Senior ML Engineer, Ad Performance
Job Description
Launch Potato is seeking a Senior ML Engineer to join their remote-first team focused on ad performance optimization. As The Discovery and Conversion Company, they connect consumers with leading brands through data-driven content and technology. The role involves building scalable ML systems that optimize revenue while enhancing user experience, working at the intersection of advertising algorithms, personalization, and optimization.
The ideal candidate will bring both technical depth and business acumen, with 5+ years of software development experience including 3+ years in advertising systems. You'll be responsible for developing and deploying complex ML systems that directly impact revenue, using technologies like Python, SQL, TensorFlow, and PyTorch. The role requires expertise in areas such as Recommendation Systems, Advertising Algorithms, NLP, or Computer Vision.
Working in a high-performance culture spanning 15+ countries, you'll collaborate with global teams to design, deploy, and refine algorithms that improve ad targeting, relevance, and efficiency at scale. The position offers a competitive base salary range of $165,000–$215,000, plus profit-sharing bonuses and benefits. Launch Potato values impact-oriented individuals who can write clean, production-ready code and architect scalable systems while staying current with ML/AI trends.
This is an excellent opportunity for a seasoned ML engineer looking to make substantial impact in a fast-paced, remote-first environment while working on cutting-edge advertising technology solutions.
Responsibilities For Senior ML Engineer, Ad Performance
- Develop and scale advertising algorithms that optimize engagement and revenue simultaneously
- Apply cutting-edge ML approaches to improve ad performance
- Build scalable infrastructure to support real-time ad decisioning across millions of requests per day
- Conduct rigorous experiments (A/B and multivariate tests) to measure model impact on business KPIs
- Continuously improve ETL pipelines and monitoring systems to ensure reliable ad delivery
- Collaborate with global teams across product, data, and engineering to launch high-impact ad features
- Stay ahead of emerging technologies and integrate them into our ML stack
Requirements For Senior ML Engineer, Ad Performance
- 5+ years of software development and ML engineering, including 3+ years focused on advertising systems
- Proven experience optimizing ad performance using both mature models and emerging ML technologies
- Expertise in one or more ML areas: Recommendation Systems, Advertising Algorithms, NLP, or CV
- Proficiency with Python, SQL, and modern ML frameworks (TensorFlow, PyTorch)
- Familiarity with distributed data processing (Spark, Ray) and cloud infrastructure (AWS/GCP)
- Strong analytical problem-solving skills with a proven track record of delivering measurable results
- Excellent communication, teamwork, and project management skills
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