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 a profitable digital media company reaching over 30M+ monthly visitors, they're looking for someone to build scalable ML systems that drive advertising performance and user engagement. The role combines technical ML expertise with business acumen, requiring 5+ years of experience in software development and ML engineering. You'll work at the intersection of advertising algorithms, personalization, and optimization, building infrastructure that handles millions of daily requests. The position offers a competitive base salary of $165,000–$215,000 plus profit-sharing bonuses. The company maintains a high-performance culture across 15 countries, emphasizing speed, ownership, and measurable impact. This role is perfect for someone who can bridge technical depth with business strategy, using technologies like Python, SQL, TensorFlow, and PyTorch to optimize ad performance while enhancing user experience.
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
Benefits For Senior ML Engineer, Ad Performance
- Profit-sharing bonus
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