…post-production systems, with a working understanding of how editorial training data and creative feedback signals drive model behavior and output quality. - Direct experience…

…building machine learning systems, recommendation engines, or large-scale data pipelines. - Experience with AWS services or other cloud platforms. - Strong track record of delivering…

…of innovation across all technology areas, including Compute, Storage, Database, Big Data, AI/ML, Application-level Services, Networking, Serverless, and more. This is not…

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

…software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design, implementation, or consulting in applications and infrastructures experience…

Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SoCs that are used to power today’s AI workloads in datacenters all…

…We’re looking for Staff Product Managers to help shape the next chapter of Pinterest’s applied AI/ML platform. In these roles, you…

…Lead ML feature platform in partnership with data engineering to scale feature development and processing; solve scale, latency, or reliability constraints in ML data…

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

…You read and debug prompts, understand ML and engineering constraints, and are comfortable personally authoring the artifacts that shape production behavior. Data fluency. You…

…ML or data platforms. A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field. Deep expertise in Databricks lakehouse…

…Able to translate feedback from PMMs, sellers, and campaign managers into clear product requirements and measurable improvements. - Sales, marketing, and data platforms: Familiarity with…

…design critical components, review designs/PRs, de-risk complex launches, and mentor senior engineers and staff+ TLs. Partner deeply with Product, Data Science, Research…

…Essential 8+ years in ML engineering, including hands-on computer vision with camera and/or lidar sensor data, and a track record of shipping…

…closely with data science or ML teams - Experience collaborating with cross-functional stakeholders and with teams and leaders across the engineering function - [nice-to…

…In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to…

…Shape Data & Evaluation Strategies: Define and execute data collection strategies across physical assets, test sites, and virtual simulations. Work with AI Infrastructure engineers to…

…simulation data. Over time, you will help recruit, mentor, and expand this infrastructure engineering team. WHAT YOU’LL DO Architect the ML Platform: Design…

…Have experience mentoring engineers and contributing to their technical development Strongly Preferred: Experience developing user experiences for machine learning and data-intensive applications Experience…

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

…You May Be a Good Fit If You Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in…

…representative tasks, precise rubrics, clean data, failure analysis, regression tracking, and knowing when a metric is giving false confidence. - You have strong applied MLE…

…collaboration with engineering teams. - Lead cross-functional teams—including engineering, design, sales, compliance, and data science—to deliver impactful solutions. - Use data-driven methods…

…Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better…

…adoption of AWS Generative AI and ML services. You will engage with senior engineers, architects, product leaders, data scientists, and executives at strategic enterprise…