Tech Stack

Description

You will design and deploy production-grade ML models for ad relevance, targeting, and optimization within Lyft Ads. Collaborating across engineering, product, and sales, you'll build systems that personalize ad experiences for riders and drive measurable revenue growth.

Requirements

• MS/PhD in ML, CS, Statistics, or related field; or equivalent experience
• 3-5 years hands-on ML/applied science experience with production models
• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, JAX, scikit-learn)
• Experience with large-scale datasets and distributed tools (Spark, Snowflake, Presto, Databricks)
• Experience building ranking/relevance models, optimization algorithms, or causal measurement methods

Responsibilities

• Design and deploy production ML models for ad relevance, targeting, ranking, bid optimization, pacing, and measurement
• Own end-to-end modeling lifecycle from problem definition to monitoring
• Integrate models into real-time ad-serving and batch decision systems
• Analyze large-scale mobility and behavioral datasets to guide product improvements
• Implement rigorous model evaluation frameworks and A/B experimentation