team The Supply Strategy and Optimization team ensures DoorDash's marketplace remains balanced, efficient,...delivery types. About the Role As a Machine Learning Engineer on the team, you'll design and deploy production… more
- Google (San Francisco, CA)
- …specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing. Information collected and processed as part of ... Software Engineer III, AI/ ML _corporate_fare_ Google _place_ San Francisco, CA, USA **Mid** Experience driving progress, solving problems, and mentoring more… more
- Meta (Menlo Park, CA)
- …strategy that delivers a highly flexible platform to train & serve new DL/ ML model architectures, combined with auto-tuned high performance for production ... hardware software codesign for AI domain specific problems. **Required Skills:** Software Engineer , Systems ML - Frameworks / Compilers / Kernels… more
- Meta (Menlo Park, CA)
- …down to binaries for custom hardware accelerator blocks. **Required Skills:** Software Engineer , Systems ML - Compilers Responsibilities: 1. Analyze and design ... **Summary:** We are seeking a software engineer to support the development of the compiler...accelerators 2. Work with algorithm research teams to map ML graphs to hardware implementations, model data-flows,… more
- General Motors (San Francisco, CA)
- **Job Description** **Role:** As an AI/ ML Engineer on the Metrics Frameworks team, part of the Simulation, Evaluation, and Data organization, you will be an ... + Work closely with autonomous vehicle engineering to enable rapid development and model feedback. + Maintain a high technical standard for code quality on the… more
- Unity Technologies (San Francisco, CA)
- **San Francisco, CA, USA** **Senior Machine Learning Engineer , Ads Demand Optimization ** Location San Francisco, CA, USA Department Engineering Requisition ID ... impact for gamers and game developers across our ecosystem. The Unity Ads Demand Optimization team plays a critical role in this effort. We build systems and… more
- Amazon (San Francisco, CA)
- …continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF) * Model Optimization on AWS Silicon: Optimize AI models for deployment ... generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance… more
- Amazon (San Francisco, CA)
- …Strong expertise in Python, C++ and CUDA programming - Experience with TensorRT or similar ML optimization frameworks - Track record of optimizing ML models ... serving at scale - Explore and evaluate emerging optimization techniques including ONNX Runtime and other ML...compilers (ONNX Runtime, TVM, etc.) - Experience with transformer model optimization - Background in performance profiling… more
- DoorDash (San Francisco, CA)
- … to serve as the technical lead driving the design and development of large-scale ML / optimization systems within the Ads Delivery funnel. In this role, you will: ... closely with Product, Data Science, and Engineering teams to design experiments, model frameworks, and production ML systems that directly impact advertiser… more
- Genentech (South San Francisco, CA)
- … facing scientific web applications and backend systems. + Build tools to evaluate AI/ ML model performance and establish new ways to understand AI quality. + ... model training and inference, evaluating the quality of AI/ ML models and output, and building impactful applications which... Engineer ); 12+ years (Senior Principal Machine Learning Engineer ). + Strong proficiency with AI/ ML frameworks,… more
- Capital One (San Francisco, CA)
- Distinguished AI Engineer **Overview:** At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has ... questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We...test, deploy, and support AI software components including foundation model training, large language model inference, similarity… more
- DoorDash (San Francisco, CA)
- …Learning Engineer to drive the design and development of large-scale ML / optimization systems to target personalization efforts across the DashPass Subscriber ... closely with Product, Data Science, and Engineering teams to design experiments, model frameworks, and production ML systems that directly impact DashPass… more
- Autodesk (San Francisco, CA)
- …recommendation systems, feature stores, and A/B testing infrastructure + Experience building ML data pipelines, feature engineering systems, and model serving ... 25WD90545 **Position Overview** We are seeking a Principal Data Engineer to provide technical leadership in designing, building, and...and metrics computation at scale + Knowledge of MLOps, model monitoring, and ML pipeline orchestration +… more