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A digital media company is seeking a Senior ML Engineer to enhance ad performance through scalable machine learning systems. This role combines software development and machine learning to directly influence revenue and user engagement. The ideal candidate will have over 5 years of relevant experience, focusing on advertising systems, and expertise in Python, SQL, and various machine learning frameworks. This position offers a remote-first work culture, allowing you to collaborate with a diverse, global team.
Join to apply for the Senior ML Engineer, Ad Performance role at Launch Potato. Be among the first 25 applicants.
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world's leading brands through data‑driven content and technology.
Headquartered in South Florida with a remote‑first team spanning over 15 countries, we've built a high‑growth, high‑performance culture where speed, ownership, and measurable impact drive success.
At Launch Potato, you'll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high‑performers.
We turn audience attention into action through data, machine learning, and relentless optimisation.
Are you a Machine Learning Engineer with a passion for bridging technical expertise and business acumen?
Do you thrive in building scalable, reliable systems that directly move revenue?
If you're eager to collaborate globally, face challenges head‑on, and make substantial impact, we're looking for you to join our dynamic team.
In this role, you'll work at the intersection of advertising algorithms, personalisation and optimisation... building the ML software and infrastructure that drives ad performance and user engagement at scale.
Elevate Launch Potato's advertising performance by building scalable, production‑ready ML systems that optimise revenue while enhancing user experience.
You'll collaborate across teams to design, deploy, and refine algorithms that improve ad targeting, relevance and efficiency at global scale.
Since day one, we've been committed to having a diverse, inclusive team and culture.
We are proud to be an Equal Employment Opportunity company.
We do not discriminate based on race, religion, colour, national origin, gender (including pregnancy, childbirth or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
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