Engineering Manager, ML Recommendations & Ranking

Polluxa, Inc.; Menlo Park (CA); On-site; USD 190,000 - 230,000; Full time

Job summary

Polluxa, Inc. is seeking an Engineering Manager for Machine Learning to oversee multiple ML engineering teams responsible for building and operating large-scale recommendation and ranking systems.

You will drive strategy, architecture, and deployment practices, while mentoring engineers and aligning research with product outcomes. You will collaborate with product, data science, and research to shape problem formulations, prioritize experiments, and translate improvements into measurable product

Qualifications

• 8+ years of software engineering with focus on ML systems
• 4+ years managing engineering teams
• Experience driving technical strategy for ML systems across full model lifecycle
• Experience partnering cross-functionally with product, data science, and research teams
• Experience recruiting and retaining ML engineering talent in high-impact areas

Responsibilities

• Manage multiple teams of ML engineers and technical leaders delivering large-scale recommendation and ranking systems from model development to production serving
• Drive the technical strategy and roadmap for ML systems initiatives across architectures and deployment approaches
• Engage with technical direction and code quality, staying current with state-of-the-art research in recommendation systems
• Partner with product, data science, and research to define problem formulations and translate model improvements into measurable outcomes
• Recruit, develop, and retain ML engineers and engineering leaders with expertise in recommendation systems
• Champion adoption of SOTA techniques including deep learning, transformer models, and multi-objective optimization
• Identify and resolve execution risks across projects, including data quality issues, model performance regressions, and infrastructure bottlenecks
• Establish a team culture valuing code quality, experimentation discipline, and continual learning from research
• Hold leaders accountable for performance and cross-functional engagement
• Represent the team’s work to leadership with clear tradeoffs and strategic implications

Job description

Polluxa, Inc. is seeking an Engineering Manager for Machine Learning to oversee multiple ML engineering teams responsible for building and operating large-scale recommendation and ranking systems.

You will drive strategy, architecture, and deployment practices, while mentoring engineers and aligning research with product outcomes. You will collaborate with product, data science, and research to shape problem formulations, prioritize experiments, and translate improvements into measurable product