About Spotify
The ultimate destination for music and podcasts
Key Highlights
- 180 million+ paying subscribers worldwide
- $2.1 billion raised in Series G funding
- Acquired Gimlet Media, Anchor, and Parcast for podcasting
- Headquartered in Norrmalm, Stockholm with 1001+ employees
Spotify, headquartered in Norrmalm, Stockholm, is a leading commercial music streaming service with over 180 million paying subscribers globally. Founded to combat music piracy, Spotify has raised $2.1 billion in funding and is currently in its Series G stage. The platform not only offers a vast cat...
๐ Benefits
Spotify offers global parental leave with six months of fully paid time off for new parents, flexible public holidays to align with personal values, a...
๐ Culture
Spotify's culture is rooted in its mission to support creative artists while providing an accessible platform for fans. The company values innovation ...
Skills & Technologies
Overview
Spotify is hiring a Machine Learning Engineering Manager for their Personalization team to lead the development of ML infrastructure and models that enhance user recommendations. You'll work at the intersection of machine learning and backend engineering, guiding a team of engineers to deliver impactful solutions. This role requires strong expertise in machine learning and backend systems.
Job Description
Who you are
You have a strong background in machine learning and backend engineering, with experience leading teams that build scalable systems. You understand the intricacies of machine learning models and how they can be applied to enhance user experiences. Your leadership style fosters collaboration and innovation, enabling your team to thrive in a dynamic environment.
You possess excellent communication skills, allowing you to effectively collaborate with product managers and other stakeholders to define product roadmaps and technical strategies. You are comfortable working with diverse content formats and understand the importance of delivering engaging experiences to users.
What you'll do
As the Machine Learning Engineering Manager, you will lead a team responsible for the entire ML stack for targeting, including real-time decisioning and campaign-level optimization. You will guide your team in developing machine learning models that power Spotify's content promotion strategy, ensuring that every recommendation delivers value to listeners and impact for creators.
You will collaborate closely with product managers to shape the product roadmap and technical strategy, ensuring alignment with business goals. Your role will involve mentoring engineers, fostering their professional growth, and driving technical excellence within the team.
You will oversee the development of ML infrastructure that supports the personalization of content across Spotify's major surfaces, including Home, Browse, and Search. Your leadership will be crucial in evolving targeting capabilities and enhancing the overall user experience.
What we offer
At Spotify, you will be part of a team that values creativity and innovation. We offer a flexible work environment that allows you to thrive while making a significant impact on millions of users. You will have the opportunity to work with cutting-edge technologies and collaborate with talented professionals in the field.
We encourage you to apply even if your experience doesn't match every requirement. Join us in shaping the future of audio content and making great recommendations for our listeners.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at Spotify.
Similar Jobs You Might Like
Based on your interests and this role
Machine Learning Engineer
Spotify is hiring a Machine Learning Engineer for their Personalization team to enhance music, podcast, and audiobook recommendations. You'll work with AI and ML techniques, including Large Language Models, to build scalable systems. This role requires experience in ML engineering.
Machine Learning Engineer
Datatonic is hiring a Senior Machine Learning Engineer to drive AI and data transformation for clients. You'll work with Python and Google Cloud Platform to develop innovative machine learning solutions. This role requires strong ML fundamentals and excellent communication skills.
Engineering Manager
Plaid is hiring an Engineering Manager - Machine Learning to lead a team of Machine Learning Engineers and Data Scientists. You'll work on building and scaling ML systems that enhance financial experiences. This position requires experience in machine learning and data science techniques.
Engineering Manager
TwelveLabs is hiring an Engineering Manager, Machine Learning to lead ML systems and platform engineering efforts. You'll mentor a team of ML engineers and advance the state of the art in vision-language modeling. This position requires strong leadership and technical expertise in machine learning.
Machine Learning Engineer
Qualtrics is hiring a Manager of Machine Learning to lead the AI Core organization in managing the model development lifecycle for AI/ML applications. You'll work with Python and other technologies to build scalable AI solutions. This position requires significant experience in machine learning and leadership skills.