…autonomous driving - Track record of successful production ML deployments - Experience with large-scale distributed environments for ML training and inference - History of impactful first…

…The App Ads team sits at the intersection of ad tech, large-scale data infrastructure, and applied ML. Our systems process billions of bid…

…software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 2+ years of design, implementation, or consulting in applications and infrastructures experience…

…For this role, we are looking for folks who have technical breadth complimented by technical depth in AI/ML Frameworks, or MLOps, business aptitude…

…ML or AI platform — such as feature stores, embedding platforms, representation learning infrastructure, recommender systems, or equivalent — where the customers are internal engineering and…

…product, ML and engineering teams to augment user experience, find creative solutions to fill in gaps in technology, and increase customer adoption. Work at…

…7 years of experience leading technical project strategy, ML design, and optimizing industry ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging…

…About this role As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire’s ML platform…

…advisory services combined with industry experience Experience with complex data center buildouts or hybrid cloud / on-premise environments Knowledge of AI/ML infrastructure and…

…using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our…

…You’ll ensure the electrical architecture keeps pace with rapidly increasing rack densities and the unique load characteristics of large-scale ML training. A…

…REQUIRED QUALIFICATIONS Core Engineering Strength: Strong production-level coding skills in Python and deep learning frameworks (like PyTorch or JAX). ML & LLM Expertise: Hands…

…As a Staff Engineer, you will own the technical roadmap for our ML platform. You will build the robust infrastructure, MLOps tooling, and systems…

…Engineering credibility earned through hands-on experience with technically complex domains — observability, infrastructure, data platforms, or AI/ML systems including model training pipelines, ML…

…Strong candidates may also have Experience marketing AI/ML or complex technical products to enterprise customers Experience building and leading demand generation teams in…

…industry trends in payments, APIs, and financial technology, and leverage AI/ML where relevant to drive product innovation. Who you are We're looking…

…to address customer and company concerns, including monitoring model performance and drift in production IaaS procedures and practices, including managed AI/ML services (e…

…You will define, design, and deploy targeted architectures that accelerate adoption of AWS Generative AI and ML services. You will engage with senior engineers…

…We are seeking a Systems Development Engineer to develop automation software, diagnostic tooling, and fleet health infrastructure for our accelerated (AI/ML) server platforms…

…cloud migrations, application modernization, data & analytics, infrastructure optimization, security & compliance, or AI/ML/GenAI/Agentic. AWS certifications (e.g., Solutions Architect Associate, Certified AI…

…C#, C++, Java, or Perl experience - Bachelor's degree or equivalent - Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT…

…As a Senior Reliability Engineer you will engage with an experienced cross-disciplinary staff to conceive and design infrastructure technologies. You will work closely…

…across Product Engineering, AI Platform, and Data & ML Platform teams. WHAT YOU’LL BE DOING As a Staff Applied AI Engineer you will: - Build…

…WHO YOU'LL WORK WITH You'll report to the Data Engineering Manager who oversees the Data Infra & MLOps team as well as the…

…lab, or research-intensive technology company - Hands-on experience with AI/ML workflows, model evaluation, or the product development lifecycle for AI-powered applications…