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Urgent! Senior Machine Learning Engineer, Ad Performance Job Opening In WorkFromHome – Now Hiring Launch Potato

Senior Machine Learning Engineer, Ad Performance



Job description

Senior Machine Learning Engineer, Ad Performance

Join to apply for the Senior Machine Learning Engineer, Ad Performance role at Launch Potato .

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.

We are a discovery and conversion company whose mission is to connect consumers with the world’s leading brands through data-driven content and technology.

Headquartered in South Florida, we operate a remote‑first team spanning more than 15 countries and thrive on speed, ownership, and measurable impact.

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 are a Machine Learning Engineer who loves to fuse technical expertise with business insight and want to build scalable, reliable systems that directly influence revenue, we want you.

YOUR ROLE

As a Senior ML Engineer you will build and maintain the ML software and infrastructure that powers ad performance and user engagement at scale.

You will collaborate across teams to design, deploy, and refine algorithms that improve ad targeting, relevance, and efficiency worldwide.

RESPONSIBILITIES

  • 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.

QUALIFICATIONS

  • 5+ years of software development and ML engineering, including 3+ years focused on advertising systems.

  • Proven experience optimizing ad performance using mature models and emerging ML technologies.

  • Expertise in at least one ML area: 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.

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 – drive projects through to impact despite challenges.

  • 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.

Equal Employment Opportunity

Since day one, we have 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.

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Required Skill Profession

Redes Y Sistemas



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