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Launch Potato

Senior Machine Learning Engineer, Ad Performance

Launch Potato, Nashua, New Hampshire, us, 03062

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Senior Machine Learning Engineer, Ad Performance

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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. 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. 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.

COMPENSATION $165,000 – $215,000 per year, paid semi‑monthly.

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 is to 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: drive projects 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

TOTAL COMPENSATION Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. The package includes a base salary, profit‑sharing bonus, and competitive benefits. Future increases are based on performance, not cost‑of‑living adjustments.

EEO STATEMENT 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, sexual orientation, gender identity, age, veteran status, disability, or other legally protected characteristics.

Want to accelerate your career? Apply now!

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