Engineering Manager - Data Intelligence Applied IntuitionEngineering Manager - Data IntelligenceSunnyvale, CaliforniaYour team will work across three key areas: Data Quality, where we build systems to measure, validate, and improve the integrity of our datasets; Labeling Workflows, where we design intelligent annotation pipelines that combine human expertise with AI-powered automation; and Data Mining, where we surface rare, high-value driving scenarios from massive multi-modal fleet data. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C. San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo.
Senior Engineering Technician, Prototype Shop Form EnergySenior Engineering Technician, Prototype ShopBerkeley, CAThis role is designed for an experienced technician who thrives in a fast-paced R&D environment, taking ownership of builds while helping drive quality, efficiency, and execution across the shop. In recent years, Form Energy has earned a number of accolades, including being named by TIME as a "Best Invention", MIT Technology Review as a "Top Climate Tech Company To Watch", and Fast Company as "One of the Next Big Things In Tech".
Staff Technical Program Manager, Software Engineering Form EnergyStaff Technical Program Manager, Software EngineeringBerkeley, CAIdentify and mitigate program risks and cross team dependencies, align vendors and partners to schedule and interface requirements, facilitate technical and strategic decisions with engineering and executives, and mentor other program managers to raise overall execution quality and grow future technical leaders. What you'll do: Own end to end delivery of complex software, and firmware, from concept through launch and commercialization, ensuring alignment across firmware, software, interfaces, systems, and data teams.
Engineering Manager, Research Productivity AnthropicEngineering Manager, Research ProductivitySan Francisco, CAYou'll work with research teams to incorporate their innovations into our production finetuning pipeline, product teams to help us iterate quickly on customer-oriented model improvements, and infrastructure teams to make sure our training runs and data pipelines are as efficient as possible. As a manager, you'll support a team of machine learning and distributed systems experts to make these systems and tools highly efficient, support fast iteration on model development and research, and evolve the infrastructure continuously to incorporate new research advances.