Senior Machine Learning Engineer, Ad Performance
Job Description
Launch Potato is seeking a Senior Machine Learning Engineer to join their remote-first team. As The Discovery and Conversion Company, they connect consumers with leading brands through data-driven content and technology. The role focuses on building scalable ML systems that optimize ad performance and user engagement at scale. You'll work at the intersection of advertising algorithms, personalization, and optimization, directly impacting revenue through ML software and infrastructure development. The company offers a competitive base salary of $165,000–$215,000, along with profit-sharing bonuses and benefits. With a global team across 15+ countries, they've built a high-growth, high-performance culture emphasizing speed, ownership, and measurable impact. The ideal candidate brings both technical depth in ML systems and business acumen, with 5+ years of experience in software development and ML engineering. This role offers the opportunity to work with cutting-edge technologies while delivering measurable business results in a fast-paced, collaborative environment.
Responsibilities For Senior Machine Learning 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 Machine Learning 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
Benefits For Senior Machine Learning Engineer, Ad Performance
- Profit-sharing bonus
- Competitive benefits package
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