Machine Learning Engineering Manager - Content Platform

fective manner to technical and non-technical audiences.

• Collaborate with other team members and cross-functionally to share knowledge and discuss initiatives.

Who you are

• You can draw on substantial depth and breadth of management experience to lead and grow a machine learning team.

• You collaborate well with teams with different backgrounds/expertise/functions.

• You have expertise in full product lifecycle; technical designs, project planning, iterative implementation, and successful product launches.

• You care about data-driven development, reliability, and responsible experimentation.

• You understand the application of intermediate principles of data science (machine learning, statistics, computer science, mathematics) to solve technical problems.

• You are an expect in the ML Operations lifecycle; data acquisition, model training, and model deployment.

• You love your customers even more than your code.

• You have experience and passion for mentoring and encouraging collaborative teams.

• You are experienced in cultivating a strong engineering culture in an agile environment.

Where you'll be

• Where in the world? For this role, you will be in New York.

Our global benefits

Extensive learning opportunities, through our dedicated team, GreenHouse.

Flexible share incentives letting you choose how you share in our success.

Global parental leave, six months off - fully paid - for all new parents.

All The Feels, our employee assistance program and self-care hub.

Flexible public holidays, swap days off according to your values and beliefs.

Learn about life at Spotify

The United States base range for this position is $156,432 - $195,540 plus equity. The benefits available for this position include 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. These ranges may be modified in the future.