Machine Learning Engineering Manager II

Quick Facts

• Role: Machine Learning Engineering Manager II

Description

Lead and grow a team of machine learning, backend, and data engineers building personalized listening experiences that balance multiple objectives. Own technical strategy and execution, aligning engineering efforts with listener needs and broader business goals. Guide ML and recommendation systems across experimentation, scalability, reliability, and model performance.

Responsibilities

• Lead and develop the engineering team across ML, backend, and data disciplines
• Define the team’s technical strategy and ensure delivery aligns with outcomes
• Guide development of multi-objective balancing and sequencing systems
• Partner with Product and engineering to set priorities and translate challenges into plans
• Support technical decision-making across experimentation, scalability, reliability, and model performance
• Drive planning and delivery while maintaining long-term technical health
• Build a culture of ownership, collaboration, continuous improvement, and inclusion

Requirements

• Experience managing and developing engineering teams
• Strong technical background in machine learning or related areas, with ability to lead technical discussions
• Understanding of production machine learning systems, including operational challenges
• Experience working cross-functionally to define priorities and deliver shared goals
• Comfort leading through ambiguity and helping engineers make informed decisions
• Commitment to inclusive, collaborative environments
• Clear, empathetic communication balancing people, technology, and business needs

Benefits

• Health insurance
• Six month paid parental leave
• 401(k) retirement plan
• Monthly meal allowance
• 23 paid days off
• 13 paid flexible holidays
• Paid sick leave