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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Engineering Manager, Ads ML Efficiency”. A match may be a passing mention rather than the job itself. Titles only.
879 roles across 1,017 listings · show every listing · page 1 of 36
…dedicated Ads ML Efficiency function to make model training and inference materially faster, cheaper, safer, and more scalable. As the Engineering Manager for this…
…motivated Director of Test & Evaluation Engineering with emphasis in developmental test, with additional experience performing test lead/manager responsibilities. You will work heavily with…
…These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress…
…This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. * Work closely with engineers and product managers to design, implement…
…Partner closely with applied scientists, engineers, product managers, and domain experts to translate ambiguous requirements into scalable technical solutions. Drive architecture decisions, mentor engineers…
…and other engineering counterparts to design and build efficient AI solutions for Airbnb CS products Learn and share the latest AI/ML technologies with…
…engineers across pillars through example and enablement (not line management). Use AI to streamline data workflows, from authoring and testing pipelines to catalog/search…
…Lead and implement advanced inference acceleration techniques, including attention optimization and quantization for efficient model serving. - Maximize GPU Parallelism: Engineer and optimize GPU strategies…
…Airflow, Prefect, or Dagster Knowledge of MLOps workflows, including feature engineering, model deployment, and monitoring (e.g., MLflow, Vertex AI) Experience with data quality…
…to customer value AI-first engineer who consistently uses modern AI coding and reasoning tools to improve engineering efficiency, accelerate delivery, and raise the…
…managers, and software engineers, to define the vision and roadmap for the design system UI component library Architect and design scalable and efficient UI…
…A natural mentor with a history of developing engineers and influencing technical direction across teams. Advanced degree in Computer Science, Electrical Engineering, or a…
…operational data architectures, and improve governance and cost efficiency Sell the value of fully-managed Postgres for intelligent applications , positioning Lakebase as the optimal…
…We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and…
…Customer Solutions Managers (CSM) are responsible for four focus areas: 1/Accelerating AWS Adoption through Delivery and Execution 2/Identify & Align on Strategic Opportunities…
…These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress…
…enabling efficient processing and understanding of codebases and knowledge assets. Design, build, and maintain APIs, services, and integration layers to expose AI/ML capabilities…
…Our goal is to personalize the Qualtrics experience using ML and AI features showcasing Qualtrics data as a core value proposition and competitive advantage…
…value proposition and competitive advantage. This team partners with application teams to deliver ML algorithms and models that drive efficiency, innovation, and growth. They…
…adding integrations leveraging the latest AI/ML models. Veza can only do what its integrations enable; you will work closely with all other engineering…
…Develop production-grade Python services that bridge advanced AI and ML capabilities with reliable customer-facing products. Drive well-scoped ML projects from design…
…Prior work with Data Science and ML teams, including designing products that use predictive models, risk scores, or automated decisioning while managing operational and…
…We are hiring a Product Manager to lead this platform. You will work with 10+ teams and partner closely with engineering, ML, data science…
…The DIP team's goal is to accelerate Qualtrics's ML adoption by enabling every engineering team to experiment, design, build, monitor, and troubleshoot…
…operational data architectures, and improve governance and cost efficiency. Sell the value of fully-managed Postgres for intelligent applications , positioning Lakebase as the optimal…