Senior Software Engineer, Generative AI, Ads Safety
Mountain View, CA, USA$174k - $252kFull-timePosted 2w ago
About the role
Software engineer role focused on building and deploying GenAI-driven solutions within the Ads Safety ML Accelerator team to improve policy enforcement latency and automated ML lifecycle processes.
Responsibilities
- 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.
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).
Skills
Required:Software developmentApplied MLEnd-to-end MLGenAI techniques
Last updated Oct 23, 2026. Interested? Apply on the company site.
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