Machine Learning Engineer, Growth Engineering

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Company Overview

A leading live commerce marketplace connects buyers and sellers through interactive shopping experiences across categories including trading cards, fashion, electronics, live plants, and more. The platform enables sellers to build businesses while creating new ways for consumers to discover and purchase products through live commerce.

The organization operates as a distributed, collaborative team with hubs across the United States, United Kingdom, Ireland, Poland, Germany, and Australia. Its engineering and product teams focus on moving quickly, staying close to users, and building technology that supports the growth of a new category of commerce.

The Buyer Growth team is responsible for driving top-of-funnel growth and improving first-time buyer success. The organization is seeking a Machine Learning Engineer, Growth Engineering to develop intelligent, data-driven experiences that accelerate buyer growth and improve user retention.

The role will focus on building and owning machine learning personalization models across acquisition and engagement channels. As a key member of the machine learning team, the engineer will contribute to high-impact initiatives involving user acquisition, activation, retention, personalization, ranking, targeting, and experimentation.

Key Responsibilities

• Lead the design, development, and productionization of machine learning models that support user acquisition, activation, and retention.
• Develop machine learning solutions including ranking models, targeting systems, and uplift modeling.
• Own the complete machine learning lifecycle, including data pipelines, feature engineering, model training, deployment, and online experimentation.
• Build feedback loops using postbacks, conversions, and downstream revenue signals to continuously improve machine learning models.
• Identify and prioritize high-impact opportunities where machine learning can drive growth.
• Collaborate with product, engineering, data, and marketing teams to identify business opportunities and translate them into machine learning solutions.
• Drive technical excellence and establish machine learning best practices across the Buyer Growth team.
• Develop scalable personalization and user modeling solutions based on consumer behavior.
• Contribute to experimentation frameworks and data-driven decision-making across acquisition and engagement channels.
• Help improve user conversion, retention, and overall buyer growth through intelligent product experiences.

Required Qualifications

• 5+ years of industry experience building and deploying machine learning systems at scale.
• Demonstrated success leading end-to-end machine learning projects that produced measurable business outcomes.
• Deep expertise in personalization, ranking, or user modeling.
• Strong understanding of user behavior within consumer products.
• Advanced proficiency in Python and SQL.
• Strong experience with common machine learning frameworks such as PyTorch, TensorFlow, or XGBoost.
• Experience developing and productionizing machine learning models.
• Strong understanding of machine learning experimentation and model deployment.
• Excellent communication and leadership skills.
• Ability to influence technical and product roadmaps.
• Ability to collaborate effectively with cross-functional teams.

Preferred Qualifications

• Experience building machine learning applications for e-commerce or social products.
• Prior experience in growth-focused machine learning domains.
• Experience with user segmentation and retention modeling.
• Experience building large-scale recommendation systems.
• Experience with notification ranking and optimization.
• Experience developing personalization systems for consumer-facing products.
• Experience connecting machine learning models to business growth metrics and downstream revenue signals.

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