Senior Software Engineer, Generative AI, Ads Safety

Job description

Write and test product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Engineer a sophisticated toolkit for the automated model training lifecycle, deploying AI agents to automate model evaluation and prompt optimization, effectively removing human intervention from the critical path of model development. Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Design and implement end-to-end (E2E) ML architectures for Ads Safety, including developing robust capabilities for automated model refreshing, high-scale data pipelining/funneling, and proactive signal integration to improve overall detection quality. Minimum Qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development, applied ML, autonomous systems, and large-scale systems design. 3 years of experience with end-to-end machine learning (e.g., model building, model deployment, model evaluation, optimization, data processing, and debugging). 3 years of experience with one or more of the following machine learning specializations: Multi-Modal LLMs, Computer Vision, NLP, Reinforcement Learning. 1 year of experience with GenAI techniques (e.g., Agentic Workflows, RAG, ICL, or RSI). Preferred Qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures and algorithms. 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. 1 year of experience in a technical leadership role. Experience developing accessible technologies.