Staff Machine Learning Engineer, Ads Conversion Core Modeling
About the role
Lead technical direction and development of state-of-the-art applied ML projects for ads conversion, design and build large-scale DNN models to improve user action prediction with low latency, mine text, visual, and user signals to better understand intention and infer interests from online activity, use AI to accelerate analysis and iteration, while applying judgment and verification to ensure correctness and quality, automate repeatable tasks such as documentation, reporting, and QA checks to speed up the development lifecycle, coach and mentor engineers while collaborating with product and sales to design new ad products.
Candidates will join an innovative team pushing engineering boundaries. Depending on the domains associated with this job, you will be expected to design clean APIs, write automated test cases, and participate in peer code reviews. We value developers who focus on performance optimization, fast load times, and simple, maintainable architectures.