Machine Learning Engineer - Personalization (NY)

About The Opportunity

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. We’re behind some of the most-loved features.

We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We work on complex sequencing and optimization problems—balancing what users love with how it supports creators and the business.

Our team blends machine learning, backend engineering, and data expertise, and collaborates across North America and Europe to deliver impactful, real-time personalization at scale.

We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location. This team operates within the Eastern Standard time zone for collaboration.

Responsibilities

• Design and build machine learning systems that optimize ranking and sequencing across personalized surfaces
• Develop multi-objective optimization strategies that balance user satisfaction with business outcomes
• Collaborate closely with cross-functional partners including product, data science, and engineering teams to align on goals, share context, and deliver impactful solutions
• Work across ML, backend, and data layers to bring models into production
• Contribute to scalable infrastructure supporting high-volume user interactions
• Run experiments and use insights to continuously improve performance
• Help shape technical direction and raise the bar for engineering excellence within the team

Required Qualifications

• You have 5+ years of experience in machine learning, data, or backend engineering
• You are experienced with production-grade systems and scalable architectures
• You have worked on recommendation systems, ranking, or optimization problems
• You bring a T-shaped skillset across ML, data, and backend domains
• You are comfortable navigating ambiguity and solving complex problems
• You care about user experience and measurable impact
• You enjoy collaborating across disciplines and geographies

Nice To Have Skills

Avenue Code discloses salary range information based on our commitment to fairness and transparency. We consider a wide range of factors such as internal equity, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, business or organizational needs, and others. At Avenue Code, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for a Machine Learning Engineer is from $145 to $165 yearly.

Avenue Code reinforces its commitment to privacy and to all the principles guaranteed by the most accurate global data protection laws, such as GDPR, LGPD, CCPA and CPRA. The Candidate data shared with Avenue Code will be kept confidential and will not be transmitted to disinterested third parties, nor will it be used for purposes other than the application for open positions. As a Consultancy company, Avenue Code may share your information with its clients and other Companies from the CompassUol Group to which Avenue Code’s consultants are allocated to perform its services.