Jobs
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 “Staff Machine Learning Engineer, Foundation - Seattle”. A match may be a passing mention rather than the job itself. Titles only.
10 roles across 18 listings · show every listing
…distributed systems and machine learning infrastructure. You will foster a culture of innovation and excellence, leading and growing talented junior engineers on your team…
…We are hiring a Staff ML Engineer (IC6) to define and lead the foundation model strategy powering these experiences. At this level, you will…
…You'll have foundational exposure to Physical AI domains - digital twins, robotic or discrete event simulation, synthetic data generation with World Foundation Models, and…
…We are looking for a Staff Machine Learning Engineer to lead the technical vision for our Ads Conversion Core Modeling team, building the state…
…engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design, implementation, or consulting in applications and infrastructures experience - Experience in machine learning, data…
The Shopping Convo Foundations Team - Pre-purchases Science is looking for an Applied Scientist with expertise in Artificial Intelligence and Machine Learning to drive…
…Experience with architecting and engineering ontologies and knowledge graphs in enterprise environments - AWS certifications in Data Analytics or Machine Learning Specialty preferred - Experience in…
…San Francisco, Palo Alto, Seattle. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our…
…Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language - Knowledge of Machine Learning and LLM fundamentals…
…5, Experience partnering with applied scientists, data scientists, or machine learning engineers to translate ambiguous analytical requirements into scalable production systems. 6, Knowledge of…