Staff Software Engineer, Machine Learning (Consumer Revenue)

Responsibilities

• 8+ years of experience in applied Machine Learning, inclusive Ph.D. or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• Strong expertise in applied deep learning and mainstream RecSys model architecture (e.g. two-tower, transformer-based models, multi-task learning).
• Strong proficiency in Python and ML frameworks such as PyTorch, JAX, or TensorFlow.
• A track record of building ML systems from 0→1 in ambiguous, early-stage environments, and taking them to production at scale.
• Strong product and business intuition, with the ability to translate experiment results into roadmap decisions.
• Excellent communication and collaboration skills — able to lead cross-functional technical initiatives across multiple verticals and keep stakeholders educated and aligned.
• The ability to thrive in ambiguous environments, energized by open-ended, technically challenging problems.
• What you should have
• Built internal ML platform/tooling (shared data standards, targeting endpoints, recommender libraries) adopted by multiple product teams.
• Familiarity with personalized marketing systems — lifecycle targeting, audience segmentation and lookalikes, campaign optimization.

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