Machine Learning Engineer, Growth Engineering

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Company Overview

A leading live commerce marketplace is building a global platform that enables people to buy, sell, and discover products through live shopping experiences. The platform supports sellers across categories including trading cards, fashion, electronics, live plants, and many other areas, helping individuals turn their passions into businesses.

The organization operates as a remote co-located team with hubs across the United States, United Kingdom, Ireland, Poland, Germany, and Australia. The company emphasizes rapid execution, close collaboration with users, and high-impact initiatives while continuing to shape the emerging live commerce industry.

The salary or hourly rate range may be inclusive of several levels applicable to the position. Final compensation will be determined based on factors including level, relevant prior experience, skills, and expertise. The stated range represents base salary or hourly rate and does not include benefits or equity.

Role

The Buyer Growth team is responsible for driving top-of-funnel growth and improving first-time buyer success. The Machine Learning Engineer will accelerate buyer growth through intelligent, data-driven experiences and will build and own machine learning models that support personalization during onboarding and user targeting across acquisition and engagement channels.

As the first Machine Learning Engineer on the team, the successful candidate will have significant ownership over the development and implementation of machine learning capabilities. This is a high-impact opportunity focused directly on expanding the buyer base and improving first-time user conversion.

Key Responsibilities

• Lead the design, development, and productionization of machine learning models supporting user acquisition, activation, and retention.
• Develop solutions such as ranking models, targeting systems, and uplift modeling to improve growth outcomes.
• 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 systems.
• Identify and prioritize high-impact opportunities where machine learning can accelerate business growth.
• Collaborate closely with product, engineering, data, and marketing stakeholders to develop and execute growth initiatives.
• Establish and promote machine learning best practices across the Buyer Growth team.
• Drive technical excellence and ensure machine learning systems are reliable, scalable, and measurable.
• Use experimentation and data-driven analysis to evaluate model performance and business impact.

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 and intuition around user behavior in consumer products.
• Advanced proficiency in Python and SQL.
• Strong experience with common machine learning frameworks such as PyTorch, TensorFlow, or XGBoost.
• Strong communication and leadership skills.
• Ability to influence technical and product roadmaps and align cross-functional teams.
• Growth mindset with a willingness to take ownership and focus on high-impact opportunities.

Preferred Qualifications

• Experience building machine learning applications within e-commerce or social products.
• Prior experience working in growth-focused domains such as user segmentation, retention modeling, large-scale recommendation systems, or notification ranking.
• Experience developing personalization systems for consumer-facing products.
• Experience with online experimentation and optimization of user acquisition and engagement.
• Experience translating machine learning capabilities into measurable business growth.

Disclaimer

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