Lead Machine Learning Engineer, Ad Performance - Remote

Overview

As a Lead Machine Learning Engineer at Launch Potato, you will drive the optimization of ad performance through data-driven machine learning solutions, collaborating with a global team to enhance user engagement and revenue.

In Short

• Lead the development of machine learning systems for ad performance.
• Collaborate with global teams to enhance algorithms and ad targeting.
• Utilize data-driven approaches to optimize revenue and user experience.
• Design scalable and production-ready ML systems.
• Conduct rigorous A/B testing to measure impact on KPIs.
• Stay updated with emerging ML technologies and integrate them into systems.
• Work in a remote-first environment with a diverse team.
• Drive measurable impact through innovative solutions.
• Communicate complex ideas clearly across teams.
• Foster a high-performance culture focused on speed and ownership.

Requirements

• 7+ years of software development and ML engineering experience.
• 3+ years of experience in advertising systems.
• Proven experience in optimizing ad performance with ML technologies.
• Expertise in Recommendation Systems, NLP, or Computer Vision.
• Proficiency in Python, SQL, and ML frameworks like TensorFlow and PyTorch.
• Familiarity with distributed data processing and cloud infrastructure.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Project management skills and ability to drive projects to completion.
• Ability to align ML systems to business outcomes.

Benefits

• Competitive base salary with profit-sharing bonuses.
• Opportunity to work in a performance-driven culture.
• Career growth through ownership of outcomes.
• Remote-first work environment with flexibility.
• Diverse and inclusive company culture.
• Access to cutting-edge technologies and tools.
• Support for continuous learning and development.
• Health and wellness benefits.
• Collaborative team environment.
• Focus on measurable impact and innovation.