Build the features, integrations, and automations that make our products genuinely useful day to day, including automating manual processes on RPA platforms such as UiPath or Power Automate where that approach fits better.
Coordinate project activities across the full development lifecycle, including requirements gathering and analysis, solution design, development, testing, implementation and continuous service improvement.
The role requires more than implementing evaluation pipelines. It requires identifying the right research questions, designing defensible experiments, developing new evaluation methods where established benchmarks are insufficient, and translating findings into company-level technical decisions.
Design risk assessment frameworks and security guardrails for applications developed using AI-assisted software development platforms and establish testing methodologies to identify vulnerabilities in AI-generated code.
Customer needs and solution alignment: Understand business challenges, clarify requirements and work with relevant technical and delivery specialists to shape appropriate solutions.
PhD degree required, with top artificial intelligence conference papers (NeurIPS, ICML, ICLR, CVPR, ACL, OSDI, NSDI, SC and SigMOD, etc.) in machine learning (ML), computer vision (CV), natural language processing (NLP) and other fields.
Own the sales pipeline: Manage leads, opportunities, proposals, quotations, tenders and negotiations, ensuring consistent follow-up throughout the sales cycle.
Collaborate with researchers and engineers to define research directions, develop prototypes, and translate research outcomes into practical solutions for real-world technical and business challenges.