1 day ago be among the first 25 applicants who are we? 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. Why join us? 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 optimization. If you’re a machine learning engineer with a passion for bridging technical expertise and business acumen, thrive in building scalable, reliable systems that directly move revenue, and want to collaborate globally, face challenges head‑on, and make substantial impact, we’re looking for you to join our dynamic team. Must have 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 your role your mission: elevate launch potato’s advertising performance by building scalable, production‑ready ml systems that optimize 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. Outcomes develop and scale advertising algorithms that optimize engagement and revenue simultaneously apply cutting‑edge ml approaches (e.g., reinforcement learning, deep learning for ranking) 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 when they create competitive advantage competencies impact‑oriented: align ml systems to business outcomes and measure what matters technical builder: write clean, production‑ready code and architect scalable systems collaborative: work seamlessly with global teams and communicate complex ideas clearly resilient & determined: don’t shy from challenges and drive projects through to impact curious innovator: keep pace with ml/ai trends and creatively apply them to advertising analytical problem‑solver: break down complex systems and find data‑driven solutions 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 value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, 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. J-18808-ljbffr