Logo
Launch Potato

Principal Machine Learning Engineer, Recommendation Systems

Launch Potato, New Haven, Connecticut, us, 06540

Save Job

Overview

Principal Machine Learning Engineer, Recommendation Systems Base pay range: $160,000.00/yr - $250,000.00/yr 3 days ago Be among the first 25 applicants. Get AI-powered advice on this job and more exclusive features. We are Launch Potato, a profitable digital media company reaching 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. Compensation:

$160,000 to $250,000 per year, paid semi-monthly Responsibilities

Establish the technical vision for personalization at Launch Potato, solving the company’s most complex ML challenges and influencing strategy, architecture, and innovation across teams. Define company-wide personalization strategy and architecture, driving alignment across all ML teams. Solve critical technical challenges such as cold start, real-time learning, and exploration/exploitation tradeoffs. Design and implement advanced ML solutions using cutting-edge techniques (e.g., graph neural networks, causal models, bandit algorithms). Create and enforce ML architecture patterns, design standards, and reusable infrastructure across teams. Lead multi-quarter, cross-functional initiatives that redefine how personalization impacts business KPIs. Act as technical mentor to senior ML engineers, guiding complex decision-making and scaling team capability. Represent Launch Potato’s technical brand externally through speaking engagements, open source contributions, or publications. Champion privacy-preserving personalization, responsible AI practices, and adaptive learning systems. Qualifications

Must have: Expertise building ML systems with deep expertise in large-scale personalization. Recognized industry expertise through patents, publications, or significant product impact. Proven success architecting ML platforms serving billions of predictions in production. Demonstrated track record of 0→1 innovation in personalization or recommender systems. Mastery across multiple ML domains including deep learning, causal inference, multi-armed bandits, and graph-based models. Experience: 10+ years designing, developing, and deploying large-scale machine learning systems with a focus on personalization. Compensation

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost-of-living adjustments. EEO and Diversity

We are 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. Job postings and related

Seniority level: Director Employment type: Full-time Job function: Engineering and Information Technology Industries: Advertising Services Referrals increase your chances of interviewing at Launch Potato by 2x. Get notified about new Machine Learning Engineer jobs in New Haven, CT.

#J-18808-Ljbffr