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Senior Machine Learning Engineer, Ad Performance

A profitable digital media company reaching 30M+ monthly visitors through brands like FinanceBuzz, All About Cookies, and OnlyInYourState.
Stamford, CT, USA
$165,000 - $215,000
Machine Learning
Senior Software Engineer
Remote
101 - 500 Employees
5+ years of experience
AI · Enterprise SaaS · Advertising

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.

The ideal candidate will work at the intersection of advertising algorithms, personalization, and optimization, developing ML software and infrastructure that drives revenue. With a base salary range of $165,000–$215,000, this position offers the opportunity to make substantial impact in a high-growth environment.

The role requires deep technical expertise in ML engineering, particularly in advertising systems, combined with strong business acumen. You'll be responsible for developing and deploying complex ML systems that optimize ad performance while enhancing user experience. Working with a global team spanning 15+ countries, you'll collaborate across product, data, and engineering teams to deliver measurable results.

Key responsibilities include developing scalable advertising algorithms, implementing cutting-edge ML approaches, building real-time ad decisioning infrastructure, and conducting rigorous experimentation. The role demands expertise in Python, SQL, modern ML frameworks, and distributed systems, along with strong analytical and communication skills.

Launch Potato offers a performance-driven culture where you can accelerate your career by owning outcomes and driving impact. The company provides profit-sharing bonuses and competitive benefits, with future compensation increases based on performance rather than annual adjustments.

Last updated 6 hours ago

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

Python
  • 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

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