Principal Engineer - Machine Learning Architecture
MarqetaFull Time
Expert & Leadership (9+ years)
Candidates must have 7+ years of experience in ML engineering, with at least 2 years leading technical teams. A Bachelor's or Master's degree in Computer Science or equivalent experience is required. Deep expertise in large-scale personalization systems, modern ML architectures (two-tower, transformer-based, graph neural networks), and strong system design skills for ML infrastructure are essential. Proven ability to mentor engineers, drive technical decisions, and manage stakeholder relationships and project delivery are also necessary.
The Lead Machine Learning Engineer will lead a team of 3-5 ML engineers in building personalization systems and architect multi-stage ranking systems. They will define the technical roadmap aligned with business objectives, drive improvements in model quality, system reliability, and development velocity, and establish best practices for model development and deployment. This role involves partnering with product, data science, and engineering teams, and contributing hands-on to critical model development through coding.
Digital media company connecting consumers with products
Launch Potato operates in the digital media sector, focusing on connecting consumers with new products and services through its various digital brands. The company utilizes smart marketing strategies, advanced engineering, and data science to enhance consumer discovery and engagement. Its business model includes generating revenue through advertising, affiliate marketing, and lead generation, allowing it to effectively match consumers with offerings that suit their needs. Unlike many competitors, Launch Potato emphasizes a distributed global team, which fosters a flexible and innovative work culture. The company's goal is to help consumers improve their lives by providing access to valuable products and services while maintaining a strong focus on growth and workplace satisfaction.