…Deep knowledge of Spark core internals, Delta/Iceberg, JVM optimisation, and memory management, with additional proficiency in AI ecosystems like Machine Learning, Deep Learning…

…Deep knowledge of Spark core internals, Delta/Iceberg, JVM optimisation, and memory management, with additional proficiency in AI ecosystems like Machine Learning, Deep Learning…

…management Facility working with very technical teams, including machine learning, safety and security research, infrastructure, and threat intelligence Familiarity with AI systems, machine learning…

…management Facility working with very technical teams, including machine learning, safety and security research, infrastructure, and threat intel Familiarity with AI systems, machine learning…

…of machine learning and large language model fundamentals Hands-on engineering experience in a weapons-relevant technical domain, such as systems engineering, robotics and…

…You will also bring project management discipline to ensure your programs deliver on time and on budget. This is a hands-on controls engineering…

…Solution Architects, AI Specialists, and Systems Engineers to serve as the trusted AI advisor in customer engagements. Drive AI-Focused Campaigns: Originate, lead, and…

…Manage operator and SME engagement end to end, from scheduling and consent through data handling and participant feedback. Contribute to adoption playbooks and training…

…Strong technical skills across ad servers, tag management, data integrations, and measurement/attribution tools (e.g., Google Ad Manager, DV360, The Trade Desk). Advanced…

…This team includes both machine learning engineers and fullstack software engineers. You will build and manage a team of engineers focused on solving this…

…10 years of experience in program management. 5 years of experience leading hardware/software New Product Introduction (NPI) lifecycles for machine learning infrastructure (e…

…or PhD in Computer Science, Machine Learning, Robotics, Control Engineering, or a closely related field Possess solid software engineering skills, writing clean and well…

…managing requirements for complex systems, preferably in ADAS or automated driving domains. Proficiency in requirements management (e.g., Jama, DOORS) and system engineering tools…

…with engineering teams throughout their development lifecycle. You will conduct security reviews and develop threat models and use the insights from these engagements to…

…Advertising. - 4+ years of applied research experience - 3+ years of scientists or machine learning engineers management experience - 3+ years of building machine learning models…

…Experience applying theoretical models in an applied environment - Ph.D. in Science, Technology, Engineering, or Mathematics (STEM) - Knowledge of machine learning concepts and their…

…Other responsibilities include: - Collaborate with scientists, engineers, and product managers to define and frame business problems as ML or optimization tasks. - Use machine learning…

…MS in Computer Science, Machine Learning, Computer Engineering or Electrical Engineering. Bonus Skills: Open-source contribution to any GenAI package. Experience architecting and developing…

…You'll need to partner cross-functionally to establish product analytics foundations, develop scalable machine learning and trigger-driven capabilities, and support testing and…

…AI model performance. Identify areas for enhancement. Implement updates to maintain quality and relevance. • Partner with data owners, department managers, data engineers and other…

…AI model performance. Identify areas for enhancement. Implement updates to maintain quality and relevance. • Partner with data owners, department managers, data engineers and other…

…integrations, authentication, and adjacent security technologies - Track record of leading change, especially transitioning a Solutions Engineering team from a hybrid model into a focused…

…Design, develop, and deploy machine learning solutions including data pipelines, model architectures and serving integrations to tackle practical challenges in the ads organization. Formulate…

…analytics engineering function, including core data models, semantic layers, Business Intelligence (BI) tooling, and pipeline infrastructure. • Hire, manage, and develop analytics engineers while establishing…

…a Machine Learning Engineer, Data Scientist, or Applied Scientist. You have 3+ years of experience as an Engineering Manager and successfully managed a team…