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Machine Learning Engineer II

EXTRA HOLIDAYS - EXTRA PARENTAL LEAVE

Remote:

Hybrid

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

London (GB), Stockholm (SE)

Offer summary

Qualifications:

Strong background in machine learning theory and practice, Experience implementing and maintaining production ML systems.

Key responsabilities:

Contribute to designing, building, evaluating, shipping, and refining Spotify’s product through hands-on ML development
Collaborate with agile teams to create new product features that enhance user experience
Prototype new approaches and scale solutions for millions of active users
Drive optimization, testing, and tooling to enhance quality in ML models

Spotify Music XLarge https://www.lifeatspotify.com/

5001 - 10000 Employees

HQ: Stockholm

See more Spotify offers

Job description

Your missions

We in the Machine Learning product area in the Activation, Retention, Conversion studio are focused on building robust and scalable machine learning solutions that can personalize activation, retention and conversion funnels to improve important business metrics like SUBS and MAU. Through our messaging platform as well as other discovery & conversion surfaces, we communicate with users to connect them with valuable audio content and to help the business grow.

Our vision is to build the machine learning models and infrastructure that offers a fully personalized and ML-optimized experience for listeners throughout their user journey that powers every messaging and conversion campaign at Spotify.

This role sits in a squad called White Mouse that owns the optimization of plan upsell targeting across Spotify. Our key problem areas are: What plan should the user be upsold on discovery surfaces? How should we communicate the user on consideration surfaces? How should we balance upselling plans vs other paid products?

What You'll Do

Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development

Collaborate with a multi-functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways

Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users

Help drive optimisation, testing, and tooling to improve quality

Be part of an active group of machine learning practitioners in your mission and across Spotify

Who You Are

You have a strong background in machine learning, theory, and practice

You are comfortable explaining the intuition and assumptions behind ML concepts

You have hands-on experience implementing and maintaining production ML systems in Python, Scala, or similar languages

Experience with TensorFlow is also a plus

You are experienced with building data pipelines, and you are self-sufficient in getting the data you need to build and evaluate your models

You preferably have experience with cloud platforms like GCP or AWS

You care about agile software processes, data development, reliability, and focused experimentation

You have a desire to drive business impact