Applied IntuitionSunnyvale, CADevelop state-of-the-art on-road behavior software and design planning modules for autonomous navigation. Deploy and test planning modules on production hardware and collaborate with customer engineers.
Develop state-of-the-art on road behavior software and leverage ML components to achieve highway and city driving. Design and implement planning modules that can be deployed for on road vehicles for autonomous navigation. Leverage lightweight map data (SD maps) and the outputs of a perception system to determine driving costs to use for planning. Deploy planning modules to production hardware and test on the road. Collaborate with customers’ engineers and manage customer relationships.
The salary range for this position is $149,365 – $484,663 per year USD annually.
Quantitative Researcher developing cutting-edge ML and statistical models to identify predictive signals in global financial markets. Requires PhD in a STEM field, strong Python skills, and interest in ML/AI; no finance experience needed. Matched to Alpha Research, Data Science, or Strategy Research teams.
Design and implement evaluation frameworks and pipelines for AI systems using Evaluation-Driven Development. Build Python-based test suites, LLM graders, and measurement systems that guide prompt iteration and production deployment decisions.
As an AI Engineer, you will build and maintain Clarium's master data enrichment pipeline, focusing on classification and entity resolution workflows. You will write production Python and SQL code, analyze complex datasets, and proactively audit data for quality issues.
Forward Deployed Engineer deploys AI agents for financial services customers, handles onsite integrations in regulated environments, builds connectors and frameworks, and translates customer needs into product insights. Requires 2+ years software engineering with Python, APIs, data pipelines, cloud, and AI experience.
Designs and trains embedding and retrieval models for AI agents to access web data at hyperscale, balancing research innovation with production efficiency for sub-second latency and fresh indexes.