Lead ml engineer, ad performance
job opportunity:
we're seeking an experienced lead to spearhead our ad performance optimization efforts.
key responsibilities:
* develop and scale sophisticated algorithms that optimize engagement and revenue simultaneously
* apply cutting-edge machine learning approaches (e.g., reinforcement learning, deep learning for ranking) to enhance ad effectiveness
* build scalable infrastructure to support real-time ad decisioning across millions of requests per day
* conduct rigorous experiments (a/b and multivariate tests) to measure model impact on business metrics
* continuously improve etl pipelines and monitoring systems to ensure reliable ad delivery
* collaborate with cross-functional teams to launch high-impact ad features
* stay ahead of emerging technologies and integrate them into our machine learning stack when they create a competitive advantage
requirements:
* 7+ years of software development and machine learning engineering experience, including 3+ years focused on advertising systems
* proven experience optimizing ad performance using both mature models and emerging machine learning technologies
* expertise in one or more machine learning areas: recommendation systems, advertising algorithms, nlp, or cv
* proficiency with python, sql, and modern machine learning frameworks (tensorflow, pytorch)
* familiarity with distributed data processing (spark, ray) and cloud infrastructure (aws/gcp)
* strong analytical problem-solving skills with a proven track record of delivering measurable results
* excellent communication, teamwork, and project management skills