Principal Machine Learning Engineer, Recommendation Systems

Launch Potato; Nashua (NH); Remote; USD 160,000 - 250,000; Full time

Job summary

A leading data-driven technology company is seeking a senior ML architect to build and lead personalization strategies. This role demands expertise in large-scale machine learning systems with significant industry impact. You will define technical vision, solve complex challenges, and mentor engineers in a fast-paced environment. The offered salary ranges between $160,000 to $250,000 annually.

Benefits

Competitive salary

Total compensation includes performance-based components

Diversity and inclusion initiatives

Qualifications

• 10+ years designing, developing, and deploying large-scale ML systems focused on personalization.

Responsibilities

• Establish the technical vision for personalization at Launch Potato.
• Define company-wide personalization strategy and architecture.
• Solve critical technical challenges in ML.
• Design and implement advanced ML solutions.
• Lead cross-functional initiatives impacting business KPIs.
• Mentor senior ML engineers.

Skills

Expertise building ML systems

Recognized industry expertise

Proven success architecting ML platforms

Demonstrated track record of innovation

Mastery across multiple ML domains

Job description

Overview

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.

Base salary: $160,000 to $250,000 per year, paid semi-monthly

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

Your role

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.

Outcomes

• 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

Competencies

• Visionary Thinking: Defines the future state of ML infrastructure and personalization strategy. Balances deep technical rigor with a strong understanding of product impact.
• Architectural Excellence: Designs scalable, modular systems that support billions of predictions and enable rapid experimentation. Sets high standards for maintainability and performance.
• Technical Influence: Drives decision-making and builds consensus across teams and stakeholders without direct authority. Provides trusted guidance in ambiguous situations.
• Expert-Level Execution: Navigates deep technical complexity while maintaining execution velocity. Translates research insights into production-ready solutions.
• Mentorship & Leadership: Coaches senior engineers, facilitates technical reviews, and raises the technical bar for the entire organization.
• External Thought Leadership: Represents LP in the ML community and contributes to growing its reputation as a leader in ML innovation.
• Curious & Forward-Looking: Constantly explores new approaches to personalization and actively prototypes cutting-edge methodologies.

Total Compensation

Total compensation combines base salary with performance-based components and competitive benefits. Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Future increases are based on company and personal performance, not annual cost-of-living adjustments.

Want to accelerate your career? Apply now!

We are 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.